Stochastic adaptive control for a class of dual control problems
Title | Stochastic adaptive control for a class of dual control problems PDF eBook |
Author | Yungsun Hahn |
Publisher | |
Pages | 380 |
Release | 1990 |
Genre | Adaptive control systems |
ISBN |
Adaptive Dual Control
Title | Adaptive Dual Control PDF eBook |
Author | Nikolai Michailovich Filatov |
Publisher | Springer Science & Business Media |
Pages | 258 |
Release | 2004-04-20 |
Genre | Technology & Engineering |
ISBN | 9783540213734 |
This monograph demonstrates how the performance of various well-known adaptive controllers can be improved significantly using the dual effect. The modifications to incorporate dual control are realized separately and independently of the main adaptive controller without complicating the algorithms. A new bicriterial approach for dual control is developed and applied to various types of popular linear and nonlinear adaptive controllers. Practical applications of the designed controllers to several real-time problems are presented. This monograph is the first book providing a complete exposition on the dual control problem from the inception in the early 1960s to the present state of the art aiming at students and researchers in adaptive control as well as design engineers in industry.
A Class of Adaptive Control Problems Solved Via Stochastic Control
Title | A Class of Adaptive Control Problems Solved Via Stochastic Control PDF eBook |
Author | |
Publisher | |
Pages | 13 |
Release | 1988 |
Genre | |
ISBN |
Following a set up investigated by Rishel we consider an adaptive control problem with unknown parameter x as a partially observed stochastic control problem. Exploiting the finite dimensionality of the estimator, we transform it to a fully observed stochastic optimal control problem to which we then find epsilon-optimal randomized feedback policies.
Functional Adaptive Control
Title | Functional Adaptive Control PDF eBook |
Author | Simon G. Fabri |
Publisher | Springer Science & Business Media |
Pages | 275 |
Release | 2012-12-06 |
Genre | Technology & Engineering |
ISBN | 144710319X |
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.
Scientific and Technical Aerospace Reports
Title | Scientific and Technical Aerospace Reports PDF eBook |
Author | |
Publisher | |
Pages | 602 |
Release | 1995 |
Genre | Aeronautics |
ISBN |
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Optimal Adaptive Control for a Class of Stochastic Systems
Title | Optimal Adaptive Control for a Class of Stochastic Systems PDF eBook |
Author | Arunabha Bagchi |
Publisher | |
Pages | 30 |
Release | 1994 |
Genre | |
ISBN |
Stochastic Adaptive Control Results and Simulations
Title | Stochastic Adaptive Control Results and Simulations PDF eBook |
Author | Alexis Aloneftis |
Publisher | Springer |
Pages | 144 |
Release | 1987 |
Genre | Language Arts & Disciplines |
ISBN |
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.