Author : Petros Ioannou
Publisher : SIAM
Page : 405 pages
File Size : 40,10 MB
Release : 2006-01-01
Category : Mathematics
ISBN : 9780898718652
Presents the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters.
Author : Petros Ioannou
Publisher : Courier Corporation
Page : 850 pages
File Size : 49,83 MB
Release : 2013-09-26
Category : Technology & Engineering
ISBN : 0486320723
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.
Author : Naira Hovakimyan
Publisher : SIAM
Page : 333 pages
File Size : 14,56 MB
Release : 2010-09-30
Category : Science
ISBN : 0898717043
Contains results not yet published in technical journals and conference proceedings.
Author : Petros Ioannou
Publisher : Society for Industrial and Applied Mathematics
Page : 184 pages
File Size : 22,56 MB
Release : 2007-08-13
Category : Mathematics
ISBN : 9780898716153
Designed to meet the needs of a wide audience without sacrificing mathematical depth and rigour, Adaptive Control Tutorial presents the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Its tutorial-style presentation of the fundamental techniques and algorithms in adaptive control make it suitable as a textbook. Adaptive Control Tutorial is designed to serve the needs of three distinct groups of readers: engineers and students interested in learning how to design, simulate, and implement parameter estimators and adaptive control schemes; graduate students who also want to understand the analysis of simple schemes and get an idea of the steps involved in more complex proofs; and advanced students and researchers who want to study and understand the details of long and technical proofs with an eye toward pursuing research in adaptive control or related topics.
Author : Gang Tao
Publisher : John Wiley & Sons
Page : 652 pages
File Size : 33,8 MB
Release : 2003-07-09
Category : Science
ISBN : 9780471274520
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.
Author : Steven A. Frank
Publisher : Springer
Page : 112 pages
File Size : 45,14 MB
Release : 2018-05-29
Category : Technology & Engineering
ISBN : 3319917072
This open access Brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control. New students, as well as scientists from other backgrounds who want a concise and easy-to-grasp coverage of control theory, will benefit from the emphasis on concepts and broad understanding of the various approaches. Electronic codes for this title can be downloaded from https://extras.springer.com/?query=978-3-319-91707-8
Author : Aniruddha Datta
Publisher : Springer Science & Business Media
Page : 166 pages
File Size : 21,88 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 0857293311
Written in a self-contained tutorial fashion, this monograph successfully brings the latest theoretical advances in the design of robust adaptive systems to the realm of industrial applications. It provides a theoretical basis for verifying some of the reported industrial successes of existing adaptive control schemes and enables readers to synthesize adaptive versions of their own robust internal model control schemes.
Author : Karl J. Åström
Publisher : Courier Corporation
Page : 596 pages
File Size : 39,45 MB
Release : 2013-04-26
Category : Technology & Engineering
ISBN : 0486319148
Suitable for advanced undergraduates and graduate students, this overview introduces theoretical and practical aspects of adaptive control, with emphasis on deterministic and stochastic viewpoints. 1995 edition.
Author : P. R. Kumar
Publisher : SIAM
Page : 371 pages
File Size : 30,59 MB
Release : 2015-12-15
Category : Mathematics
ISBN : 1611974259
Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engineering and in those areas of the social sciences concerned with policy analysis and prescription. These approaches required a computing capacity too expensive for the time, until the ability to collect and process huge quantities of data engendered an explosion of work in the area. This book provides succinct and rigorous treatment of the foundations of stochastic control; a unified approach to filtering, estimation, prediction, and stochastic and adaptive control; and the conceptual framework necessary to understand current trends in stochastic control, data mining, machine learning, and robotics.
Author : Vladimír Bobál
Publisher : Springer Science & Business Media
Page : 340 pages
File Size : 13,95 MB
Release : 2005-05-19
Category : Technology & Engineering
ISBN : 9781852339807
Practical emphasis to teach students to use the powerful ideas of adaptive control in real applications Custom-made Matlab® functionality to facilitate the design and construction of self-tuning controllers for different processes and systems Examples, tutorial exercises and clearly laid-out flowcharts and formulae to make the subject simple to follow for students and to help tutors with class preparation
