Design Of Adaptive Block Backstepping Controllers For Uncertain Nonlinear Systems

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Delay Compensation for Nonlinear, Adaptive, and PDE Systems

Author : Miroslav Krstic
Publisher : Springer Science & Business Media
ISBN 13 : 0817648771
Total Pages : 458 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Delay Compensation for Nonlinear, Adaptive, and PDE Systems by : Miroslav Krstic

Download or read book Delay Compensation for Nonlinear, Adaptive, and PDE Systems written by Miroslav Krstic and published by Springer Science & Business Media. This book was released on 2010-01-23 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shedding light on new opportunities in predictor feedback, this book significantly broadens the set of techniques available to a mathematician or engineer working on delay systems. It is a collection of tools and techniques that make predictor feedback ideas applicable to nonlinear systems, systems modeled by PDEs, systems with highly uncertain or completely unknown input/output delays, and systems whose actuator or sensor dynamics are modeled by more general hyperbolic or parabolic PDEs, rather than by pure delay. Replete with examples, Delay Compensation for Nonlinear, Adaptive, and PDE Systems is an excellent reference guide for graduate students, researchers, and professionals in mathematics, systems control, as well as chemical, mechanical, electrical, computer, aerospace, and civil/structural engineering. Parts of the book may be used in graduate courses on general distributed parameter systems, linear delay systems, PDEs, nonlinear control, state estimator and observers, adaptive control, robust control, or linear time-varying systems.

Adaptive Backstepping Control of Uncertain Systems

Author : Jing Zhou
Publisher : Springer Science & Business Media
ISBN 13 : 3540778063
Total Pages : 246 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Adaptive Backstepping Control of Uncertain Systems by : Jing Zhou

Download or read book Adaptive Backstepping Control of Uncertain Systems written by Jing Zhou and published by Springer Science & Business Media. This book was released on 2008-02-07 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

Author : Wei Wang
Publisher : CRC Press
ISBN 13 : 1498776442
Total Pages : 287 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Adaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth Nonlinearities by : Wei Wang

Download or read book Adaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth Nonlinearities written by Wei Wang and published by CRC Press. This book was released on 2017-09-18 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: In practice, actuators often undergo failures and various factors influence its effectiveness. Also due to the increasing complexity of large-scale systems, subsystems are often interconnected, whereas the interactions between any two subsystems are difficult to deal with. This book details a series of new methodologies of designing and analyzing adaptive backstepping control systems involving treatment on actuator failures, subsystem interactions and nonsmooth nonlinearities. Moreover, it discusses some interesting open issues in adaptive failure accommodation, decentralized adaptive control and distributed adaptive coordinated control.

Backstepping Control of Nonlinear Dynamical Systems

Author : Sundarapandian Vaidyanathan
Publisher : Academic Press
ISBN 13 : 0128175834
Total Pages : 542 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Backstepping Control of Nonlinear Dynamical Systems by : Sundarapandian Vaidyanathan

Download or read book Backstepping Control of Nonlinear Dynamical Systems written by Sundarapandian Vaidyanathan and published by Academic Press. This book was released on 2020-08-15 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Backstepping Control of Nonlinear Dynamical Systems addresses both the fundamentals of backstepping control and advances in the field. The latest techniques explored include 'active backstepping control', 'adaptive backstepping control', 'fuzzy backstepping control' and 'adaptive fuzzy backstepping control'. The reference book provides numerous simulations using MATLAB and circuit design. These illustrate the main results of theory and applications of backstepping control of nonlinear control systems. Backstepping control encompasses varied aspects of mechanical engineering and has many different applications within the field. For example, the book covers aspects related to robot manipulators, aircraft flight control systems, power systems, mechanical systems, biological systems and chaotic systems. This multifaceted view of subject areas means that this useful reference resource will be ideal for a large cross section of the mechanical engineering community. - Details the real-world applications of backstepping control - Gives an up-to-date insight into the theory, uses and application of backstepping control - Bridges the gaps for different fields of engineering, including mechanical engineering, aeronautical engineering, electrical engineering, communications engineering, robotics and biomedical instrumentation

Nonlinear Control Design

Author : Riccardo Marino
Publisher :
ISBN 13 : 9780133426359
Total Pages : 396 pages
Book Rating : 4.4/5 (263 download)

