Adaptive Systems In Control And Signal Processing 1995
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| Author | : Cs. Banyasz |
| Publisher | : Elsevier |
| Total Pages | : 491 |
| Release | : 2014-05-23 |
| Genre | : Technology & Engineering |
| ISBN | : 148329689X |
Leading academic and industrial researchers working with adaptive systems and signal processing have been given the opportunity to exchange ideas, concepts and solutions at the IFAC Symposia on Adaptive Systems in Control and Signal Processing. This postprint volume contains all those papers which were presented at the 5th IFAC Symposium in Budapest in 1995. The technical program was composed of a number of invited and contributed sessions and a special case study session, providing a good balance between applications and theory oriented papers.
| Author | : T.S. Durrani |
| Publisher | : Elsevier |
| Total Pages | : 629 |
| Release | : 2014-06-28 |
| Genre | : Technology & Engineering |
| ISBN | : 1483294242 |
The Symposium covered three major areas: adaptive control, identification and signal processing. In all three, new developments were discussed covering both theoretical and applications research. Within the subject area of adaptive control the discussion centred around the challenges of robust control design to unmodelled dynamics, robust parameter estimation and enhanced performance from the estimator, while the papers on identification took the theme of it being a bridge between adaptive control and signal processing. The final area looked at two aspects of signal processing: recursive estimation and adaptive filters.
| Author | : Widrow |
| Publisher | : Pearson Education India |
| Total Pages | : 496 |
| Release | : 2016 |
| Genre | : |
| ISBN | : 9788131705322 |
| Author | : I. D. Landau |
| Publisher | : Elsevier |
| Total Pages | : 389 |
| Release | : 2014-06-28 |
| Genre | : Technology & Engineering |
| ISBN | : 148319065X |
Adaptive Systems in Control and Signal Processing 1983 is a compendium of papers presented at the International Federation of Automatic Control in San Francisco on June 20-22, 1983. One paper addresses the results through comparative alternative algorithms in adaptive control of linear time invariant and time varying systems. Another paper presents a method in computer simulation of a wide range of stable plants to achieve an alternative approach in designing an adaptive control system. The book also compares the stability and the sensitivity approach involving the design of model-reference adaptive systems. The authors involved explain that the sensitivity concept determines the "dynamic speed of adaptation," while the stability concept focuses on finding a linear compensator for any deviant signal. One paper proposes an indirect adaptive control algorithm for MIMO square full rank minimum phase systems, while another paper discusses the application of the discrete time multivariable adaptive control system, to non-minimum phase plants with an unknown dead time. This book can prove valuable to engineers and researchers of electrical, computer, and mechanical engineering. It can also be helpful for technicians and students dealing with automatic control and telecontrol.
| Author | : Phillip Regalia |
| Publisher | : Routledge |
| Total Pages | : 706 |
| Release | : 2018-04-27 |
| Genre | : Technology & Engineering |
| ISBN | : 1351468944 |
Integrates rational approximation with adaptive filtering, providing viable, numerically reliable procedures for creating adaptive infinite impulse response (IIR) filters. The choice of filter structure to adapt, algorithm design and the approximation properties for each type of algorithm are also addressed. This work recasts the theory of adaptive IIR filters by concentrating on recursive lattice filters, freeing systems from the need for direct-form filters.;A solutions manual is available for instructors only. College or university bookstores may order five or more copies at a special student price which is available upon request.
| Author | : Kohei Ohtsu |
| Publisher | : Springer |
| Total Pages | : 127 |
| Release | : 2015-03-19 |
| Genre | : Mathematics |
| ISBN | : 4431553037 |
This book presents multivariate time series methods for the analysis and optimal control of feedback systems. Although ships’ autopilot systems are considered through the entire book, the methods set forth in this book can be applied to many other complicated, large, or noisy feedback control systems for which it is difficult to derive a model of the entire system based on theory in that subject area. The basic models used in this method are the multivariate autoregressive model with exogenous variables (ARX) model and the radial bases function net-type coefficients ARX model. The noise contribution analysis can then be performed through the estimated autoregressive (AR) model and various types of autopilot systems can be designed through the state–space representation of the models. The marine autopilot systems addressed in this book include optimal controllers for course-keeping motion, rolling reduction controllers with rudder motion, engine governor controllers, noise adaptive autopilots, route-tracking controllers by direct steering, and the reference course-setting approach. The methods presented here are exemplified with real data analysis and experiments on real ships. This book is highly recommended to readers who are interested in designing optimal or adaptive controllers not only of ships but also of any other complicated systems under noisy disturbance conditions.
| Author | : Imre Csiszar |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 358 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 1461219809 |
| Author | : Paulo S.R. Diniz |
| Publisher | : Academic Press |
| Total Pages | : 1559 |
| Release | : 2013-09-21 |
| Genre | : Technology & Engineering |
| ISBN | : 0123972264 |
This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: - Quickly grasp a new area of research - Understand the underlying principles of a topic and its application - Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved - Quick tutorial reviews of important and emerging topics of research in machine learning - Presents core principles in signal processing theory and shows their applications - Reference content on core principles, technologies, algorithms and applications - Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge - Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic
| Author | : Vyacheslav Tuzlukov |
| Publisher | : CRC Press |
| Total Pages | : 632 |
| Release | : 2017-12-19 |
| Genre | : Technology & Engineering |
| ISBN | : 1439826080 |
An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the definition of signal parameters. Signal Processing in Radar Systems addresses robust signal processing problems in complex radar systems and digital signal processing subsystems. It also tackles the important issue of defining signal parameters. The book presents problems related to traditional methods of synthesis and analysis of the main digital signal processing operations. It also examines problems related to modern methods of robust signal processing in noise, with a focus on the generalized approach to signal processing in noise under coherent filtering. In addition, the book puts forth a new problem statement and new methods to solve problems of adaptation and control by functioning processes. Taking a systems approach to designing complex radar systems, it offers readers guidance in solving optimization problems. Organized into three parts, the book first discusses the main design principles of the modern robust digital signal processing algorithms used in complex radar systems. The second part covers the main principles of computer system design for these algorithms and provides real-world examples of systems. The third part deals with experimental measurements of the main statistical parameters of stochastic processes. It also defines their estimations for robust signal processing in complex radar systems. Written by an internationally recognized professor and expert in signal processing, this book summarizes investigations carried out over the past 30 years. It supplies practitioners, researchers, and students with general principles for designing the robust digital signal processing algorithms employed by complex radar systems.
| Author | : Noam Lior |
| Publisher | : John Wiley & Sons |
| Total Pages | : 592 |
| Release | : 2012-10-26 |
| Genre | : Science |
| ISBN | : 1118347722 |
Desalination is a dynamically growing field with more research, more engineering, more applications, more countries, more people, and with more training programs. This book provides high quality invited reviews on progress in various aspects of the desalination field. It features comprehensive coverage of desalination science, technology, economics, markets, energy considerations, environmental impact, and more. It is a key guide for professionals and researchers in water desalination and related areas including chemical, mechanical, and civil engineers, chemists, materials scientists, manufacturers of desalination membranes, water reuse engineers, and water authorities, as well as students in these fields.
