Identification And Stochastic Adaptive Control

Author : Han-fu Chen,Lei Guo
Publisher : Springer Science & Business Media
Page : 436 pages
File Size : 41,9 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781461204299

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Identification and Stochastic Adaptive Control by Han-fu Chen,Lei Guo Pdf

Identifying the input-output relationship of a system or discovering the evolutionary law of a signal on the basis of observation data, and applying the constructed mathematical model to predicting, controlling or extracting other useful information constitute a problem that has been drawing a lot of attention from engineering and gaining more and more importance in econo metrics, biology, environmental science and other related areas. Over the last 30-odd years, research on this problem has rapidly developed in various areas under different terms, such as time series analysis, signal processing and system identification. Since the randomness almost always exists in real systems and in observation data, and since the random process is sometimes used to model the uncertainty in systems, it is reasonable to consider the object as a stochastic system. In some applications identification can be carried out off line, but in other cases this is impossible, for example, when the structure or the parameter of the system depends on the sample, or when the system is time-varying. In these cases we have to identify the system on line and to adjust the control in accordance with the model which is supposed to be approaching the true system during the process of identification. This is why there has been an increasing interest in identification and adaptive control for stochastic systems from both theorists and practitioners.

Author : P. R. Kumar,Pravin Varaiya
Publisher : SIAM
Page : 371 pages
File Size : 43,9 Mb
Release : 2015-12-15
Category : Mathematics
ISBN : 9781611974263

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Stochastic Systems by P. R. Kumar,Pravin Varaiya Pdf

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 : Hanfu Chen,Lei Guo
Publisher : Unknown
Page : 435 pages
File Size : 55,5 Mb
Release : 1991-01-01
Category : Adaptive control systems
ISBN : 3764335971

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Identification and Stochastic Adaptive Control by Hanfu Chen,Lei Guo Pdf

Author : Kumar P R,Varaiya P
Publisher : Unknown
Page : 0 pages
File Size : 49,9 Mb
Release : 1986
Category : Electronic
ISBN : OCLC:1347792038

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Stochastic Systems: Estimation Identification and Adaptive Control by Kumar P R,Varaiya P Pdf

Author : L. Gerencser,P. E. Caines
Publisher : Springer
Page : 405 pages
File Size : 54,7 Mb
Release : 1991-07-25
Category : Technology & Engineering
ISBN : 3540541330

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Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control by L. Gerencser,P. E. Caines Pdf

This book contains a collection of survey papers in the areas of modelling, estimation and adaptive control of stochastic systems describing recent efforts to develop a systematic and elegant theory of identification and adaptive control. It is meant to provide a fast introduction to some of the recent achievements. The book is intended for graduate students and researchers interested in statistical problems of control in general. Students in robotics and communication will also find it valuable. Readers are expected to be familiar with the fundamentals of probability theory and stochastic processes.

Author : Alexis Aloneftis
Publisher : Springer
Page : 125 pages
File Size : 40,9 Mb
Release : 2014-03-12
Category : Technology & Engineering
ISBN : 3662177986

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Stochastic Adaptive Control Results and Simulations by Alexis Aloneftis Pdf

The theme of this monograph is the adaptive control of systems in a stochastic environment and, more precisely, the study of the tracking problem for ARMAX SISO stochastic systems with time invariant and time varying parameters. Results of simultaneous tracking and parameter identification are included. The author has aimed to (1) provide a reasonably self-contained and up-to-date exposition of the tracking problem after having properly placed it amongst numerous ideas, approaches, and subproblems related to adaptive control, (2) display computer simulation results and discuss their comparative behaviour, (3) introduce a new approach to the stochastic adaptive control with promising results, and (4) qualitatively discuss the adaptive control problem in the hope of improving our understanding of it, stimulate the informed reader to come up with new ideas, and attract newcomers to its study. The reader is assumed to have studied control systems at the graduate level and to have a reasonably good grasp of basic probability theory. Apart from its educational value to the adaptive control student, it is hoped that the accumulation of scattered results and their computer simulation, as well as an extensive reference section will attract the active researcher in this field.