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Book Synopsis Nonlinear Control Design by : Riccardo Marino

Download or read book Nonlinear Control Design written by Riccardo Marino and published by . This book was released on 1995-01-01 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Control Design presents a self-contained introduction to nonlinear feedback control design for continuous time, finite-dimensional uncertain systems. It deals with nonlinear systems affected by uncertainties such as unknown constant parameters, time-varying disturbances, and uncertain nonlinearities. Both state feedback and output feedback are addressed. Differential geometric techniques are used to identify classes of nonlinear systems considered and to design feedback algorithms. Adaptive versions of these controls are developed in the presence of unknown parameters while robust versions are designed in the presence of time-varying disturbances. These control algorithms are applied to significant physical control problems from electric motor drives, robotics, aerospace, power systems and are illustrated through worked examples. The text is illustrated throughout with over 100 exercises, more than 75 worked examples and 12 physical examples.

Nonlinear Control Systems Design 1995

Author : A.J. Krener
Publisher : Elsevier
ISBN 13 : 1483296873
Total Pages : 449 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Nonlinear Control Systems Design 1995 by : A.J. Krener

Download or read book Nonlinear Control Systems Design 1995 written by A.J. Krener and published by Elsevier. This book was released on 2016-01-22 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: The series of IFAC Symposia on Nonlinear Control Systems provides the ideal forum for leading researchers and practitioners who work in the field to discuss and evaluate the latest research and developments. This publication contains the papers presented at the 3rd IFAC Symposium in the series which was held in Tahoe City, California, USA.

Adaptive Approximation Based Control

Author : Jay A. Farrell
Publisher : John Wiley & Sons
ISBN 13 : 0471781800
Total Pages : 440 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Adaptive Approximation Based Control by : Jay A. Farrell

Download or read book Adaptive Approximation Based Control written by Jay A. Farrell and published by John Wiley & Sons. This book was released on 2006-04-14 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: A highly accessible and unified approach to the design and analysis of intelligent control systems Adaptive Approximation Based Control is a tool every control designer should have in his or her control toolbox. Mixing approximation theory, parameter estimation, and feedback control, this book presents a unified approach designed to enable readers to apply adaptive approximation based control to existing systems, and, more importantly, to gain enough intuition and understanding to manipulate and combine it with other control tools for applications that have not been encountered before. The authors provide readers with a thought-provoking framework for rigorously considering such questions as: * What properties should the function approximator have? * Are certain families of approximators superior to others? * Can the stability and the convergence of the approximator parameters be guaranteed? * Can control systems be designed to be robust in the face of noise, disturbances, and unmodeled effects? * Can this approach handle significant changes in the dynamics due to such disruptions as system failure? * What types of nonlinear dynamic systems are amenable to this approach? * What are the limitations of adaptive approximation based control? Combining theoretical formulation and design techniques with extensive use of simulation examples, this book is a stimulating text for researchers and graduate students and a valuable resource for practicing engineers.

Nonlinear and Adaptive Control Design

Author : Miroslav Krstic
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 592 pages
Book Rating : 4.3/5 (97 download)

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Book Synopsis Nonlinear and Adaptive Control Design by : Miroslav Krstic

Download or read book Nonlinear and Adaptive Control Design written by Miroslav Krstic and published by Wiley-Interscience. This book was released on 1995-06-14 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using a pedagogical style along with detailed proofs and illustrative examples, this book opens a view to the largely unexplored area of nonlinear systems with uncertainties. The focus is on adaptive nonlinear control results introduced with the new recursive design methodology--adaptive backstepping. Describes basic tools for nonadaptive backstepping design with state and output feedbacks.

