Reliable Control And Filtering Of Linear Systems With Adaptive Mechanisms

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Reliable Control and Filtering of Linear Systems with Adaptive Mechanisms

Guang-Hong Yang,Dan Ye
Reliable Control and Filtering of Linear Systems with Adaptive Mechanisms Book PDF

Author : Guang-Hong Yang,Dan Ye
Publisher : CRC Press
Page : 264 pages
File Size : 53,6 Mb
Release : 2018-09-03
Category : Computers
ISBN : 9781439835234

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Reliable Control and Filtering of Linear Systems with Adaptive Mechanisms by Guang-Hong Yang,Dan Ye Pdf

More and more, the advanced technological systems of today rely on sophisticated control systems designed to assure greater levels of safe operation while optimizing performance. Rather than assuming always perfect conditions, these systems require adaptive approaches capable of coping with inevitable system component faults. Conventional feedback control designs do not offer that capability and can result in unsatisfactory performance or even instability, which is totally unacceptable in complex systems such as aircraft, spacecraft, and nuclear power plants where safety is a paramount concern. Reliable Control and Filtering of Linear Systems with Adaptive Mechanisms presents recent research results that are advancing the field. It shows how adaptive mechanisms can be successfully introduced into the traditional reliable control/filtering, so that, based on the online estimation of eventual faults, the proposed adaptive reliable controller/filter parameters are updated automatically to compensate for any fault effects. Presenting a new method for fault-tolerant control (FTC) in the context of existing research, this uniquely cohesive volume, coauthored by two leading researchers — Focuses on the issues of reliable control/filtering in the framework of indirect adaptive method and LMI techniques Starts from the development and main research methods in FTC to offer a systematic presentation of new methods for adaptive reliable control/filtering of linear systems Explains the principles behind adaptive designs for closed-loop systems in normal operation as well as those that account for both actuator and sensor failures Presents rigorous mathematical analysis of control methods as well as easy-to-implement algorithms Includes practical case studies derived from the aerospace industry including simulation results for the F-16 The authors also extend the design idea from linear systems to linear time-delay systems via both memory and memory-less controllers. Moreover, some more recent results for the corresponding adaptive reliable control against actuator saturation are included. Ultimately, this remarkably practical resource, offers design approaches and guidelines that researchers can readily employ in the design of advanced FTC techniques offering improved reliability, maintainability, and survivability.

Linear Systems

Guang-Hong Yang,Xiang-Gui Guo,Wei-Wei Che,Wei Guan
Linear Systems Book PDF

Author : Guang-Hong Yang,Xiang-Gui Guo,Wei-Wei Che,Wei Guan
Publisher : CRC Press
Page : 294 pages
File Size : 44,5 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781351831819

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Linear Systems by Guang-Hong Yang,Xiang-Gui Guo,Wei-Wei Che,Wei Guan Pdf

Linear Systems: Non-Fragile Control and Filtering presents the latest research results and a systematic approach to designing non-fragile controllers and filters for linear systems. The authors combine the algebraic Riccati technique, the linear matrix inequality (LMI) technique, and the sensitivity analysis method to establish a set of new non-fragile (insensitive) control methods. This proposed method can optimize the closed-loop system performance and make the designed controllers or filters tolerant of coefficient variations in controller or filter gain matrices. A Systematic Approach to Designing Non-Fragile Controllers and Filters for Linear Systems The text begins with developments and main research methods in non-fragile control. It then systematically presents novel methods for non-fragile control and filtering of linear systems with respect to additive/multiplicative controller/filter gain uncertainties. The book introduces the algebraic Riccati equation technique to solve additive/multiplicative norm-bounded controller/filter gain uncertainty, and proposes a structured vertex separator to deal with the numerical problem resulting from interval-bounded coefficient variations. It also explains how to design insensitive controllers and filters in the framework of coefficient sensitivity theory. Throughout, the book includes numerical examples to demonstrate the effectiveness of the proposed design methods. More Effective Design Methods for Non-Fragile Controllers and Filters The design and analysis tools described will help readers to better understand and analyze parameter uncertainties and to design more effective non-fragile controllers and filters. Providing a coherent approach, this book is a valuable reference for researchers, graduate students, and anyone who wants to explore the area of non-fragile control and filtering.

