Robust Industrial Control Systems

The software for such systems could be in local controllers or in supervisory control and data acquisition (SCADA) systems. 1.1.4 Fault Monitoring and Detection Condition and fault monitoring control systems are as important as the ...

Author: Michael J. Grimble

Publisher: John Wiley & Sons

ISBN: 9780470020746

Category: Science

Page: 698

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Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems presents a comprehensive introduction to the use of frequency domain and polynomial system design techniques for a range of industrial control and signal processing applications. The solution of stochastic and robust optimal control problems is considered, building up from single-input problems and gradually developing the results for multivariable design of the later chapters. In addition to cataloguing many of the results in polynomial systems needed to calculate industrial controllers and filters, basic design procedures are also introduced which enable cost functions and system descriptions to be specified in order to satisfy industrial requirements. Providing a range of solutions to control and signal processing problems, this book: * Presents a comprehensive introduction to the polynomial systems approach for the solution of H_2 and H_infinity optimal control problems. * Develops robust control design procedures using frequency domain methods. * Demonstrates design examples for gas turbines, marine systems, metal processing, flight control, wind turbines, process control and manufacturing systems. * Includes the analysis of multi-degrees of freedom controllers and the computation of restricted structure controllers that are simple to implement. * Considers time-varying control and signal processing problems. * Addresses the control of non-linear processes using both multiple model concepts and new optimal control solutions. Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems is essential reading for professional engineers requiring an introduction to optimal control theory and insights into its use in the design of real industrial processes. Students and researchers in the field will also find it an excellent reference tool.

Nonlinear Industrial Control Systems

Grimble MJ (2006) Robust industrial control: optimal design approach for polynomial systems. Wiley, Chichester 2. Grimble MJ (2001) Industrial control systems design. Wiley, Chichester 3. Grimble MJ (1984) LQG multivariable controllers: ...

Author: Michael J. Grimble

Publisher: Springer Nature

ISBN: 9781447174578

Category: Technology & Engineering

Page: 764

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Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB® toolbox that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems. The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers: different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H∞ design methods; design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing; steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; and baseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID. Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems.

Robust Control Design with MATLAB

ity of the closed-loop system to the type of uncertainty chosen, the constraint being the internal stability of the feedback ... the authors hope readers will obtain insight into robust industrial control-system designs using major H∞ ...

Author: Da-Wei Gu

Publisher: Springer Science & Business Media

ISBN: 9781447146827

Category: Technology & Engineering

Page: 468

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Robust Control Design with MATLAB® (second edition) helps the student to learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples from teaching-laboratory experiments, such as a two-wheeled, self-balancing robot, to complex systems like a flexible-link manipulator are given detailed presentation. All of these exercises are conducted using MATLAB® Robust Control Toolbox 3, Control System Toolbox and Simulink®. By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing readers quickly to move on with their own challenges. The hands-on tutorial style of this text rests on an abundance of examples and features for the second edition: • rewritten and simplified presentation of theoretical and methodological material including original coverage of linear matrix inequalities; • new Part II forming a tutorial on Robust Control Toolbox 3; • fresh design problems including the control of a two-rotor dynamic system; and • end-of-chapter exercises. Electronic supplements to the written text that can be downloaded from extras.springer.com/isbn include: • M-files developed with MATLAB® help in understanding the essence of robust control system design portrayed in text-based examples; • MDL-files for simulation of open- and closed-loop systems in Simulink®; and • a solutions manual available free of charge to those adopting Robust Control Design with MATLAB® as a textbook for courses. Robust Control Design with MATLAB® is for graduate students and practising engineers who want to learn how to deal with robust control design problems without spending a lot of time in researching complex theoretical developments.

Robust Industrial Control

BONGERS , P. M. M. and BOSGRA , O. H. ( 1993 ) ' Robust control of wind turbine system ' , European Control Conf . , Gröningen , pp . 975-80 . 37. CHICHARO , J. G. and NG , T. S. ( 1990 ) ' A roll eccentricity sensor for steel - strip ...

