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Design Of Decentralized Adaptive Backstepping Tracking Controllers For Large Scale Uncertain Systems
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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 273 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.
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.
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.
Book Synopsis Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics by : Jing Na
Download or read book Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics written by Jing Na and published by Academic Press. This book was released on 2018-06-12 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamics (e.g., backlash, dead zone, friction, saturation, etc). The authors present recent research results for the modelling and control designs of uncertain systems with nonsmooth dynamics, such as friction, dead-zone, saturation and hysteresis, etc., with particular applications in servo systems. The book is organized into 19 chapters, distributed in five parts concerning the four types of nonsmooth characteristics, namely friction, dead-zone, saturation and hysteresis, respectively. Practical experiments are also included to validate and exemplify the proposed approaches. This valuable resource can help both researchers and practitioners to learn and understand nonlinear adaptive control designs. Academics, engineers and graduate students in the fields of electrical engineering, control systems, mechanical engineering, applied mathematics and computer science can benefit from the book. It can be also used as a reference book on adaptive control for servo systems for students with some background in control engineering. - Explains the latest research outputs on modeling, identification and adaptive control for systems with nonsmooth dynamics - Provides practical application and experimental results for robotic systems, and servo motors
Book Synopsis Decentralized Systems with Design Constraints by : Magdi S. Mahmoud
Download or read book Decentralized Systems with Design Constraints written by Magdi S. Mahmoud and published by Springer Science & Business Media. This book was released on 2011-02-24 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decentralized Control and Filtering provides a rigorous framework for examining the analysis, stability and control of large-scale systems, addressing the difficulties that arise because dimensionality, information structure constraints, parametric uncertainty and time-delays. This monograph serves three purposes: it reviews past methods and results from a contemporary perspective; it examines presents trends and approaches and to provide future possibilities; and it investigates robust, reliable and/or resilient decentralized design methods based on a framework of linear matrix inequalities. As well as providing an overview of large-scale systems theories from the past several decades, the author presents key modern concepts and efficient computational methods. Representative numerical examples, end-of-chapter problems, and typical system applications are included, and theoretical developments and practical applications of large-scale dynamical systems are discussed in depth.
Book Synopsis Proceedings of 2020 Chinese Intelligent Systems Conference by : Yingmin Jia
Download or read book Proceedings of 2020 Chinese Intelligent Systems Conference written by Yingmin Jia and published by Springer Nature. This book was released on 2020-09-23 with total page 864 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on new theoretical results and techniques in the field of intelligent systems and control. It provides in-depth studies on a number of major topics such as 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 Flight 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.
Book Synopsis Robust Control for Nonlinear Time-Delay Systems by : Changchun Hua
Download or read book Robust Control for Nonlinear Time-Delay Systems written by Changchun Hua and published by Springer. This book was released on 2017-06-28 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the latest findings concerning nonlinear control theory and applications. It presents novel work on several kinds of commonly encountered nonlinear time-delay systems, including those whose nonlinear terms satisfy high-order polynomial form or general nonlinear form, those with nonlinear input or a triangular structure, and so on. As such, the book will be of interest to university researchers, R&D engineers and graduate students in the fields of control theory and control engineering who wish to learn about the core principles, methods, algorithms, and applications of nonlinear time-delay systems.
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.
Book Synopsis Proceedings of 2019 Chinese Intelligent Systems Conference by : Yingmin Jia
Download or read book Proceedings of 2019 Chinese Intelligent Systems Conference written by Yingmin Jia and published by Springer Nature. This book was released on 2019-09-07 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Advances in Reconfigurable Mechanisms and Robots I by : Jian S Dai
Download or read book Advances in Reconfigurable Mechanisms and Robots I written by Jian S Dai and published by Springer Science & Business Media. This book was released on 2012-06-13 with total page 849 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Reconfigurable Mechanisms and Robots I provides a selection of key papers presented in The Second ASME/IFToMM International Conference on Reconfigurable Mechanisms and Robots (ReMAR 2012) held on 9th -11th July 2012 in Tianjin, China. This ongoing series of conferences will be covered in this ongoing collection of books. A total of seventy-eight papers are divided into seven parts to cover the topology, kinematics and design of reconfigurable mechanisms with the reconfiguration theory, analysis and synthesis, and present the current research and development in the field of reconfigurable mechanisms including reconfigurable parallel mechanisms. In this aspect, the recent study and development of reconfigurable robots are further presented with the analysis and design and with their control and development. The bio-inspired mechanisms and subsequent reconfiguration are explored in the challenging fields of rehabilitation and minimally invasive surgery. Advances in Reconfigurable Mechanisms and Robots I further extends the study to deployable mechanisms and foldable devices and introduces applications of reconfigurable mechanisms and robots. The rich-content of Advances in Reconfigurable Mechanisms and Robots I brings together new developments in reconfigurable mechanisms and robots and presents a new horizon for future development in the field of reconfigurable mechanisms and robots.
Book Synopsis Advances in Applied Nonlinear Dynamics, Vibration and Control -2021 by : Xingjian Jing
Download or read book Advances in Applied Nonlinear Dynamics, Vibration and Control -2021 written by Xingjian Jing and published by Springer Nature. This book was released on 2021-09-23 with total page 1210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is to provide readers with up-to-date advances in applied and interdisciplinary engineering science and technologies related to nonlinear dynamics, vibration, control, robotics, and their engineering applications, developed in the most recent years. All the contributed chapters come from active scholars in the area, which cover advanced theory & methods, innovative technologies, benchmark experimental validations and engineering practices. Readers would benefit from this state-of-the-art collection of applied nonlinear dynamics, in-depth vibration engineering theory, cutting-edge control methods and technologies, and definitely find stimulating ideas for their on-going R&D work. This book is intended for graduate students, research staff and scholars in academics, and also provides useful hand-up guidance for professional and engineers in practical engineering missions.