Linear Control System Analysis and Design with MATLAB

Constantine H. Houpis,Stuart N. Sheldon
Linear Control System Analysis and Design with MATLAB Book PDF

Author : Constantine H. Houpis,Stuart N. Sheldon
Publisher : CRC Press
Page : 712 pages
File Size : 45,7 Mb
Release : 2013-10-30
Category : Technology & Engineering
ISBN : 9781466504271

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Linear Control System Analysis and Design with MATLAB by Constantine H. Houpis,Stuart N. Sheldon Pdf

Thoroughly classroom-tested and proven to be a valuable self-study companion, Linear Control System Analysis and Design: Sixth Edition provides an intensive overview of modern control theory and conventional control system design using in-depth explanations, diagrams, calculations, and tables. Keeping mathematics to a minimum, the book is designed

End-to-End Adaptive Congestion Control in TCP/IP Networks

Christos N. Houmkozlis,George A. Rovithakis
End to End Adaptive Congestion Control in TCP IP Networks Book PDF

Author : Christos N. Houmkozlis,George A. Rovithakis
Publisher : CRC Press
Page : 332 pages
File Size : 42,9 Mb
Release : 2017-12-19
Category : Computers
ISBN : 9781439840580

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End-to-End Adaptive Congestion Control in TCP/IP Networks by Christos N. Houmkozlis,George A. Rovithakis Pdf

Establishing adaptive control as an alternative framework to design and analyze Internet congestion controllers, End-to-End Adaptive Congestion Control in TCP/IP Networks employs a rigorously mathematical approach coupled with a lucid writing style to provide extensive background and introductory material on dynamic systems stability and neural network approximation; alongside future internet requests for congestion control architectures. Designed to operate under extreme heterogeneous, dynamic, and time-varying network conditions, the developed controllers must also handle network modeling structural uncertainties and uncontrolled traffic flows acting as external perturbations. The book also presents a parallel examination of specific adaptive congestion control, NNRC, using adaptive control and approximation theory, as well as extensions toward cooperation of NNRC with application QoS control. Features: Uses adaptive control techniques for congestion control in packet switching networks Employs a rigorously mathematical approach with lucid writing style Presents simulation experiments illustrating significant operational aspects of the method; including scalability, dynamic behavior, wireless networks, and fairness Applies to networked applications in the music industry, computers, image trading, and virtual groups by techniques such as peer-to-peer, file sharing, and internet telephony Contains working examples to highlight and clarify key attributes of the congestion control algorithms presented Drawing on the recent research efforts of the authors, the book offers numerous tables and figures to increase clarity and summarize the algorithms that implement various NNRC building blocks. Extensive simulations and comparison tests analyze its behavior and measure its performance through monitoring vital network quality metrics. Divided into three parts, the book offers a review of computer networks and congestion control, presents an adaptive congestion control framework as an alternative to optimization methods, and provides appendices related to dynamic systems through universal neural network approximators.

Optimal and Robust Scheduling for Networked Control Systems

Stefano Longo,Tingli Su,Guido Herrmann,Phil Barber
Optimal and Robust Scheduling for Networked Control Systems Book PDF

Author : Stefano Longo,Tingli Su,Guido Herrmann,Phil Barber
Publisher : CRC Press
Page : 277 pages
File Size : 40,7 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781466569553

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Optimal and Robust Scheduling for Networked Control Systems by Stefano Longo,Tingli Su,Guido Herrmann,Phil Barber Pdf

Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components—controllers, sensors, and actuators—in a networked control system. It is common practice in industry to solve such problems heuristically, because the few theoretical results available are not comprehensive and cannot be readily applied by practitioners. This book offers a solution to the deterministic scheduling problem that is based on rigorous control theoretical tools but also addresses practical implementation issues. Helping to bridge the gap between control theory and computer science, it suggests that the consideration of communication constraints at the design stage will significantly improve the performance of the control system. Technical Results, Design Techniques, and Practical Applications The book brings together well-known measures for robust performance as well as fast stochastic algorithms to assist designers in selecting the best network configuration and guaranteeing the speed of offline optimization. The authors propose a unifying framework for modelling NCSs with time-triggered communication and present technical results. They also introduce design techniques, including for the codesign of a controller and communication sequence and for the robust design of a communication sequence for a given controller. Case studies explore the use of the FlexRay TDMA and time-triggered control area network (CAN) protocols in an automotive control system. Practical Solutions to Your Time-Triggered Communication Problems This unique book develops ready-to-use engineering tools for large-scale control system integration with a focus on robustness and performance. It emphasizes techniques that are directly applicable to time-triggered communication problems in the automotive industry and in avionics, robotics, and automated manufacturing.

Cooperative Control of Multi-Agent Systems

Zhongkui Li,Zhisheng Duan
Cooperative Control of Multi Agent Systems Book PDF

Author : Zhongkui Li,Zhisheng Duan
Publisher : CRC Press
Page : 262 pages
File Size : 46,7 Mb
Release : 2017-12-19
Category : Computers
ISBN : 9781466569973

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Cooperative Control of Multi-Agent Systems by Zhongkui Li,Zhisheng Duan Pdf

Distributed controller design is generally a challenging task, especially for multi-agent systems with complex dynamics, due to the interconnected effect of the agent dynamics, the interaction graph among agents, and the cooperative control laws. Cooperative Control of Multi-Agent Systems: A Consensus Region Approach offers a systematic framework for designing distributed controllers for multi-agent systems with general linear agent dynamics, linear agent dynamics with uncertainties, and Lipschitz nonlinear agent dynamics. Beginning with an introduction to cooperative control and graph theory, this monograph: Explores the consensus control problem for continuous-time and discrete-time linear multi-agent systems Studies the H∞ and H2 consensus problems for linear multi-agent systems subject to external disturbances Designs distributed adaptive consensus protocols for continuous-time linear multi-agent systems Considers the distributed tracking control problem for linear multi-agent systems with a leader of nonzero control input Examines the distributed containment control problem for the case with multiple leaders Covers the robust cooperative control problem for multi-agent systems with linear nominal agent dynamics subject to heterogeneous matching uncertainties Discusses the global consensus problem for Lipschitz nonlinear multi-agent systems Cooperative Control of Multi-Agent Systems: A Consensus Region Approach provides a novel approach to designing distributed cooperative protocols for multi-agent systems with complex dynamics. The proposed consensus region decouples the design of the feedback gain matrices of the cooperative protocols from the communication graph and serves as a measure for the robustness of the protocols to variations of the communication graph. By exploiting the decoupling feature, adaptive cooperative protocols are presented that can be designed and implemented in a fully distributed fashion.

Modeling and Control for Micro/Nano Devices and Systems

Ning Xi,Mingjun Zhang,Guangyong Li
Modeling and Control for Micro Nano Devices and Systems Book PDF

Author : Ning Xi,Mingjun Zhang,Guangyong Li
Publisher : CRC Press
Page : 175 pages
File Size : 46,5 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781466554061

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Modeling and Control for Micro/Nano Devices and Systems by Ning Xi,Mingjun Zhang,Guangyong Li Pdf

Micro/nano-scale engineering—especially the design and implementation of ultra-fast and ultra-scale energy devices, sensors, and cellular and molecular systems—remains a daunting challenge. Modeling and control has played an essential role in many technological breakthroughs throughout the course of history. Therefore, the need for a practical guide to modeling and control for micro/nano-scale devices and systems has emerged. The first edited volume to address this rapidly growing field, Modeling and Control for Micro/Nano Devices and Systems gives control engineers, lab managers, high-tech researchers, and graduate students easy access to the expert contributors’ cutting-edge knowledge of micro/nanotechnology, energy, and bio-systems. The editors offer an integrated view from theory to practice, covering diverse topics ranging from micro/nano-scale sensors to energy devices and control of biology systems in cellular and molecular levels. The book also features numerous case studies for modeling of micro/nano devices and systems, and explains how the models can be used for control and optimization purposes. Readers benefit from learning the latest modeling techniques for micro/nano-scale devices and systems, and then applying those techniques to their own research and development efforts.