Author: Michael J. Grimble

Publisher:

ISBN: STANFORD:36105010465172

Category: Automatic control.

Page: 597

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System Identification and Robust Control

[Gri&8] Micheal J. Grimble. Optimal Hoo multivariable robust controllers and the relationship to LQG design problems. Int. J. Control, 48(1):33–58, 1988. (Grig4] M.J. Grimble. Robust Industrial Control. Systems and Control Engineering.

Author: Steen Toffner-Clausen

Publisher: Springer Science & Business Media

ISBN: 9781447115137

Category: Technology & Engineering

Page: 311

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The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The present text Steen T0ffner-Clausen deals with both system identification and robust control. It provides a very comprehensive tutorial introduction to some of the most difficult topics in robust control theory before considering applications problems. Traditional Hoo robust control design concepts for multivariable systems are first considered and the problems of robust stability and performance are discussed. The following chapter introduces the idea of the structured singular value and applies this to both analysis and synthesis problems. The author manages to provide a very straightforward introduction to this subject and also introduces some new ideas.

Modelling Robustness and Sensitivity Reduction in Control Systems

MS (#36b) Industrial control system design using H - optimization. The 25" CDC conference, Athens, Greece 00 Postlethwaite I, O' Young SD, Gu DW, Tombs MS, Yue A (1987) H – control system design: a critical assessment based on ...

Author: Ruth F. Curtain

Publisher: Springer Science & Business Media

ISBN: 9783642875168

Category: Technology & Engineering

Page: 494

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Historically, one of the basic issues in control systems design has been robustness: the ability of a controlled plant to withstand variations in or lack of knowledge of its dynamics. Even if the dynamics of a system are accurately known for purposes of implementation, it is often desirable to design a control system based on a simplified model. Consequently it is essential to be able to guarantee a reasonable performance not only for the nominal plant, but also for its neighbouring perturbations: this is the issue of robustness. Since the beginning of this decade major advances have been made in this area, notably using the H -approach; this term is meant to cover the solution of sensitivity reduction, approximation and model reduction, robustness and related control design problems using the mathematics of Hardy spaces and related areas in Harmonic Analysis. This book contains the proceedings of the NATO Advanced Research Workshop on "Modelling, Robustness and Sensitivity Reduction in Control Systems", which was held at the University of Groningen, December 1986. Its aim was to explore the development of H -design techniques and its ramifications in Systems Theory in a unified and systematic way with the emphasis on recent advances and future directions in this fast developing area. In particular the following inter-related aspects were addressed: H -mathematical foundations, model approximation and robustness in control design, optimal sensitivity reduction, modelling and system identification and signal processing.

Robust Control System Networks

" Other security experts advocate risk management, implementing more firewalls and carefully managing passwords and access. Not so this book: those measures, while necessary, can still be circumvented.

Author: Ralph Langner

Publisher: Momentum Press

ISBN: 9781606503027

Category: Computers

Page: 206

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From the researcher who was one of the first to identify and analyze the infamous industrial control system malware "Stuxnet," comes a book that takes a new, radical approach to making Industrial control systems safe from such cyber attacks: design the controls systems themselves to be "robust." Other security experts advocate risk management, implementing more firewalls and carefully managing passwords and access. Not so this book: those measures, while necessary, can still be circumvented. Instead, this book shows in clear, concise detail how a system that has been set up with an eye toward quality design in the first place is much more likely to remain secure and less vulnerable to hacking, sabotage or malicious control. It blends several well-established concepts and methods from control theory, systems theory, cybernetics and quality engineering to create the ideal protected system. The book's maxim is taken from the famous quality engineer William Edwards Deming, "If I had to reduce my message to management to just a few words, I'd say it all has to do with reducing variation." Highlights include: - An overview of the problem of "cyber fragility" in industrial control systems - How to make an industrial control system "robust," including principal design objectives and overall strategic planning - Why using the methods of quality engineering like the Taguchi method, SOP and UML will help to design more "armored" industrial control systems.

Advanced Industrial Control Technology

(c) PID is a fixed controller, which cannot be used as the core of a smart control system. (4) Robust control Robust control is a controller design method that focuses on the reliability (robustness) of the control algorithm.

