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Adaptive Identification And Control Of Uncertain Systems With Non Smooth Dynamics

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Adaptive Identification and Control of Uncertain Systems with Non smooth Dynamics

Adaptive Identification and Control of Uncertain Systems with Non smooth Dynamics Book
Author : Jing Na,Qiang Chen,Xuemei Ren
Publisher : Academic Press
Release : 2018-06-12
ISBN : 0128136847
Language : En, Es, Fr & De

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Book Description :

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

Adaptive Identification and Control of Uncertain Systems with Non Smooth Dynamics

Adaptive Identification and Control of Uncertain Systems with Non Smooth Dynamics Book
Author : Jing Na,Qiang Chen,Xuemei Ren
Publisher : Academic Press
Release : 2018-06
ISBN : 9780128136836
Language : En, Es, Fr & De

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Book Description :

Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics reports on the latest research outputs on the modeling, identification and adaptive control of systems with non-smooth dynamics (e.g. backlash, dead zone, friction, saturation, etc.). The book consists of two parts, with Part One discussing several new models that represent non-smooth dynamics embedded in systems and their associated modeling and identification (parameter estimation) methodologies. Part Two of the book proposes advanced control designs for uncertain systems, where previously derived models are incorporated into the control synthesis. Practical experiments are also included in this book to validate and exemplify the proposed approaches. Thus, this book also provides references for potential readers/users for use with their ad hoc applications. Reports the latest research outputs on the modeling, identification and adaptive control for systems with nonsmooth dynamics Provides practical application and experimental results for robotic systems and servo motors

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 Book
Author : Wei Wang,Changyun Wen,Jing Zhou
Publisher : CRC Press
Release : 2017-09-18
ISBN : 1351650890
Language : En, Es, Fr & De

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Book Description :

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.

XIV International Scientific Conference INTERAGROMASH 2021

XIV International Scientific Conference    INTERAGROMASH 2021  Book
Author : Alexey Beskopylny,Mark Shamtsyan
Publisher : Springer Nature
Release : 2021-12-01
ISBN : 3030816192
Language : En, Es, Fr & De

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Book Description :

This book contains original and fundamental research papers in the following areas: engineering technologies for precision agriculture, agricultural systems management and digitalization in agriculture, logistics in agriculture, and other topics. Selected materials of the largest regional scientific event—INTERAGROMASH 2021 conference–included in this book present the results of the latest research in the areas of precision agriculture and agricultural machinery industry. The book is aimed for professionals and practitioners, for researchers, scholars, and producers. The materials presented here are used in the educational process at specific agricultural universities or during vocational training at enterprises and become an indispensable helper to farm managers in making the best agronomic decisions. The book is also useful for representatives of regional authorities, as it gives an idea of existing high-tech solutions for agriculture.

Adaptive Backstepping Control of Uncertain Systems

Adaptive Backstepping Control of Uncertain Systems Book
Author : Jing Zhou,Changyun Wen
Publisher : Springer
Release : 2008-01-08
ISBN : 3540778071
Language : En, Es, Fr & De

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Book Description :

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 Control of Nonsmooth Dynamic Systems

Adaptive Control of Nonsmooth Dynamic Systems Book
Author : Gang Tao,Frank L. Lewis
Publisher : Springer Science & Business Media
Release : 2001-09-26
ISBN : 9781852333843
Language : En, Es, Fr & De

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Book Description :

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.

Adaptive Control of Nonsmooth Dynamic Systems

Adaptive Control of Nonsmooth Dynamic Systems Book
Author : Gang Tao,Frank L. Lewis
Publisher : Springer Science & Business Media
Release : 2013-04-17
ISBN : 144713687X
Language : En, Es, Fr & De

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Book Description :

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.

Wearable Robotics

Wearable Robotics Book
Author : Jacob Rosen
Publisher : Academic Press
Release : 2019-11-16
ISBN : 0128146605
Language : En, Es, Fr & De

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Book Description :

Wearable Robotics: Systems and Applications provides a comprehensive overview of the entire field of wearable robotics, including active orthotics (exoskeleton) and active prosthetics for the upper and lower limb and full body. In its two major sections, wearable robotics systems are described from both engineering perspectives and their application in medicine and industry. Systems and applications at various levels of the development cycle are presented, including those that are still under active research and development, systems that are under preliminary or full clinical trials, and those in commercialized products. This book is a great resource for anyone working in this field, including researchers, industry professionals and those who want to use it as a teaching mechanism. Provides a comprehensive overview of the entire field, with both engineering and medical perspectives Helps readers quickly and efficiently design and develop wearable robotics for healthcare applications

