Adaptive Backstepping Control Of A Class Of 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 : 1351650890
Total Pages : 273 pages
Book Rating : 4.3/5 (516 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 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.

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.

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.

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781665446716
Total Pages : pages
Book Rating : 4.4/5 (467 download)

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Book Synopsis 2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) by : IEEE Staff

Download or read book 2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) written by IEEE Staff and published by . This book was released on 2021-08 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence, Control and Systems, Cyber physical Systems, Energy and Environment, Industrial Informatics and Computational Intelligence, Robotics, Network and Communication Technologies, Power Electronics, Signal and Information Processing

Robust Adaptive Dynamic Programming

Author : Yu Jiang
Publisher : John Wiley & Sons
ISBN 13 : 1119132657
Total Pages : 220 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Robust Adaptive Dynamic Programming by : Yu Jiang

Download or read book Robust Adaptive Dynamic Programming written by Yu Jiang and published by John Wiley & Sons. This book was released on 2017-04-13 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive look at state-of-the-art ADP theory and real-world applications This book fills a gap in the literature by providing a theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control to address data-driven optimal control design challenges arising from both parametric and dynamic uncertainties. Traditional model-based approaches leave much to be desired when addressing the challenges posed by the ever-increasing complexity of real-world engineering systems. An alternative which has received much interest in recent years are biologically-inspired approaches, primarily RADP. Despite their growing popularity worldwide, until now books on ADP have focused nearly exclusively on analysis and design, with scant consideration given to how it can be applied to address robustness issues, a new challenge arising from dynamic uncertainties encountered in common engineering problems. Robust Adaptive Dynamic Programming zeros in on the practical concerns of engineers. The authors develop RADP theory from linear systems to partially-linear, large-scale, and completely nonlinear systems. They provide in-depth coverage of state-of-the-art applications in power systems, supplemented with numerous real-world examples implemented in MATLAB. They also explore fascinating reverse engineering topics, such how ADP theory can be applied to the study of the human brain and cognition. In addition, the book: Covers the latest developments in RADP theory and applications for solving a range of systems’ complexity problems Explores multiple real-world implementations in power systems with illustrative examples backed up by reusable MATLAB code and Simulink block sets Provides an overview of nonlinear control, machine learning, and dynamic control Features discussions of novel applications for RADP theory, including an entire chapter on how it can be used as a computational mechanism of human movement control Robust Adaptive Dynamic Programming is both a valuable working resource and an intriguing exploration of contemporary ADP theory and applications for practicing engineers and advanced students in systems theory, control engineering, computer science, and applied mathematics.

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

Disturbance Observer-Based Control

Author : Shihua Li
Publisher : CRC Press
ISBN 13 : 1466515805
Total Pages : 342 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Disturbance Observer-Based Control by : Shihua Li

Download or read book Disturbance Observer-Based Control written by Shihua Li and published by CRC Press. This book was released on 2016-04-19 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to its abilities to compensate disturbances and uncertainties, disturbance observer based control (DOBC) is regarded as one of the most promising approaches for disturbance-attenuation. One of the first books on DOBC, Disturbance Observer Based Control: Methods and Applications presents novel theory results as well as best practices for applica

Control of Nonlinear Systems

Author : Yongduan Song
Publisher : CRC Press
ISBN 13 : 1040098770
Total Pages : 683 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Control of Nonlinear Systems by : Yongduan Song

Download or read book Control of Nonlinear Systems written by Yongduan Song and published by CRC Press. This book was released on 2024-08-14 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book Control of Nonlinear Systems–Stability and Performance fills a crucial gap in the field of nonlinear control systems by providing a comprehensive yet accessible treatment of the subject. Unlike many existing texts that are either too complex for beginners or omit essential topics, this book strikes the right balance of mathematical rigor and practicality. The main objective of the book is to simplify and unify the existing techniques for designing and analyzing control systems for nonlinear systems. It aims to alleviate confusion and difficulty in understanding these methods, making it an invaluable resource for students, researchers, and practitioners in the field. By presenting the material in a tutorial manner, the book enhances the reader's understanding of the design and analysis of a wide range of control methods for nonlinear systems. The emphasis on stability and performance highlights the practical relevance of the concepts discussed in the book. Overall, Control of Nonlinear Systems–Stability and Performance is a valuable contribution to the field of nonlinear control systems. Its emphasis on practical applications and its accessible presentation make it an indispensable resource for engineers seeking to enhance their knowledge and skills in this important area of control theory.