Author: Peng Zhang

Publisher: William Andrew

ISBN: 9781437778083

Category: Science

Page: 842

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Control engineering seeks to understand physical systems, using mathematical modeling, in terms of inputs, outputs and various components with different behaviors. It has an essential role in a wide range of control systems, from household appliances to space flight. This book provides an in-depth view of the technologies that are implemented in most varieties of modern industrial control engineering. A solid grounding is provided in traditional control techniques, followed by detailed examination of modern control techniques such as real-time, distributed, robotic, embedded, computer and wireless control technologies. For each technology, the book discusses its full profile, from the field layer and the control layer to the operator layer. It also includes all the interfaces in industrial control systems: between controllers and systems; between different layers; and between operators and systems. It not only describes the details of both real-time operating systems and distributed operating systems, but also provides coverage of the microprocessor boot code, which other books lack. In addition to working principles and operation mechanisms, this book emphasizes the practical issues of components, devices and hardware circuits, giving the specification parameters, install procedures, calibration and configuration methodologies needed for engineers to put the theory into practice. Documents all the key technologies of a wide range of industrial control systems Emphasizes practical application and methods alongside theory and principles An ideal reference for practicing engineers needing to further their understanding of the latest industrial control concepts and techniques

Robust Control Systems with Genetic Algorithms

This is due to the fact that many attributes fundamental in any practical industrial control design may be incorporated in GPC and others' model-based predictive control. However, for an appropriate GPC framework, design is necessary to ...

Author: Mo Jamshidi

Publisher: CRC Press

ISBN: 9781420058345

Category: Technology & Engineering

Page: 232

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In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust control systems. After laying a foundation in the basics of GAs and genetic programming, it demonstrates the power of these new tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also explores the application of hybrid approaches: how to enhance genetic algorithms and programming with fuzzy logic to design intelligent control systems. The authors consider a variety of applications, such as the optimal control of robotic manipulators, flexible links and jet engines, and illustrate a multi-objective, genetic algorithm approach to the design of robust controllers with a gasification plant case study. The authors are all masters in the field and clearly show the effectiveness of GA techniques. Their presentation is your first opportunity to fully explore this cutting-edge approach to robust optimal control system design and exploit its methods for your own applications.

Industrial Control Systems Design

Francis , B.A. , 1987 , A course in control theory , Lecture notes in control and information science , Springer - Verlag . Glover , K. and McFarlane , D. , 1989 , Robust stabilization of normalised coprime factor plant descriptions ...

Author: Michael J. Grimble

Publisher: John Wiley & Sons Incorporated

ISBN: STANFORD:36105110238073

Category: Science

Page: 621

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Bridging the gap between research and industry, this volume systematically and comprehensively presents the latest advances in control and estimation. With emphasis on applications, industrial problems illustrate the use of transfer function and state space methods for modelling and design. Combining theroy with practice, Industrial Control Systems Design will appeal to practising engineers and academic researchers in control engineering. This unique reference: * spans fundamental state space and polynomial systems theory and introduces quantitative feedback theory. * Includes design case studies with illustrative problem descriptions and analysis from the steel, marine, process control, aerospace and power generation sectors. * Focuses on the challenges in predictive optimal control, now an indispensable method in advanced control applications. * Provides an introduction to safety-critical control systems design and combined fault monitoring and control techniques. * Discusses the design of LQG and H-controllers with several degrees of freedom, including feedback, tracking and feedforward functions.

Robust Adaptive Control

System. Approach. of. Industrial. Process. Adaptive. Control. Zhixiang ZHU Department of Computer Science and Engineering, Northwestern Polytechnical University, P.R. China Guanzhong DA Department of Computer Science and Engineering, ...

Author: G.C. Goodwin

Publisher: Elsevier

ISBN: 9781483298245

Category: Technology & Engineering

Page: 272

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The workshop brought together international experts in the field of robust adaptive control to present recent developments in the area. These indicated that the theory of adaptive control is moving closer to applications and is beginning to give realistic guidelines useful in practical situations. The proceedings also focused on the value of such practical features as filtering, normalization, deadzones and unification of robust control and adaptation.