Adaptive Backstepping Control of Uncertain Systems

Author : Jing Zhou
Publisher : Springer
ISBN 13 : 3540778071
Total Pages : 246 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Adaptive Backstepping Control of Uncertain Systems by : Jing Zhou

Download or read book Adaptive Backstepping Control of Uncertain Systems written by Jing Zhou and published by Springer. This book was released on 2008-01-08 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Communication and Control for Robotic Systems

Author : Jason Gu
Publisher : Springer Nature
ISBN 13 : 9811617775
Total Pages : 479 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Communication and Control for Robotic Systems by : Jason Gu

Download or read book Communication and Control for Robotic Systems written by Jason Gu and published by Springer Nature. This book was released on 2021-08-02 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of high-quality research articles. The book includes topics specific to the emerging areas of control for robotic systems, wireless communication, and development of embedded systems for robotic applications. The book integrates three important aspects of automation, namely (i) communication, (ii) control, and (iii) embedded design for robotic applications. This book is unique as it provides a unified framework for analysis, design, and deployment of the robotic applications across various engineering and non-engineering disciplines including the three primary aspects mentioned above. Furthermore, the emerging research and development work pertaining to the deployment of intelligent, nonlinear, and embedded control for robotic system for non-standard operating environment due to the widespread application of robotics technology for societal benefit is also a focal point of the book.

Decentralized Neural Control: Application to Robotics

Author : Ramon Garcia-Hernandez
Publisher : Springer
ISBN 13 : 3319533126
Total Pages : 121 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Decentralized Neural Control: Application to Robotics by : Ramon Garcia-Hernandez

Download or read book Decentralized Neural Control: Application to Robotics written by Ramon Garcia-Hernandez and published by Springer. This book was released on 2017-02-05 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a decentralized approach for the identification and control of robotics systems. It also presents recent research in decentralized neural control and includes applications to robotics. Decentralized control is free from difficulties due to complexity in design, debugging, data gathering and storage requirements, making it preferable for interconnected systems. Furthermore, as opposed to the centralized approach, it can be implemented with parallel processors. This approach deals with four decentralized control schemes, which are able to identify the robot dynamics. The training of each neural network is performed on-line using an extended Kalman filter (EKF). The first indirect decentralized control scheme applies the discrete-time block control approach, to formulate a nonlinear sliding manifold. The second direct decentralized neural control scheme is based on the backstepping technique, approximated by a high order neural network. The third control scheme applies a decentralized neural inverse optimal control for stabilization. The fourth decentralized neural inverse optimal control is designed for trajectory tracking. This comprehensive work on decentralized control of robot manipulators and mobile robots is intended for professors, students and professionals wanting to understand and apply advanced knowledge in their field of work.

Applied Nonlinear Control

Author : Jean-Jacques E. Slotine
Publisher :
ISBN 13 : 9780130400499
Total Pages : 461 pages
Book Rating : 4.4/5 (4 download)

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Book Synopsis Applied Nonlinear Control by : Jean-Jacques E. Slotine

Download or read book Applied Nonlinear Control written by Jean-Jacques E. Slotine and published by . This book was released on 1991 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work, the authors present a global perspective on the methods available for analysis and design of non-linear control systems and detail specific applications. They provide a tutorial exposition of the major non-linear systems analysis techniques followed by a discussion of available non-linear design methods.

Dynamic Surface Control of Uncertain Nonlinear Systems

Author : Bongsob Song
Publisher : Springer Science & Business Media
ISBN 13 : 0857296329
Total Pages : 257 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Dynamic Surface Control of Uncertain Nonlinear Systems by : Bongsob Song

Download or read book Dynamic Surface Control of Uncertain Nonlinear Systems written by Bongsob Song and published by Springer Science & Business Media. This book was released on 2011-05-16 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the problem of nonlinear controller design is as old as that of linear controller design, the systematic design methods framed in response are more sparse. Given the range and complexity of nonlinear systems, effective new methods of control design are therefore of significant importance. Dynamic Surface Control of Uncertain Nonlinear Systems provides a theoretically rigorous and practical introduction to nonlinear control design. The convex optimization approach applied to good effect in linear systems is extended to the nonlinear case using the new dynamic surface control (DSC) algorithm developed by the authors. A variety of problems – DSC design, output feedback, input saturation and fault-tolerant control among them – are considered. The inclusion of applications material demonstrates the real significance of the DSC algorithm, which is robust and easy to use, for nonlinear systems with uncertainty in automotive and robotics. Written for the researcher and graduate student of nonlinear control theory, this book will provide the applied mathematician and engineer alike with a set of powerful tools for nonlinear control design. It will also be of interest to practitioners working with a mechatronic systems in aerospace, manufacturing and automotive and robotics, milieux.