Author : L Gerencser,P E Caines
Publisher : Springer
Page : 412 pages
File Size : 42,6 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662165244

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Topics in Stochastic Systems by L Gerencser,P E Caines Pdf

Author : Lennart Ljung
Publisher : Unknown
Page : 12 pages
File Size : 54,6 Mb
Release : 1974
Category : Electronic
ISBN : OCLC:186421188

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Stochastic Convergence of Algorithms for Identification and Adaptive Control by Lennart Ljung Pdf

Author : T. E. Duncan
Publisher : Springer
Page : 584 pages
File Size : 55,7 Mb
Release : 1992
Category : Mathematics
ISBN : UCSD:31822015017809

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Stochastic Theory and Adaptive Control by T. E. Duncan Pdf

This workshop on stochastic theory and adaptive control assembled many of the leading researchers on stochastic control and stochastic adaptive control to increase scientific exchange and cooperative research between these two subfields of stochastic analysis. The papers included in the proceedings include survey and research. They describe both theoretical results and applications of adaptive control. There are theoretical results in identification, filtering, control, adaptive control and various other related topics. Some applications to manufacturing systems, queues, networks, medicine and other topics are gien.

Author : K.J. Aström,G.C. Goodwin,P.R. Kumar
Publisher : Springer Science & Business Media
Page : 404 pages
File Size : 53,9 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781441985682

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Adaptive Control, Filtering, and Signal Processing by K.J. Aström,G.C. Goodwin,P.R. Kumar Pdf

The area of adaptive systems, which encompasses recursive identification, adaptive control, filtering, and signal processing, has been one of the most active areas of the past decade. Since adaptive controllers are fundamentally nonlinear controllers which are applied to nominally linear, possibly stochastic and time-varying systems, their theoretical analysis is usually very difficult. Nevertheless, over the past decade much fundamental progress has been made on some key questions concerning their stability, convergence, performance, and robustness. Moreover, adaptive controllers have been successfully employed in numerous practical applications, and have even entered the marketplace.

Author : Rolf Isermann
Publisher : Springer Science & Business Media
Page : 341 pages
File Size : 47,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9783642864209

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Digital Control Systems by Rolf Isermann Pdf

The great advances made in large-scale integration of semiconductors and the resulting cost-effective digital processors and data storage devices determine the present development of automation. The application of digital techniques to process automation started in about 1960, when the first process computer was installed. From about 1970 process computers with cathodic ray tube display have become standard equipment for larger automation systems. Until about 1980 the annual increase of process computers was about 20 to 30%. The cost of hardware has already then shown a tendency to decrease, whereas the relative cost of user software has tended to increase. Because of the high total cost the first phase of digital process automation is characterized by the centralization of many functions in a single (though sometimes in several) process computer. Application was mainly restricted to medium and large processes. Because of the far-reaching consequences of a breakdown in the central computer parallel standby computers or parallel back-up systems had to be provided. This meant a substantial increase in cost. The tendency to overload the capacity and software problems caused further difficulties. In 1971 the first microprocessors were marketed which, together with large-scale integrated semiconductor memory units and input/output modules, can be assem bled into cost-effective microcomputers. These microcomputers differ from process computers in fewer but higher integrated modules and in the adaptability of their hardware and software to specialized, less comprehensive tasks.

Author : T.E. Duncan,B. Pasik-Duncan
Publisher : Springer
Page : 506 pages
File Size : 45,7 Mb
Release : 1992-11-27
Category : Technology & Engineering
ISBN : 3540559620

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Stochastic Theory and Adaptive Control by T.E. Duncan,B. Pasik-Duncan Pdf

This workshop on stochastic theory and adaptive control assembled many of the leading researchers on stochastic control and stochastic adaptive control to increase scientific exchange and cooperative research between these two subfields of stochastic analysis. The papers included in the proceedings include survey and research. They describe both theoretical results and applications of adaptive control. There are theoretical results in identification, filtering, control, adaptive control and various other related topics. Some applications to manufacturing systems, queues, networks, medicine and other topics are gien.

Author : George N. Saridis
Publisher : Unknown
Page : 518 pages
File Size : 43,9 Mb
Release : 1977
Category : Mathematics
ISBN : UOM:39015049369609

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Self-organizing Control of Stochastic Systems by George N. Saridis Pdf

Author : Yiannis Boutalis,Dimitrios Theodoridis,Theodore Kottas,Manolis A. Christodoulou
Publisher : Springer Science & Business
Page : 316 pages
File Size : 49,9 Mb
Release : 2014-04-23
Category : Technology & Engineering
ISBN : 9783319063645

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System Identification and Adaptive Control by Yiannis Boutalis,Dimitrios Theodoridis,Theodore Kottas,Manolis A. Christodoulou Pdf

Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of “concepts” and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in: • contemporary power generation; • process control and • conventional benchmarking problems. Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.

Author : Karl J. Åström,Björn Wittenmark
Publisher : Courier Corporation
Page : 596 pages
File Size : 53,9 Mb
Release : 2013-04-26
Category : Technology & Engineering
ISBN : 9780486319148

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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.