Stable Adaptive Systems

Author : Kumpati S. Narendra,Anuradha M. Annaswamy
Publisher : Courier Corporation
Page : 514 pages
File Size : 43,6 Mb
Release : 2012-07-12
Category : Science
ISBN : 9780486141428

Get Book

Stable Adaptive Systems by Kumpati S. Narendra,Anuradha M. Annaswamy Pdf

This graduate-level text focuses on the stability of adaptive systems, and offers a thorough understanding of the global stability properties essential to designing adaptive systems. Its self-contained, unified presentation of well-known results establishes the close connections between seemingly independent developments in the field. Prerequisites include a knowledge of linear algebra and differential equations, as well as a familiarity with basic concepts in linear systems theory. The first chapter sets the tone for the entire book, introducing basic concepts and tracing the evolution of the field from the 1960s through the 1980s. The first seven chapters are accessible to beginners, and the final four chapters are geared toward more advanced, research-oriented students. Problems ranging in complexity from relatively easy to quite difficult appear throughout the text. Topics include results in stability theory that emphasize incidents directly relevant to the study of adaptive systems; the stability properties of adaptive observers and controllers; the important concept of persistent excitation; the use of error models in systems analysis; areas of intense research activity; and five detailed case studies of systems in which adaptive control has proved successful

Author : Jeffrey T. Spooner,Manfredi Maggiore,Raúl Ordóñez,Kevin M. Passino
Publisher : John Wiley & Sons
Page : 564 pages
File Size : 54,7 Mb
Release : 2004-04-07
Category : Science
ISBN : 9780471460978

Get Book

Stable Adaptive Control and Estimation for Nonlinear Systems by Jeffrey T. Spooner,Manfredi Maggiore,Raúl Ordóñez,Kevin M. Passino Pdf

Thema dieses Buches ist die Anwendung neuronaler Netze und Fuzzy-Logic-Methoden zur Identifikation und Steuerung nichtlinear-dynamischer Systeme. Dabei werden fortgeschrittene Konzepte der herkömmlichen Steuerungstheorie mit den intuitiven Eigenschaften intelligenter Systeme kombiniert, um praxisrelevante Steuerungsaufgaben zu lösen. Die Autoren bieten viel Hintergrundmaterial; ausgearbeitete Beispiele und Übungsaufgaben helfen Studenten und Praktikern beim Vertiefen des Stoffes. Lösungen zu den Aufgaben sowie MATLAB-Codebeispiele sind ebenfalls enthalten.

Author : S.S. Ge,C.C. Hang,T.H. Lee,Tao Zhang
Publisher : Springer Science & Business Media
Page : 296 pages
File Size : 55,9 Mb
Release : 2013-03-09
Category : Science
ISBN : 9781475765779

Get Book

Stable Adaptive Neural Network Control by S.S. Ge,C.C. Hang,T.H. Lee,Tao Zhang Pdf

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.

Author : Shankar Sastry,Marc Bodson
Publisher : Courier Corporation
Page : 402 pages
File Size : 49,5 Mb
Release : 2011-01-01
Category : Technology & Engineering
ISBN : 9780486482026

Get Book

Adaptive Control by Shankar Sastry,Marc Bodson Pdf

This volume surveys the major results and techniques of analysis in the field of adaptive control. Focusing on linear, continuous time, single-input, single-output systems, the authors offer a clear, conceptual presentation of adaptive methods, enabling a critical evaluation of these techniques and suggesting avenues of further development. 1989 edition.

Author : Petros Ioannou,Jing Sun
Publisher : Courier Corporation
Page : 850 pages
File Size : 41,7 Mb
Release : 2013-09-26
Category : Technology & Engineering
ISBN : 9780486320724

Get Book

Robust Adaptive Control by Petros Ioannou,Jing Sun Pdf

This tutorial-style presentation of the fundamental techniques and algorithms in adaptive control is designed to meet the needs of a wide audience without sacrificing mathematical depth or rigor. The text explores the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Topics include models for dynamic systems, stability, online parameter estimation, parameter identifiers, model reference adaptive control, adaptive pole placement control, and robust adaptive laws. Engineers and students interested in learning how to design, stimulate, and implement parameter estimators and adaptive control schemes will find that this treatment does not require a full understanding of the analytical and technical proofs. This volume will also serve graduate students who wish to examine the analysis of simple schemes and discover the steps involved in more complex proofs. Advanced students and researchers will find it a guide to the grasp of long and technical proofs. Numerous examples demonstrating design procedures and the techniques of basic analysis enrich the text.