Cyber security of SCADA and Other Industrial Control Systems

Aggregated active distribution networks for secondary control of islanded power systems. ... Simulation of digitalized power systems using PMU and intelligent control. ... Industrial wireless: Bluetooth can be robust, easy to use.

Author: Edward J. M. Colbert

Publisher: Springer

ISBN: 9783319321257

Category: Computers

Page: 355

View: 996

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This book provides a comprehensive overview of the fundamental security of Industrial Control Systems (ICSs), including Supervisory Control and Data Acquisition (SCADA) systems and touching on cyber-physical systems in general. Careful attention is given to providing the reader with clear and comprehensive background and reference material for each topic pertinent to ICS security. This book offers answers to such questions as: Which specific operating and security issues may lead to a loss of efficiency and operation? What methods can be used to monitor and protect my system? How can I design my system to reduce threats?This book offers chapters on ICS cyber threats, attacks, metrics, risk, situational awareness, intrusion detection, and security testing, providing an advantageous reference set for current system owners who wish to securely configure and operate their ICSs. This book is appropriate for non-specialists as well. Tutorial information is provided in two initial chapters and in the beginnings of other chapters as needed. The book concludes with advanced topics on ICS governance, responses to attacks on ICS, and future security of the Internet of Things.

Intelligent Components and Instruments for Control Applications 2003 SICICA 2003

Robust Industrial Control : Optimal Approach for Polynomial Systems , Prentice Hall . Holland , J. , ( 1975 ) . Adaptation in natural and artificial systems , The University of Michigan Press , Ann Arbor . Jamshidi , M. , L. dos Santos ...

Author: L. Almeida

Publisher: Elsevier

ISBN: 008044010X

Category: Technology & Engineering

Page: 293

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A Proceedings volume from the IFAC Symposium on Intelligent Components and Instruments for Control Applications, Portugal, 2003. Provides an overview of the theory and applications and presents an exchange of experiences on recent advances in this field.

Robust Control of Linear Systems and Nonlinear Control

Volume 2: Robust Control of Linear Systems and Nonlinear Control M. A. Kaashoek, J. H. van Schuppen, A. C. M. Ran ... of this paper is to present an industrial application of the polynomial approach to multivariable mixed sensitivity Ho ...

Author: M. A. Kaashoek

Publisher: Springer Science & Business Media

ISBN: 0817634703

Category: Juvenile Nonfiction

Page: 655

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This volume is the second of the three volume publication containing the proceedings of the 1989 International Symposium on the Mathemat ical Theory of Networks and Systems (MTNS-89), which was held in Amsterdam, The Netherlands, June 19-23, 1989 The International Symposia MTNS focus attention on problems from system and control theory, circuit theory and signal processing, which, in general, require application of sophisticated mathematical tools, such as from function and operator theory, linear algebra and matrix theory, differential and algebraic geometry. The interaction between advanced mathematical methods and practical engineering problems of circuits, systems and control, which is typical for MTNS, turns out to be most effective and is, as these proceedings show, a continuing source of exciting advances. The second volume contains invited papers and a large selection of other symposium presentations in the vast area of robust and nonlinear control. Modern developments in robust control and H-infinity theory, for finite as well as for infinite dimensional systems, are presented. A large part of the volume is devoted to nonlinear control. Special atten tion is paid to problems in robotics. Also the general theory of nonlinear and infinite dimensional systems is discussed. A couple of papers deal with problems of stochastic control and filterina. vi Preface The titles of the two other volumes are: Realization and Modelling in System Theory (volume 1) and Signal Processing, Scattering and Operator Theory, and Numerical Methods (volume 3).

Model Reference Robust Tuning of PID Controllers

For what matters on a closedloop control system, there are different aspects that need to be considered. ... Model-Reference Robust Tuning of PID Controllers, Advances in Industrial Control, DOI 10.1007/978-3-319-28213-8_3 21 3.1 ...