Stable Adaptive Neural Network Control

Author : S.S. Ge
Publisher : Springer Science & Business Media
ISBN 13 : 1475765770
Total Pages : 296 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Stable Adaptive Neural Network Control by : S.S. Ge

Download or read book Stable Adaptive Neural Network Control written by S.S. Ge and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a rapid development of neural network control tech niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings. In spite of these remarkable advances in neural control field, due to the complexity of nonlinear systems, the present research on adaptive neural control is still focused on the development of fundamental methodologies. From a theoretical viewpoint, there is, in general, lack of a firmly mathematical basis in stability, robustness, and performance analysis of neural network adaptive control systems. This book is motivated by the need for systematic design approaches for stable adaptive control using approximation-based techniques. The main objec tives of the book are to develop stable adaptive neural control strategies, and to perform transient performance analysis of the resulted neural control systems analytically. Other linear-in-the-parameter function approximators can replace the linear-in-the-parameter neural networks in the controllers presented in the book without any difficulty, which include polynomials, splines, fuzzy systems, wavelet networks, among others. Stability is one of the most important issues being concerned if an adaptive neural network controller is to be used in practical applications.

Intelligent Backstepping Control for the Alternating-Current Drive Systems

Author : Jinpeng Yu
Publisher : Springer Nature
ISBN 13 : 3030677230
Total Pages : 221 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Intelligent Backstepping Control for the Alternating-Current Drive Systems by : Jinpeng Yu

Download or read book Intelligent Backstepping Control for the Alternating-Current Drive Systems written by Jinpeng Yu and published by Springer Nature. This book was released on 2021-02-13 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the intelligent control design for both the induction motor (IM) and the permanent magnet synchronous motor (PMSM). Compared with traditional control schemes, such as the field-oriented control (FOC) and the direct torque control (DTC), the intelligent controllers designed in this book could overcome the influence of parameter uncertainty and load torque disturbance. This book is a research monograph, which provides valuable reference material for researchers who wish to explore the area of AC motor. In addition, the main contents of the book are also suitable for a one-semester graduate course.

Adaptive Control Systems

Author : Gang Feng
Publisher : Newnes
ISBN 13 : 9780750639965
Total Pages : 360 pages
Book Rating : 4.6/5 (399 download)

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Book Synopsis Adaptive Control Systems by : Gang Feng

Download or read book Adaptive Control Systems written by Gang Feng and published by Newnes. This book was released on 1999-06-08 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Neural Networks - ISNN 2004

Author : Fuliang Yin
Publisher : Springer
ISBN 13 : 3540286489
Total Pages : 1054 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Advances in Neural Networks - ISNN 2004 by : Fuliang Yin

Download or read book Advances in Neural Networks - ISNN 2004 written by Fuliang Yin and published by Springer. This book was released on 2011-04-07 with total page 1054 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the International Symposium on Neural N- works (ISNN 2004) held in Dalian, Liaoning, China duringAugust 19–21, 2004. ISNN 2004 received over 800 submissions from authors in ?ve continents (Asia, Europe, North America, South America, and Oceania), and 23 countries and regions (mainland China, Hong Kong, Taiwan, South Korea, Japan, Singapore, India, Iran, Israel, Turkey, Hungary, Poland, Germany, France, Belgium, Spain, UK, USA, Canada, Mexico, - nezuela, Chile, andAustralia). Based on reviews, the Program Committee selected 329 high-quality papers for presentation at ISNN 2004 and publication in the proceedings. The papers are organized into many topical sections under 11 major categories (theo- tical analysis; learning and optimization; support vector machines; blind source sepa- tion,independentcomponentanalysis,andprincipalcomponentanalysis;clusteringand classi?cation; robotics and control; telecommunications; signal, image and time series processing; detection, diagnostics, and computer security; biomedical applications; and other applications) covering the whole spectrum of the recent neural network research and development. In addition to the numerous contributed papers, ?ve distinguished scholars were invited to give plenary speeches at ISNN 2004. ISNN 2004 was an inaugural event. It brought together a few hundred researchers, educators,scientists,andpractitionerstothebeautifulcoastalcityDalianinnortheastern China. It provided an international forum for the participants to present new results, to discuss the state of the art, and to exchange information on emerging areas and future trends of neural network research. It also created a nice opportunity for the participants to meet colleagues and make friends who share similar research interests.