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.

Proceedings of the 4th International Conference on Electrical Engineering and Control Applications

Author : Sofiane Bououden
Publisher : Springer Nature
ISBN 13 : 9811564035
Total Pages : 1257 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Proceedings of the 4th International Conference on Electrical Engineering and Control Applications by : Sofiane Bououden

Download or read book Proceedings of the 4th International Conference on Electrical Engineering and Control Applications written by Sofiane Bououden and published by Springer Nature. This book was released on 2020-09-29 with total page 1257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers presented during the 4th International Conference on Electrical Engineering and Control Applications. It covers new control system models, troubleshooting tips and complex system requirements, such as increased speed, precision and remote capabilities. Additionally, the papers discuss not only the engineering aspects of signal processing and various practical issues in the broad field of information transmission, but also novel technologies for communication networks and modern antenna design. This book is intended for researchers, engineers and advanced postgraduate students in the fields of control and electrical engineering, computer science and signal processing, as well as mechanical and chemical engineering.

Adaptive Neural Network Control Of Robotic Manipulators

Author : Sam Shuzhi Ge
Publisher : World Scientific
ISBN 13 : 9814496227
Total Pages : 397 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Adaptive Neural Network Control Of Robotic Manipulators by : Sam Shuzhi Ge

Download or read book Adaptive Neural Network Control Of Robotic Manipulators written by Sam Shuzhi Ge and published by World Scientific. This book was released on 1998-12-04 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, there has been considerable research interest in neural network control of robots, and satisfactory results have been obtained in solving some of the special issues associated with the problems of robot control in an “on-and-off” fashion. This book is dedicated to issues on adaptive control of robots based on neural networks. The text has been carefully tailored to (i) give a comprehensive study of robot dynamics, (ii) present structured network models for robots, and (iii) provide systematic approaches for neural network based adaptive controller design for rigid robots, flexible joint robots, and robots in constraint motion. Rigorous proof of the stability properties of adaptive neural network controllers is provided. Simulation examples are also presented to verify the effectiveness of the controllers, and practical implementation issues associated with the controllers are also discussed.

Adaptive Control of Dynamic Systems with Uncertainty and Quantization

Author : Jing Zhou
Publisher : CRC Press
ISBN 13 : 1000487768
Total Pages : 250 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Adaptive Control of Dynamic Systems with Uncertainty and Quantization by : Jing Zhou

Download or read book Adaptive Control of Dynamic Systems with Uncertainty and Quantization written by Jing Zhou and published by CRC Press. This book was released on 2021-12-14 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a series of innovative technologies and research results on adaptive control of dynamic systems with quantization, uncertainty, and nonlinearity, including the theoretical success and practical development such as the approaches for stability analysis, the compensation of quantization, the treatment of subsystem interactions, and the improvement of system tracking and transient performance. Novel solutions by adopting backstepping design tools to a number of hotspots and challenging problems in the area of adaptive control are provided. In the first three chapters, the general design procedures and stability analysis of backstepping controllers and the basic descriptions and properties of quantizers are introduced as preliminary knowledge for this book. In the remainder of this book, adaptive control schemes are introduced to compensate for the effects of input quantization, state quantization, both input and state/output quantization for uncertain nonlinear systems and are applied to helicopter systems and DC Microgrid. Discussion remarks are provided in each chapter highlighting new approaches and contributions to emphasize the novelty of the presented design and analysis methods. Simulation results are also given in each chapter to show the effectiveness of these methods. This book is helpful to learn and understand the fundamental backstepping schemes for state feedback control and output feedback control. It can be used as a reference book or a textbook on adaptive quantized control for students with some background in feedback control systems. Researchers, graduate students, and engineers in the fields of control, information, and communication, electrical engineering, mechanical engineering, computer science, and others will benefit from this book.

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.

Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799804151
Total Pages : 1707 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2019-10-11 with total page 1707 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in various real-world applications such as computer vision, image processing, and pattern recognition. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications is a vital reference source that trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. It also explores the latest concepts, algorithms, and techniques of deep learning and data mining and analysis. Highlighting a range of topics such as natural language processing, predictive analytics, and deep neural networks, this multi-volume book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of deep learning.

Neural Information Processing

Author : Derong Liu
Publisher : Springer
ISBN 13 : 3319701363
Total Pages : 928 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Neural Information Processing by : Derong Liu

Download or read book Neural Information Processing written by Derong Liu and published by Springer. This book was released on 2017-11-07 with total page 928 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.