Author: Victor M. Alfaro

Publisher: Springer

ISBN: 9783319282138

Category: Technology & Engineering

Page: 192

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This book presents a unified methodology for the design of PID controllers that encompasses the wide range of different dynamics to be found in industrial processes. This is extended to provide a coherent way of dealing with the tuning of PID controllers. The particular method at the core of the book is the so-called model-reference robust tuning (MoReRT), developed by the authors. MoReRT constitutes a novel and powerful way of thinking of a robust design and taking into account the usual design trade-offs encountered in any control design problem. The book starts by presenting the different two-degree-of-freedom PID control algorithm variations and their conversion relations as well as the indexes used for performance, robustness and fragility evaluation:the bases of the proposed model. Secondly, the MoReRT design methodology and normalized controlled process models and controllers used in the design are described in order to facilitate the formulation of the different design problems and subsequent derivation of tuning rules. Inlater chapters the application of MoReRT to over-damped, inverse-response, integrating and unstable processes is described. The book ends by presenting three possible extensions of the MoReRT methodology, thereby opening the door to new research developments. In this way, the book serves as a reference and source book for academic researchers who may also consider it as a stimulus for new ideas as well as for industrial practitioners and manufacturers of control systems who will find appropriate advanced solutions to many application problems.

Robust Control Design 2000 ROCOND 2000

Optimal sampled- data control systems. Springer- Verlag, Berlin, Heidelberg, New York, 1995. M.J. Grimble. Robust Industrial Control. Prentice-Hall, UK, 1995. T. Hagiwara and M. Araki. FR-operator approach to the T^-analysis and ...

Author: Vladimír Kuc̆era

Publisher:

ISBN: UOM:39015042245319

Category: Robust control

Page: 782

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Robust Adaptive Control for Fractional Order Systems with Disturbance and Saturation

According to these discussions, the anti-disturbance ability of control systems can be improved by employing the ... applied in the field of industrial control, based on the advantages of simple structure, strong robustness, and so on.

Author: Mou Chen

Publisher: John Wiley & Sons

ISBN: 9781119393313

Category: Technology & Engineering

Page: 256

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A treatise on investigating tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation Robust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation provides the reader with a good understanding on how to achieve tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation. Although some texts have touched upon control of fractional-order systems, the issues of input saturation and disturbances have rarely been considered together. This book offers chapter coverage of fractional calculus and fractional-order systems; fractional-order PID controller and fractional-order disturbance observer; design of fractional-order controllers for nonlinear chaotic systems and some applications; sliding mode control for fractional-order nonlinear systems based on disturbance observer; disturbance observer based neural control for an uncertain fractional-order rotational mechanical system; adaptive neural tracking control for uncertain fractional-order chaotic systems subject to input saturation and disturbance; stabilization control of continuous-time fractional positive systems based on disturbance observer; sliding mode synchronization control for fractional-order chaotic systems with disturbance; and more. Based on the approximation ability of the neural network (NN), the adaptive neural control schemes are reported for uncertain fractional-order nonlinear systems Covers the disturbance estimation techniques that have been developed to alleviate the restriction faced by traditional feedforward control and reject the effect of external disturbances for uncertain fractional-order nonlinear systems By combining the NN with the disturbance observer, the disturbance observer based adaptive neural control schemes have been studied for uncertain fractional-order nonlinear systems with unknown disturbances Considers, together, the issue of input saturation and the disturbance for the control of fractional-order nonlinear systems in the present of system uncertainty, external disturbance, and input saturation Robust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation can be used as a reference for the academic research on fractional-order nonlinear systems or used in Ph.D. study of control theory and engineering.

Fractional Order Motion Controls

In previous chapters of this book, fractional order control systems with robustness on loop gain variations have been ... the increased use of industrial networks, time delay is a severe issue in networked industrial control systems.