Discrete-Time Recurrent Neural Control

Edgar N. Sanchez
Discrete Time Recurrent Neural Control Book PDF

Author : Edgar N. Sanchez
Publisher : CRC Press
Page : 292 pages
File Size : 55,6 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781351377430

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Discrete-Time Recurrent Neural Control by Edgar N. Sanchez Pdf

The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The simulation results that appear in each chapter include rigorous mathematical analyses, based on the Lyapunov approach, to establish its properties. The book contains two sections: the first focuses on the analyses of control techniques; the second is dedicated to illustrating results of real-time applications. It also provides solutions for the output trajectory tracking problem of unknown nonlinear systems based on sliding modes and inverse optimal control scheme. "This book on Discrete-time Recurrent Neural Control is unique in the literature, with new knowledge and information about the new technique of recurrent neural control especially for discrete-time systems. The book is well organized and clearly presented. It will be welcome by a wide range of researchers in science and engineering, especially graduate students and junior researchers who want to learn the new notion of recurrent neural control. I believe it will have a good market. It is an excellent book after all." — Guanrong Chen, City University of Hong Kong "This book includes very relevant topics, about neural control. In these days, Artificial Neural Networks have been recovering their relevance and well-stablished importance, this due to its great capacity to process big amounts of data. Artificial Neural Networks development always is related to technological advancements; therefore, it is not a surprise that now we are being witnesses of this new era in Artificial Neural Networks, however most of the developments in this research area only focuses on applicability of the proposed schemes. However, Edgar N. Sanchez author of this book does not lose focus and include both important applications as well as a deep theoretical analysis of Artificial Neural Networks to control discrete-time nonlinear systems. It is important to remark that first, the considered Artificial Neural Networks are development in discrete-time this simplify its implementation in real-time; secondly, the proposed applications ranging from modelling of unknown discrete-time on linear systems to control electrical machines with an emphasize to renewable energy systems. However, its applications are not limited to these kind of systems, due to their theoretical foundation it can be applicable to a large class of nonlinear systems. All of these is supported by the solid research done by the author." — Alma Y. Alanis, University of Guadalajara, Mexico "This book discusses in detail; how neural networks can be used for optimal as well as robust control design. Design of neural network controllers for real time applications such as induction motors, boost converters, inverted pendulum and doubly fed induction generators has also been carried out which gives the book an edge over other similar titles. This book will be an asset for the novice to the experienced ones." — Rajesh Joseph Abraham, Indian Institute of Space Science & Technology, Thiruvananthapuram, India

Fundamentals in Modeling and Control of Mobile Manipulators

Zhijun Li,Shuzhi Sam Ge
Fundamentals in Modeling and Control of Mobile Manipulators Book PDF

Author : Zhijun Li,Shuzhi Sam Ge
Publisher : CRC Press
Page : 292 pages
File Size : 45,5 Mb
Release : 2016-04-19
Category : Technology & Engineering
ISBN : 9781466580428

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Fundamentals in Modeling and Control of Mobile Manipulators by Zhijun Li,Shuzhi Sam Ge Pdf

Mobile manipulators combine the advantages of mobile platforms and robotic arms, extending their operational range and functionality to large spaces and remote, demanding, and/or dangerous environments. They also bring complexity and difficulty in dynamic modeling and control system design. However, advances in nonlinear system analysis and control

Anti-Disturbance Control for Systems with Multiple Disturbances

Lei Guo,Songyin Cao
Anti Disturbance Control for Systems with Multiple Disturbances Book PDF

Author : Lei Guo,Songyin Cao
Publisher : CRC Press
Page : 332 pages
File Size : 43,7 Mb
Release : 2018-10-08
Category : Technology & Engineering
ISBN : 9781466587472

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Anti-Disturbance Control for Systems with Multiple Disturbances by Lei Guo,Songyin Cao Pdf

