Adaptive Control of Systems with Actuator Failures

Adaptive Control of Systems with Actuator Failures

Author: Gang Tao

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 314

ISBN-13: 1447137582

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This book shows readers new ways to compensate for disturbances in control systems prolonging the intervals between time-consuming and/or expensive fault diagnosis procedures, keeping them up to date in the increasingly important field of adaptive control.


Proceedings of 2019 Chinese Intelligent Systems Conference

Proceedings of 2019 Chinese Intelligent Systems Conference

Author: Yingmin Jia

Publisher: Springer Nature

Published: 2019-09-07

Total Pages: 751

ISBN-13: 9813296984

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This book showcases new theoretical findings and techniques in the field of intelligent systems and control. It presents in-depth studies on a number of major topics, including: Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control, Guidance, Navigation and Control of Aerial Vehicles, and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence.


Adaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth Nonlinearities

Adaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth Nonlinearities

Author: Wei Wang

Publisher: CRC Press

Published: 2020-06-30

Total Pages: 274

ISBN-13: 9780367572846

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Adaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth Nonlinearities presents a series of innovative technologies for designing and analyzing adaptive backstepping control systems involving treatment on actuator failures, subsystem interactions, and nonsmooth nonlinearities. Compared with the existing literature, it provides novel solutions by adopting backstepping design tool to a number of hotspots and challenging problems in the area of adaptive control. Section I introduces three different backstepping based adaptive actuator failure compensation methods for solving the problems of relaxing relative degree condition with respect to redundant inputs, guaranteeing transient performance, and tolerating intermittent failures. Section II presents some advances in decentralized adaptive backstepping control of uncertain interconnected systems. It discusses issues including decentralized adaptive stabilization despite the presence of dynamic interactions depending on subsystem inputs and outputs, decentralized adaptive stabilization with backlashlike hysteresis, decentralized adaptive output tracking, decentralized adaptive output tracking with delay and dead-zone input. Finally, the present their recent result on backstepping based distributed adaptive coordinated control of uncertain multi-agent systems. Each chapter provides discussion remarks highlighting new approaches and contributions to emphasize the novelty of the presented design and analysis methods. There are also simulation results in each chapter, sometimes in a comparative manner, to show the effectiveness of these methods. This book enables readers to establish an overall perspective and understanding of typical adaptive accommodation solutions to different issues. It can be used as a reference book or a textbook on advanced adaptive control theory and applications for students with some background in feedback control systems. Researchers and engineers in the field of control theory and applications to electrical engineering, mechanical engineering, aerospace engineering, and others will also benefit from this book. Book jacket.


Control Systems, Robotics and AutomatioN – Volume XVI

Control Systems, Robotics and AutomatioN – Volume XVI

Author: Heinz D. Unbehauen

Publisher: EOLSS Publications

Published: 2009-10-11

Total Pages: 524

ISBN-13: 1848261551

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This Encyclopedia of Control Systems, Robotics, and Automation is a component of the global Encyclopedia of Life Support Systems EOLSS, which is an integrated compendium of twenty one Encyclopedias. This 22-volume set contains 240 chapters, each of size 5000-30000 words, with perspectives, applications and extensive illustrations. It is the only publication of its kind carrying state-of-the-art knowledge in the fields of Control Systems, Robotics, and Automation and is aimed, by virtue of the several applications, at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.


L1 Adaptive Control Theory

L1 Adaptive Control Theory

Author: Naira Hovakimyan

Publisher: SIAM

Published: 2010-09-30

Total Pages: 333

ISBN-13: 0898717043

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Contains results not yet published in technical journals and conference proceedings.


Adaptive Control of Nonsmooth Dynamic Systems

Adaptive Control of Nonsmooth Dynamic Systems

Author: Gang Tao

Publisher: Springer Science & Business Media

Published: 2001-09-26

Total Pages: 430

ISBN-13: 9781852333843

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Many of the non-smooth, non-linear phenomena covered in this well-balanced book are of vital importance in almost any field of engineering. Contributors from all over the world ensure that no one area’s slant on the subjects predominates.


Robust and Adaptive Control

Robust and Adaptive Control

Author: Eugene Lavretsky

Publisher: Springer Science & Business Media

Published: 2012-11-13

Total Pages: 506

ISBN-13: 1447143965

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Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems. The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to a self-contained presentation of the design and analysis of model reference adaptive control (MRAC) for nonlinear uncertain dynamical systems. Recent extensions and modifications to MRAC design are included, as are guidelines for combining robust optimal and MRAC controllers. Features of the text include: · case studies that demonstrate the benefits of robust and adaptive control for piloted, autonomous and experimental aerial platforms; · detailed background material for each chapter to motivate theoretical developments; · realistic examples and simulation data illustrating key features of the methods described; and · problem solutions for instructors and MATLAB® code provided electronically. The theoretical content and practical applications reported address real-life aerospace problems, being based on numerous transitions of control-theoretic results into operational systems and airborne vehicles that are drawn from the authors’ extensive professional experience with The Boeing Company. The systems covered are challenging, often open-loop unstable, with uncertainties in their dynamics, and thus requiring both persistently reliable control and the ability to track commands either from a pilot or a guidance computer. Readers are assumed to have a basic understanding of root locus, Bode diagrams, and Nyquist plots, as well as linear algebra, ordinary differential equations, and the use of state-space methods in analysis and modeling of dynamical systems. Robust and Adaptive Control is intended to methodically teach senior undergraduate and graduate students how to construct stable and predictable control algorithms for realistic industrial applications. Practicing engineers and academic researchers will also find the book of great instructional value.


Adaptive Control Systems

Adaptive Control Systems

Author: Gang Feng

Publisher: Newnes

Published: 1999-06-08

Total Pages: 360

ISBN-13: 9780750639965

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List of contributors; Preface; Adaptive internal model control; An algorithm for robust adaptive control with less prior knowledge; Adaptive variable structure control; Indirect adaptive periodic control; Adaptive stabilization of uncertain discrete-time systems via switching control: the method of localization; Adaptive nonlinear control: passivation and small gain techniques; Active identification for control of discrete-time uncertain nonlinear systems; Optimal adaptive tracking for nonlinear systems; Stable adaptive systems in the presence of nonlinear parametrization; Adaptive inverse for actuator compensation; Stable multi-input multi-output adaptive fuzzy/neural control; Adaptive robust control scheme with an application to PM synchronous motors; Index.