Author:

Publisher: John Wiley & Sons

ISBN: 9781118387719

Category: Science

Page: 472

View: 646

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Covering fractional order theory, simulation and experiments,this book explains how fractional order modelling and fractionalorder controller design compares favourably with traditionalvelocity and position control systems. The authors systematicallycompare the two approaches using applied fractional calculus.Stability theory in fractional order controllers design is alsoanalysed. Presents material suitable for a variety of real-worldapplications, including hard disk drives, vehicular controls, robotcontrol and micropositioners in DNA microarray analysis Includes extensive experimental results from both lab benchlevel tests and industrial level, mass-production-readyimplementations Covers detailed derivations and numerical simulations for eachcase Discusses feasible design specifications, ideal for practicingengineers The book also covers key topics including: fractional orderdisturbance cancellation and adaptive learning control studies forexternal disturbances; optimization approaches for nonlinear systemcontrol and design schemes with backlash and friction.Illustrations and experimental validations are included for each ofthe proposed control schemes to enable readers to develop a clearunderstanding of the approaches covered, and move on to apply themin real-world scenarios.

Robust Observer Based Fault Diagnosis for Nonlinear Systems Using MATLAB

Due to the robustness to uncertainties such as system deviation, disturbances, and unknown nonlinearities, sliding-mode ... Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB, Advances in Industrial Control, ...

Author: Jian Zhang

Publisher: Springer

ISBN: 9783319323244

Category: Technology & Engineering

Page: 224

View: 472

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This book introduces several observer-based methods, including: • the sliding-mode observer • the adaptive observer • the unknown-input observer and • the descriptor observer method for the problem of fault detection, isolation and estimation, allowing readers to compare and contrast the different approaches. The authors present basic material on Lyapunov stability theory, H¥ control theory, sliding-mode control theory and linear matrix inequality problems in a self-contained and step-by-step manner. Detailed and rigorous mathematical proofs are provided for all the results developed in the text so that readers can quickly gain a good understanding of the material. MATLAB® and Simulink® codes for all the examples, which can be downloaded from http://extras.springer.com, enable students to follow the methods and illustrative examples easily. The systems used in the examples make the book highly relevant to real-world problems in industrial control engineering and include a seventh-order aircraft model, a single-link flexible joint robot arm and a satellite controller. To help readers quickly find the information they need and to improve readability, the individual chapters are written so as to be semi-independent of each other. Robust Oberserver-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® is of interest to process, aerospace, robotics and control engineers, engineering students and researchers with a control engineering background.

Computer Controlled Systems with Delay

Contr, AC-39(5), 1042–1047 (1994) G.C. Goodwin, M.E. Salgado, Frequency domain sensitivity functions for continuous-time systems under sampled-data control. Automatica 30(8), 1263–1270 (1994) M.J. Grimble, Robust Industrial Control: ...

Author: Efim N. Rosenwasser

Publisher: Springer

ISBN: 9783030150426

Category: Technology & Engineering

Page: 519

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Computer-Controlled Systems with Delay is a systematic study of the problems of analysis and synthesis for multidimensional sampled-data (SD) systems with delay. It is based on the frequency polynomial method, in which the concept of a parametric transfer matrix (PTM) plays a key role. Until now, no alternative general methods have been available to solve the above problems. The text is divided into three parts: background information from the theory of polynomial and rational matrices, helps the reader to acquire the basic understanding necessary to use the main content of the book without addressing additional sources; methods for the mathematical description of multidimensional SD systems with delay, based on the concept of the PTM; and optimization methods for multidimensional SD systems with delay, including H2 and L2 optimization as well as H2 optimization for colored input signals. The monograph is completed by three appendices. An algorithm for constructing the set of pathological sampling periods for a continuous SISO object with delay is provided first. MATLAB®-toolbox algorithms representing methods described in the book and application examples for selected optimization problems are given in the second. A solution to the problem of guaranteeing the required performance in a class of stochastic disturbances for SD systems with delay is considered in the third. Computer-Controlled Systems with Delay is intended for engineers, scientists and teachers working in modern control theory. It will also benefit post-graduate students taking courses in related disciplines. The book continues the description of the authors’ research results on developing methods for SD systems theory which are based on the PTM concept and published in the monographs Computer Controlled Systems and Multivariable Computer-controlled Systems.