Developing the essential theory for architecting and tackling issues faced during complex realistic engineering problems, this volume focuses on enhanced anti-disturbance control and filtering theory and applications. The book specifically addresses the novel disturbance observer based control (DOBC) methodologies for uncertain and nonlinear systems in time domain. It also examines novel anti-disturbance control and filtering with the composite hierarchical architecture to enhance control and filtering for the complex control systems with multiple disturbances. The book provides application examples, including flight control, robotic system, altitude control, and initial alignment to show how to use the theoretical methods in engineering

Tensor Product Model Transformation in Polytopic Model-Based Control

Péter Baranyi,Yeung Yam,Péter Várlaki
Tensor Product Model Transformation in Polytopic Model Based Control Book PDF

Author : Péter Baranyi,Yeung Yam,Péter Várlaki
Publisher : CRC Press
Page : 262 pages
File Size : 48,7 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781439818176

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Tensor Product Model Transformation in Polytopic Model-Based Control by Péter Baranyi,Yeung Yam,Péter Várlaki Pdf

Tensor Product Model Transformation in Polytopic Model-Based Control offers a new perspective of control system design. Instead of relying solely on the formulation of more effective LMIs, which is the widely adopted approach in existing LMI-related studies, this cutting-edge book calls for a systematic modification and reshaping of the polytopic convex hull to achieve enhanced performance. Varying the convexity of the resulting TP canonical form is a key new feature of the approach. The book concentrates on reducing analytical derivations in the design process, echoing the recent paradigm shift on the acceptance of numerical solution as a valid form of output to control system problems. The salient features of the book include: Presents a new HOSVD-based canonical representation for (qLPV) models that enables trade-offs between approximation accuracy and computation complexity Supports a conceptually new control design methodology by proposing TP model transformation that offers a straightforward way of manipulating different types of convexity to appear in polytopic representation Introduces a numerical transformation that has the advantage of readily accommodating models described by non-conventional modeling and identification approaches, such as neural networks and fuzzy rules Presents a number of practical examples to demonstrate the application of the approach to generate control system design for complex (qLPV) systems and multiple control objectives. The authors’ approach is based on an extended version of singular value decomposition applicable to hyperdimensional tensors. Under the approach, trade-offs between approximation accuracy and computation complexity can be performed through the singular values to be retained in the process. The use of LMIs enables the incorporation of multiple performance objectives into the control design problem and assurance of a solution via convex optimization if feasible. Tensor Product Model Transformation in Polytopic Model-Based Control includes examples and incorporates MATLAB® Toolbox TPtool. It provides a reference guide for graduate students, researchers, engineers, and practitioners who are dealing with nonlinear systems control applications.

Networked Control Systems with Intermittent Feedback

Domagoj Tolić,Sandra Hirche
Networked Control Systems with Intermittent Feedback Book PDF

Author : Domagoj Tolić,Sandra Hirche
Publisher : CRC Press
Page : 261 pages
File Size : 44,9 Mb
Release : 2017-03-31
Category : Technology & Engineering
ISBN : 9781498756358

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Networked Control Systems with Intermittent Feedback by Domagoj Tolić,Sandra Hirche Pdf

Networked Control Systems (NCSs) are spatially distributed systems for which the communication between sensors, actuators and controllers is realized by a shared (wired or wireless) communication network. NCSs offer several advantages, such as reduced installation and maintenance costs, as well as greater flexibility, over conventional control systems in which parts of control loops exchange information via dedicated point-to-point connections. The principal goal of this book is to present a coherent and versatile framework applicable to various settings investigated by the authors over the last several years. This framework is applicable to nonlinear time-varying dynamic plants and controllers with delayed dynamics; a large class of static, dynamic, probabilistic and priority-oriented scheduling protocols; delayed, noisy, lossy and intermittent information exchange; decentralized control problems of heterogeneous agents with time-varying directed (not necessarily balanced) communication topologies; state- and output-feedback; off-line and on-line intermittent feedback; optimal intermittent feedback through Approximate Dynamic Programming (ADP) and Reinforcement Learning (RL); and control systems with exogenous disturbances and modeling uncertainties.

