Control of Uncertain Systems: Modelling, Approximation, and Design
Control of Uncertain Systems: Modelling, Approximation, and Design

Author: Bruce A. Francis

Publisher: Taylor & Francis

Published: 2006-03-07

Total Pages: 452

ISBN-13: 9783540317548

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This Festschrift contains a collection of articles by friends, co-authors, colleagues, and former Ph.D. students of Keith Glover, Professor of Engineering at the University of Cambridge, on the occasion of his sixtieth birthday. Professor Glover's scientific work spans a wide variety of topics, the main themes being system identification, model reduction and approximation, robust controller synthesis, and control of aircraft and engines. The articles in this volume are a tribute to Professor Glover's seminal work in these areas.

Adaptive Backstepping Control of Uncertain Systems
Adaptive Backstepping Control of Uncertain Systems

Author: Jing Zhou

Publisher: Springer Science & Business Media

Published: 2008-02-07

Total Pages: 246

ISBN-13: 3540778063

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This book employs the powerful and popular adaptive backstepping control technology to design controllers for dynamic uncertain systems with non-smooth nonlinearities. Various cases including systems with time-varying parameters, multi-inputs and multi-outputs, backlash, dead-zone, hysteresis and saturation are considered in design and analysis. For multi-inputs and multi-outputs systems, both centralized and decentralized controls are addressed. This book not only presents recent research results including theoretical success and practical development such as the proof of system stability and the improvement of system tracking and transient performance, but also gives self-contained coverage of fundamentals on the backstepping approach illustrated with simple examples. Detail description of methodologies for the construction of adaptive laws, feedback control laws and associated Lyapunov functions is systematically provided in each case. Approaches used for the analysis of system stability and tracking and transient performances are elaborated. Two case studies are presented to show how the presented theories are applied.

Mathematical Methods for Robust and Nonlinear Control
Mathematical Methods for Robust and Nonlinear Control

Author: Matthew C. Turner

Publisher: Springer Science & Business Media

Published: 2007-10-23

Total Pages: 444

ISBN-13: 1848000251

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The underlying theory on which much modern robust and nonlinear control is based can be difficult to grasp. This volume is a collection of lecture notes presented by experts in advanced control engineering. The book is designed to provide a better grounding in the theory underlying several important areas of control. It is hoped the book will help the reader to apply otherwise abstruse ideas of nonlinear control in a variety of real systems.

Event-Triggered Transmission Protocol in Robust Control Systems
Event-Triggered Transmission Protocol in Robust Control Systems

Author: Niladri Sekhar Tripathy

Publisher: CRC Press

Published: 2022-07-18

Total Pages: 157

ISBN-13: 1000610616

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Controlling uncertain networked control system (NCS) with limited communication among subcomponents is a challenging task and event-based sampling helps resolve the issue. This book considers event-triggered scheme as a transmission protocol to negotiate information exchange in resilient control for NCS via a robust control algorithm to regulate the closed loop behavior of NCS in the presence of mismatched uncertainty with limited feedback information. It includes robust control algorithm for linear and nonlinear systems with verification. Features: Describes optimal control based robust control law for event-triggered systems. States results in terms of Theorems and Lemmas supported with detailed proofs. Presents the combination of network interconnected systems and robust control strategy. Includes algorithmic steps for precise understanding of the control technique. Covers detailed problem statement and proposed solutions along with numerical examples. This book aims at Senior undergraduate, Graduate students, and Researchers in Control Engineering, Robotics and Signal Processing.

Dynamic Systems
Dynamic Systems

Author: Craig A. Kluever

Publisher: John Wiley & Sons

Published: 2015-04-06

Total Pages: 496

ISBN-13: 1118289455

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Craig Kluever ‘s Dynamic Systems: Modeling, Simulation, and Control highlights essential topics such as analysis, design, and control of physical engineering systems, often composed of interacting mechanical, electrical and fluid subsystem components. The major topics covered in this text include mathematical modeling, system-response analysis, and an introduction to feedback control systems. Dynamic Systems integrates an early introduction to numerical simulation using MATLAB®’s Simulink for integrated systems. Simulink® and MATLAB® tutorials for both software programs will also be provided. The author’s text also has a strong emphasis on real-world case studies.