Book Synopsis Variable Structure Control of Complex Systems by : Xing-Gang Yan
Download or read book Variable Structure Control of Complex Systems written by Xing-Gang Yan and published by Springer. This book was released on 2016-12-05 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematizes recent research work on variable-structure control. It is self-contained, presenting necessary mathematical preliminaries so that the theoretical developments can be easily understood by a broad readership. The text begins with an introduction to the fundamental ideas of variable-structure control pertinent to their application in complex nonlinear systems. In the core of the book, the authors lay out an approach, suitable for a large class of systems, that deals with system uncertainties with nonlinear bounds. Its treatment of complex systems in which limited measurement information is available makes the results developed convenient to implement. Various case-study applications are described, from aerospace, through power systems to river pollution control with supporting simulations to aid the transition from mathematical theory to engineering practicalities. The book addresses systems with nonlinearities, time delays and interconnections and considers issues such as stabilization, observer design, and fault detection and isolation. It makes extensive use of numerical and practical examples to render its ideas more readily absorbed. Variable-Structure Control of Complex Systems will be of interest to academic researchers studying control theory and its application in nonlinear, time-delayed an modular large-scale systems; the robustness of its approach will also be attractive to control engineers working in industries associate with aerospace, electrical and mechanical engineering.
Book Synopsis Robust Discrete-Time Flight Control of UAV with External Disturbances by : Shuyi Shao
Download or read book Robust Discrete-Time Flight Control of UAV with External Disturbances written by Shuyi Shao and published by Springer Nature. This book was released on 2020-09-26 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book studies selected discrete-time flight control schemes for fixed-wing unmanned aerial vehicle (UAV) systems in the presence of system uncertainties, external disturbances and input saturation. The main contributions of this book for UAV systems are as follows: (i) the proposed integer-order discrete-time control schemes are based on the designed discrete-time disturbance observers (DTDOs) and the neural network (NN); and (ii) the fractional-order discrete-time control schemes are developed by using the fractional-order calculus theory, the NN and the DTDOs. The book offers readers a good understanding of how to establish discrete-time tracking control schemes for fixed-wing UAV systems subject to system uncertainties, external wind disturbances and input saturation. It represents a valuable reference guide for academic research on uncertain UAV systems, and can also support advanced / Ph.D. studies on control theory and engineering.
Book Synopsis Fuzzy Control, Estimation and Diagnosis by : Magdi S. Mahmoud
Download or read book Fuzzy Control, Estimation and Diagnosis written by Magdi S. Mahmoud and published by Springer. This book was released on 2017-06-15 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook explains the principles of fuzzy systems in some depth together with information useful in realizing them within computational processes. The various algorithms and example problem solutions are a well-balanced and pertinent aid for research projects, laboratory work and graduate study. In addition to its worked examples, the book also uses end-of-chapter exercises as an instructional aid. The content of the book is developed and extended from material taught for four years in the author’s classes. The text provides a broad overview of fuzzy control, estimation and fault diagnosis. It ranges over various classes of target system and modes of control and then turns to filtering, stabilization, and fault detection and diagnosis. Applications, simulation tools and an appendix on algebraic inequalities complete a unified approach to the analysis of single and interconnected fuzzy systems. Fuzzy Control, Estimation and Fault Detection is a guide for final-year undergraduate and graduate students of electrical and mechanical engineering, computer science and information technology, and will also be instructive for professionals in the information technology sector.
Book Synopsis Modern Adaptive Fuzzy Control Systems by : Ardashir Mohammadzadeh
Download or read book Modern Adaptive Fuzzy Control Systems written by Ardashir Mohammadzadeh and published by Springer Nature. This book was released on 2022-11-02 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simulations in the MATLAB programming language. Fuzzy systems, especially, type-2 neuro-fuzzy systems, are now used extensively in various engineering fields for different purposes. In plain language, this book aims to practically explain fuzzy sys-tems and different methods of training and optimizing these systems. For this purpose, type-2 neuro-fuzzy systems are first analyzed along with various methods of training and optimizing these systems through implementation in MATLAB. These systems are then em-ployed to design adaptive fuzzy controllers. The authors aim at pre-senting all the well-known optimization methods clearly and code them in the MATLAB language.
Book Synopsis Innovations in Intelligent Machines-5 by : Valentina Emilia Balas
Download or read book Innovations in Intelligent Machines-5 written by Valentina Emilia Balas and published by Springer. This book was released on 2014-05-22 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research monograph presents selected areas of applications in the field of control systems engineering using computational intelligence methodologies. A number of applications and case studies are introduced. These methodologies are increasing used in many applications of our daily lives. Approaches include, fuzzy-neural multi model for decentralized identification, model predictive control based on time dependent recurrent neural network development of cognitive systems, developments in the field of Intelligent Multiple Models based Adaptive Switching Control, designing military training simulators using modelling, simulation, and analysis for operational analyses and training, methods for modelling of systems based on the application of Gaussian processes, computational intelligence techniques for process control and image segmentation technique based on modified particle swarm optimized-fuzzy entropy.
Book Synopsis Advances in Neural Networks- ISNN 2013 by : Chengan Guo
Download or read book Advances in Neural Networks- ISNN 2013 written by Chengan Guo and published by Springer. This book was released on 2013-07-04 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013. The 157 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in following topics: computational neuroscience, cognitive science, neural network models, learning algorithms, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics, bioinformatics and biomedical engineering, brain-like systems and brain-computer interfaces, data mining and knowledge discovery and other applications of neural networks.