Adaptive Control Design and Analysis

Adaptive Control Design and Analysis Book
Author : Gang Tao
Publisher : John Wiley & Sons
Release : 2003-07-09
ISBN : 9780471274520
Language : En, Es, Fr & De

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Book Description :

A systematic and unified presentation of the fundamentals of adaptive control theory in both continuous time and discrete time Today, adaptive control theory has grown to be a rigorous and mature discipline. As the advantages of adaptive systems for developing advanced applications grow apparent, adaptive control is becoming more popular in many fields of engineering and science. Using a simple, balanced, and harmonious style, this book provides a convenient introduction to the subject and improves one's understanding of adaptive control theory. Adaptive Control Design and Analysis features: Introduction to systems and control Stability, operator norms, and signal convergence Adaptive parameter estimation State feedback adaptive control designs Parametrization of state observers for adaptive control Unified continuous and discrete-time adaptive control L1+a robustness theory for adaptive systems Direct and indirect adaptive control designs Benchmark comparison study of adaptive control designs Multivariate adaptive control Nonlinear adaptive control Adaptive compensation of actuator nonlinearities End-of-chapter discussion, problems, and advanced topics As either a textbook or reference, this self-contained tutorial of adaptive control design and analysis is ideal for practicing engineers, researchers, and graduate students alike.

Dynamic Surface Control of Uncertain Nonlinear Systems

Dynamic Surface Control of Uncertain Nonlinear Systems Book
Author : Bongsob Song,J. Karl Hedrick
Publisher : Springer Science & Business Media
Release : 2011-05-16
ISBN : 0857296329
Language : En, Es, Fr & De

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Book Description :

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.

Fundamental Research in Electrical Engineering

Fundamental Research in Electrical Engineering Book
Author : Shahram Montaser Kouhsari
Publisher : Springer
Release : 2018-07-25
ISBN : 9811086729
Language : En, Es, Fr & De

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Book Description :

This volume presents the selected papers of the First International Conference on Fundamental Research in Electrical Engineering, held at Khwarazmi University, Tehran, Iran in July, 2017. The selected papers cover the whole spectrum of the main four fields of Electrical Engineering (Electronic, Telecommunications, Control, and Power Engineering).

Adaptive Control Systems

Adaptive Control Systems Book
Author : Gang Feng,Rogelio Lozano
Publisher : Elsevier
Release : 1999-05-10
ISBN : 0080498604
Language : En, Es, Fr & De

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Book Description :

Adaptive control is no longer just an important theoretical field of study, but is also providing solutions to real-world problems. Adaptive techniques will transform the world of control. The leading world practitioners of adaptive control have contributed to this handbook which is the most important work yet in this field. Not only are techniques described in theory, but detailed control algorithms are given, making this a practical cookbook of adaptive control for both control professionals and practising engineers. The book presents the most advanced techniques and algorithms of adaptive control. These include various robust techniques, performance enhancement techniques, techniques with less a-priori knowledge, nonlinear adaptive control techniques and intelligent adaptive techniques. Each technique described has been developed to provide a practical solution to a real-life problem. This volume will therefore not only advance the field of adaptive control as an area of study, but will also show how the potential of this technology can be realised and offer significant benefits. Practical cookbook of adaptive control Contains important research

Soft Computing for Intelligent Control and Mobile Robotics

Soft Computing for Intelligent Control and Mobile Robotics Book
Author : Oscar Castillo,Witold Pedrycz
Publisher : Springer
Release : 2010-10-05
ISBN : 3642155340
Language : En, Es, Fr & De

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Book Description :

This book describes in a detailed fashion the application of hybrid intelligent systems using soft computing techniques for intelligent control and mobile robotics. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The prudent combination of SC techniques can produce powerful hybrid intelligent systems that are capable of solving real-world problems. This is illustrated in this book with a wide range of applications, with particular emphasis in intelligent control and mobile robotics. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theory and algorithms, which are basically papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of intelligent control, which are basically papers using bio-inspired techniques, like evolutionary algorithms and neural networks, for achieving intelligent control of non-linear plants. The third part contains papers with the theme of optimization of fuzzy controllers, which basically consider the application of bio-inspired optimization methods to automate the de-sign process of optimal type-1 and type-2 fuzzy controllers. The fourth part contains papers that deal with the application of SC techniques in times series prediction and intelligent agents. The fifth part contains papers with the theme of computer vision and robotics, which are papers considering soft computing methods for applications related to vision and robotics.