Uncertain Models and Robust Control
Uncertain Models and Robust Control

Author: Alexander Weinmann

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 699

ISBN-13: 3709167116

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This coherent introduction to the theory and methods of robust control system design clarifies and unifies the presentation of significant derivations and proofs. The book contains a thorough treatment of important material of uncertainties and robust control otherwise scattered throughout the literature.

Structured Controllers for Uncertain Systems
Structured Controllers for Uncertain Systems

Author: Rosario Toscano

Publisher: Springer Science & Business Media

Published: 2013-05-29

Total Pages: 316

ISBN-13: 1447151887

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Structured Controllers for Uncertain Systems focuses on the development of easy-to-use design strategies for robust low-order or fixed-structure controllers (particularly the industrially ubiquitous PID controller). These strategies are based on a recently-developed stochastic optimization method termed the "Heuristic Kalman Algorithm" (HKA) the use of which results in a simplified methodology that enables the solution of the structured control problem without a profusion of user-defined parameters. An overview of the main stochastic methods employable in the context of continuous non-convex optimization problems is also provided and various optimization criteria for the design of a structured controller are considered; H ∞, H2, and mixed H2/H∞ each merits a chapter to itself. Time-domain-performance specifications can be easily incorporated in the design.

Control Systems Theory and Applications for Linear Repetitive Processes
Control Systems Theory and Applications for Linear Repetitive Processes

Author: Eric Rogers

Publisher: Springer Science & Business Media

Published: 2007-07-11

Total Pages: 477

ISBN-13: 3540715371

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After motivating examples, this monograph gives substantial new results on the analysis and control of linear repetitive processes. These include further applications of the abstract model based stability theory which, in particular, shows the critical importance to the dynamics developed of the structure of the initial conditions at the start of each new pass, the development of stability tests and performance bounds in terms of so-called 1D and 2D Lyapunov equations. It presents the development of a major bank of results on the structure and design of control laws, including the case when there is uncertainty in the process model description, together with numerically reliable computational algorithms. Finally, the application of some of these results in the area of iterative learning control is treated --- including experimental results from a chain conveyor system and a gantry robot system.

Soft-Computing-Based Nonlinear Control Systems Design
Soft-Computing-Based Nonlinear Control Systems Design

Author: Singh, Uday Pratap

Publisher: IGI Global

Published: 2018-02-09

Total Pages: 409

ISBN-13: 1522535322

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A critical part of ensuring that systems are advancing alongside technology without complications is problem solving. Practical applications of problem-solving theories can model conflict and cooperation and aid in creating solutions to real-world problems. Soft-Computing-Based Nonlinear Control Systems Design is a critical scholarly publication that examines the practical applications of control theory and its applications in problem solving to fields including economics, environmental management, and financial modelling. Featuring a wide range of topics, such as fuzzy logic, nature-inspired algorithms, and cloud computing, this book is geared toward academicians, researchers, and students seeking relevant research on control theory and its practical applications.

Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems
Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

Author: Xiaojie Su

Publisher: Springer Nature

Published: 2021-08-17

Total Pages: 322

ISBN-13: 3030812146

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This book aims to introduce the state-of-the-art research of stability/performance analysis and optimal synthesis methods for fuzzy-model-based systems. A series of problems are solved with new approaches of design, analysis and synthesis of fuzzy systems, including stabilization control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some efficient techniques, such as Lyapunov stability theory, linear matrix inequality, reciprocally convex approach, and cone complementary linearization method, are utilized in the approaches. This book is a comprehensive reference for researchers and practitioners working on intelligent control, model reduction, and fault detection of fuzzy systems, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts and methodologies with theoretical and practical significance in system analysis and control synthesis.