Author : Eugene Lavretsky
Publisher : Springer Nature
Page : 718 pages
File Size : 45,9 Mb
Release : 2024-06-15
Category : Electronic
ISBN : 9783031383144

Get Book

Robust and Adaptive Control by Eugene Lavretsky Pdf

Author : John H. Miller,Scott E. Page
Publisher : Princeton University Press
Page : 285 pages
File Size : 48,8 Mb
Release : 2009-11-28
Category : Social Science
ISBN : 9781400835522

Get Book

Complex Adaptive Systems by John H. Miller,Scott E. Page Pdf

This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

Author : James Patrick Brock
Publisher : Elsevier
Page : 642 pages
File Size : 48,5 Mb
Release : 2000-07-12
Category : Science
ISBN : 9780080542461

Get Book

The Evolution of Adaptive Systems by James Patrick Brock Pdf

The data of evolutionary biology have changed in a very radical way in recent years, the most significant input to this revolution being the advances made in developmental genetics. Another recent development is a noticeable shift away from extreme specialization in evolutionary biology. In this, we are perhaps to be reminded of George Gaylord Simpson's comments: "evolution is an incredibly complex but at the same time integrated and unitary process." The main objective of this book is to illustrate how natural adaptive systems evolve as a unity--with the particular objective of identifying and merging several special theories of evolution within the framework of a single general theory. The Evolution of Adaptive Systems provides an interdisciplinary overview of the general theory of evolution from the standpoint of the dynamic behavior of natural adaptive systems. The approach leads to a radically new fusion of the diverse disciplines of evolutionary biology, serving to resolve the considerable degree of conflict existing between different schools of contemporary thought. The book is a timely volume written by a natural historian with a broad view of biology The author draws examples from a large range of organisms from many different habitats and niches where interesting adaptations have evolved Probes deeply into mechanisms of evolution such as developmental genetics, morphogenesis, chromosome structure, and cladogenesis Clear definition of terms, with illustrations visualizing the main theoretical structures, and point-by-point summaries clearly stating the principal conclusions

Author : Kumpati S. Narendra
Publisher : Elsevier
Page : 568 pages
File Size : 54,8 Mb
Release : 2012-12-02
Category : Technology & Engineering
ISBN : 9780323145671

Get Book

Applications of Adaptive Control by Kumpati S. Narendra Pdf

Control Applications of Adaptive covers the proceedings of the 197 Workshop on Applications of Adaptive Control, held in Yale University. This book is organized into five parts encompassing 18 chapters that summarize the potential application of adaptive control to many practical problems. Part I contains tutorials that bring together important result s in two of the most studied approaches to adaptive control, namely, self-tuning regulators and model reference adaptive control (MRAC), with a particular emphasis on the importance of error models in the stability analysis of MRAC. Part II examines the algorithms used for adaptive signal processing, while Part III describes the types of power systems problems that could benefit from application of adaptive control and how to apply adaptive control algorithms for controlling large electric generators. Part IV highlights adaptive control in aircraft systems. This part also considers how adaptive control fell into disfavor in the flight control community, illustrating the existence of residual negative bias. The desirability of cost elimination of air data sensors in less-sophisticated flight control systems is also discussed. Part V addresses the application of process control to chemical processes and to electromechanical systems. This part also shows the robustness and superior tracking and regulation properties of model reference adaptive control applied to liquid level control. Discussion on various classes of model reference adaptive controllers in a common framework from the viewpoint of microcomputer implementation is also included. This book will be of value to control system theorists and practitioners.

Author : Simon G. Fabri,Visakan Kadirkamanathan
Publisher : Springer Science & Business Media
Page : 275 pages
File Size : 52,7 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447103196

Get Book

Functional Adaptive Control by Simon G. Fabri,Visakan Kadirkamanathan Pdf

Unique in its systematic approach to stochastic systems, this book presents a wide range of techniques that lead to novel strategies for effecting intelligent control of complex systems that are typically characterised by uncertainty, nonlinear dynamics, component failure, unpredictable disturbances, multi-modality and high dimensional spaces.

Author : Karl J. Åström,Björn Wittenmark
Publisher : Courier Corporation
Page : 596 pages
File Size : 40,7 Mb
Release : 2013-04-26
Category : Technology & Engineering
ISBN : 9780486319148

Get Book

Adaptive Control by Karl J. Åström,Björn Wittenmark Pdf

Suitable for advanced undergraduates and graduate students, this text introduces theoretical and practical aspects of adaptive control. It offers an excellent perspective on techniques as well as an active knowledge of key approaches. Readers will acquire a well-developed sense of when to use adaptive techniques and when other methods are more appropriate. Starting with a broad overview, the text explores real-time estimation, self-tuning regulators and model-reference adaptive systems, stochastic adaptive control, and automatic tuning of regulators. Additional topics include gain scheduling, robust high-gain control and self-oscillating controllers, and suggestions for implementing adaptive controllers. Concluding chapters feature a summary of applications and a brief review of additional areas closely related to adaptive control. Both authors are Professors at the Lund Institute of Technology in Sweden, and this text has evolved from their many years of research and teaching. Their insights into properties, design procedures, and implementation of adaptive controllers are complemented by the numerous examples, simulations, and problems that appear throughout the book.