Block oriented Nonlinear System Identification

Block oriented Nonlinear System Identification Book
Author : Fouad Giri,Er-Wei Bai
Publisher : Springer Science & Business Media
Release : 2010-08-18
ISBN : 1849965129
Language : En, Es, Fr & De

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Book Description :

Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time. These include: iterative and over-parameterization techniques; stochastic and frequency approaches; support-vector-machine, subspace, and separable-least-squares methods; blind identification method; bounded-error method; and decoupling inputs approach. The identification methods are presented by authors who have either invented them or contributed significantly to their development. All the important issues e.g., input design, persistent excitation, and consistency analysis, are discussed. The practical relevance of block-oriented models is illustrated through biomedical/physiological system modelling. The book will be of major interest to all those who are concerned with nonlinear system identification whatever their activity areas. This is particularly the case for educators in electrical, mechanical, chemical and biomedical engineering and for practising engineers in process, aeronautic, aerospace, robotics and vehicles control. Block-oriented Nonlinear System Identification serves as a reference for active researchers, new comers, industrial and education practitioners and graduate students alike.

Applied Mechanics Reviews

Applied Mechanics Reviews Book
Author : Anonim
Publisher : Unknown
Release : 1987
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Applied Mechanics Reviews book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Robust Adaptive Control

Robust Adaptive Control Book
Author : Petros Ioannou,Jing Sun
Publisher : Courier Corporation
Release : 2013-09-26
ISBN : 0486320723
Language : En, Es, Fr & De

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Book Description :

Presented in a tutorial style, this comprehensive treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Numerous examples clarify procedures and methods. 1995 edition.

Advances in Neural Networks ISNN 2015

Advances in Neural Networks     ISNN 2015 Book
Author : Xiaolin Hu,Yousheng Xia,Yunong Zhang,Dongbin Zhao
Publisher : Springer
Release : 2015-10-14
ISBN : 331925393X
Language : En, Es, Fr & De

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Book Description :

The volume LNCS 9377 constitutes the refereed proceedings of the 12th International Symposium on Neural Networks, ISNN 2015, held in Jeju, South Korea in October 2015. The 55 revised full papers presented were carefully reviewed and selected from 97 submissions. These papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, memristive neurodynamics, computer vision, signal processing, machine learning, and optimization.

Advances and Applications in Sliding Mode Control systems

Advances and Applications in Sliding Mode Control systems Book
Author : Ahmad Taher Azar,Quanmin Zhu
Publisher : Springer
Release : 2014-11-01
ISBN : 3319111736
Language : En, Es, Fr & De

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Book Description :

This book describes the advances and applications in Sliding mode control (SMC) which is widely used as a powerful method to tackle uncertain nonlinear systems. The book is organized into 21 chapters which have been organised by the editors to reflect the various themes of sliding mode control. The book provides the reader with a broad range of material from first principles up to the current state of the art in the area of SMC and observation presented in a clear, matter-of-fact style. As such it is appropriate for graduate students with a basic knowledge of classical control theory and some knowledge of state-space methods and nonlinear systems. The resulting design procedures are emphasized using Matlab/Simulink software.

Deterministic Learning Theory for Identification Recognition and Control

Deterministic Learning Theory for Identification  Recognition  and Control Book
Author : Cong Wang,David J. Hill
Publisher : CRC Press
Release : 2018-10-03
ISBN : 1351837648
Language : En, Es, Fr & De

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Book Description :

Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and control of linear uncertain systems. Unlike many books currently available that focus on statistical principles, this book stresses learning through closed-loop neural control, effective representation and recognition of temporal patterns in a deterministic way. A Deterministic View of Learning in Dynamic Environments The authors begin with an introduction to the concepts of deterministic learning theory, followed by a discussion of the persistent excitation property of RBF networks. They describe the elements of deterministic learning, and address dynamical pattern recognition and pattern-based control processes. The results are applicable to areas such as detection and isolation of oscillation faults, ECG/EEG pattern recognition, robot learning and control, and security analysis and control of power systems. A New Model of Information Processing This book elucidates a learning theory which is developed using concepts and tools from the discipline of systems and control. Fundamental knowledge about system dynamics is obtained from dynamical processes, and is then utilized to achieve rapid recognition of dynamical patterns and pattern-based closed-loop control via the so-called internal and dynamical matching of system dynamics. This actually represents a new model of information processing, i.e. a model of dynamical parallel distributed processing (DPDP).

Evolutionary Design of Intelligent Systems in Modeling Simulation and Control

Evolutionary Design of Intelligent Systems in Modeling  Simulation and Control Book
Author : Oscar Castillo,Witold Pedrycz
Publisher : Springer Science & Business Media
Release : 2009-10-09
ISBN : 3642045138
Language : En, Es, Fr & De

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Book Description :

We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al.