Nonlinear Control of Dynamic Networks

Tengfei Liu,Zhong-Ping Jiang,David J. Hill
Nonlinear Control of Dynamic Networks Book PDF

Author : Tengfei Liu,Zhong-Ping Jiang,David J. Hill
Publisher : CRC Press
Page : 347 pages
File Size : 46,9 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781351831703

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Nonlinear Control of Dynamic Networks by Tengfei Liu,Zhong-Ping Jiang,David J. Hill Pdf

Significant progress has been made on nonlinear control systems in the past two decades. However, many of the existing nonlinear control methods cannot be readily used to cope with communication and networking issues without nontrivial modifications. For example, small quantization errors may cause the performance of a "well-designed" nonlinear control system to deteriorate. Motivated by the need for new tools to solve complex problems resulting from smart power grids, biological processes, distributed computing networks, transportation networks, robotic systems, and other cutting-edge control applications, Nonlinear Control of Dynamic Networks tackles newly arising theoretical and real-world challenges for stability analysis and control design, including nonlinearity, dimensionality, uncertainty, and information constraints as well as behaviors stemming from quantization, data-sampling, and impulses. Delivering a systematic review of the nonlinear small-gain theorems, the text: Supplies novel cyclic-small-gain theorems for large-scale nonlinear dynamic networks Offers a cyclic-small-gain framework for nonlinear control with static or dynamic quantization Contains a combination of cyclic-small-gain and set-valued map designs for robust control of nonlinear uncertain systems subject to sensor noise Presents a cyclic-small-gain result in directed graphs and distributed control of nonlinear multi-agent systems with fixed or dynamically changing topology Based on the authors’ recent research, Nonlinear Control of Dynamic Networks provides a unified framework for robust, quantized, and distributed control under information constraints. Suggesting avenues for further exploration, the book encourages readers to take into consideration more communication and networking issues in control designs to better handle the arising challenges.

Doubly Fed Induction Generators

Edgar N. Sanchez,Riemann Ruiz-Cruz
Doubly Fed Induction Generators Book PDF

Author : Edgar N. Sanchez,Riemann Ruiz-Cruz
Publisher : CRC Press
Page : 133 pages
File Size : 54,8 Mb
Release : 2016-08-05
Category : Technology & Engineering
ISBN : 9781315351735

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Doubly Fed Induction Generators by Edgar N. Sanchez,Riemann Ruiz-Cruz Pdf

Doubly Fed Induction Generators: Control for Wind Energy provides a detailed source of information on the modeling and design of controllers for the doubly fed induction generator (DFIG) used in wind energy applications. Focusing on the use of nonlinear control techniques, this book: Discusses the main features and advantages of the DFIG Describes key theoretical fundamentals and the DFIG mathematical model Develops controllers using inverse optimal control, sliding modes, and neural networks Devises an improvement to add robustness in the presence of parametric variations Details the results of real-time implementations All controllers presented in the book are tested in a laboratory prototype. Comparisons between the controllers are made by analyzing statistical measures applied to the control objectives.

Electric and Plug-in Hybrid Vehicle Networks

Emanuele Crisostomi,Robert Shorten,Sonja Stüdli,Fabian Wirth
Electric and Plug in Hybrid Vehicle Networks Book PDF

Author : Emanuele Crisostomi,Robert Shorten,Sonja Stüdli,Fabian Wirth
Publisher : CRC Press
Page : 261 pages
File Size : 53,6 Mb
Release : 2017-10-30
Category : Technology & Engineering
ISBN : 9781498745000

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Electric and Plug-in Hybrid Vehicle Networks by Emanuele Crisostomi,Robert Shorten,Sonja Stüdli,Fabian Wirth Pdf

This book explores the behavior of networks of electric and hybrid vehicles. The topics that are covered include: energy management issues for aggregates of plug-in vehicles; the design of sharing systems to support electro-mobility; context awareness in the operation of electric and hybrid vehicles, and the role that this plays in a Smart City context; and tools to test and design massively large-scale networks of such vehicles. The book also introduces new and interesting control problems that are becoming prevalent in the EV-PHEV's context, as well as identifying some open questions. A particular focus of the book is on the opportunities afforded by networked actuation possibilities in electric and hybrid vehicles, and the role that such actuation may play in air-quality and emissions management.