Author : Sander van der Leeuw
Publisher : Cambridge University Press
Page : 533 pages
File Size : 42,5 Mb
Release : 2020-02-13
Category : History
ISBN : 9781108498692

Get Book

Social Sustainability, Past and Future by Sander van der Leeuw Pdf

A novel, integrated approach to understanding long-term human history, viewing it as the long-term evolution of human information-processing. This title is also available as Open Access.

Author : A.L. Fradkov,I.V. Miroshnik,V.O. Nikiforov
Publisher : Springer Science & Business Media
Page : 520 pages
File Size : 47,5 Mb
Release : 2013-06-29
Category : Science
ISBN : 9789401592611

Get Book

Nonlinear and Adaptive Control of Complex Systems by A.L. Fradkov,I.V. Miroshnik,V.O. Nikiforov Pdf

This volume presents a theoretical framework and control methodology for a class of complex dynamical systems characterised by high state space dimension, multiple inputs and outputs, significant nonlinearity, parametric uncertainty, and unmodeled dynamics. A unique feature of the authors' approach is the combination of rigorous concepts and methods of nonlinear control (invariant and attracting submanifolds, Lyapunov functions, exact linearisation, passification) with approximate decomposition results based on singular perturbations and decentralisation. Some results published previously in the Russian literature and not well known in the West are brought to light. Basic concepts of modern nonlinear control and motivating examples are given. Audience: This book will be useful for researchers, engineers, university lecturers and postgraduate students specialising in the fields of applied mathematics and engineering, such as automatic control, robotics, and control of vibrations.

Author : Ted Carmichael,Andrew J. Collins,Mirsad Hadžikadić
Publisher : Springer
Page : 250 pages
File Size : 49,5 Mb
Release : 2019-06-14
Category : Technology & Engineering
ISBN : 9783030203092

Get Book

Complex Adaptive Systems by Ted Carmichael,Andrew J. Collins,Mirsad Hadžikadić Pdf

​This book emerged out of international conferences organized as part of the AAAI Fall Symposia series, and the Swarmfest 2017 conference. It brings together researchers from diverse fields studying these complex systems using CAS and agent-based modeling tools and techniques. In the past, the knowledge gained in each domain has largely remained exclusive to that domain. By bringing together scholars who study these phenomena, the book takes knowledge from one domain to provide insight into others. Most interesting phenomena in natural and social systems include constant transitions and oscillations among their various phases – wars, companies, societies, markets, and humans rarely stay in a stable, predictable state for long. Randomness, power laws, and human behavior ensure that the future is both unknown and challenging. How do events unfold? When do they take hold? Why do some initial events cause an avalanche while others do not? What characterizes these events? What are the thresholds that differentiate a sea change from a non-event? Complex adaptive systems (CAS) have proven to be a powerful tool for exploring these and other related phenomena. The authors characterize a general CAS model as having a large number of self-similar agents that: 1) utilize one or more levels of feedback; 2) exhibit emergent properties and self-organization; and 3) produce non-linear dynamic behavior. Advances in modeling and computing technology have led not only to a deeper understanding of complex systems in many areas, but they have also raised the possibility that similar fundamental principles may be at work across these systems, even though the underlying principles may manifest themselves differently.

Author : Alessandro Astolfi,Dimitrios Karagiannis,Romeo Ortega
Publisher : Springer Science & Business Media
Page : 290 pages
File Size : 42,5 Mb
Release : 2007-12-06
Category : Technology & Engineering
ISBN : 9781848000667

Get Book

Nonlinear and Adaptive Control with Applications by Alessandro Astolfi,Dimitrios Karagiannis,Romeo Ortega Pdf

The authors here provide a detailed treatment of the design of robust adaptive controllers for nonlinear systems with uncertainties. They employ a new tool based on the ideas of system immersion and manifold invariance. New algorithms are delivered for the construction of robust asymptotically-stabilizing and adaptive control laws for nonlinear systems. The methods proposed lead to modular schemes that are easier to tune than their counterparts obtained from Lyapunov redesign.