This book brings adaptive control out of the realm of theory, describing tools for controlling nonlinear processes. The text presents the open-loop gain scheduling method, which is flexible, easy to use and well-suited to many processes. Later chapters cover closed-loop (self-tuning) methods for start-ups or other demanding applications.
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...
[Wei05] S. Weisberg, Applied Linear Regression, 3rd ed. ... Available: http://en.wikipedia.org/w/index.php?title=Linear regression&oldid=237064808 [Wik08h] ——, “Moore-Penrose pseudoinverse — wikipedia, the free encyclopedia,” 2008.
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.
" Presented in a tutorial style, this text reduces the confusion and difficulty in grasping the design, analysis, and robustness of a wide class of adaptive controls for continuous-time plants.
Identification and System Parameter Estimation, Washington, D.C., pp. 1187–1192 (1982). Hughes, F. M., and Allidina, A. Y., Self-tuning controller design incorporating frequency response criteria, Proc. IFAC Symp.
Suitable either as a reference for practising engineers or as a text for a graduate course in adaptive control systems, this is a self-contained compendium of readily implementable adaptive control algorithms.
Safe Adaptive Control gives a formal and complete algorithm for assuring the stability of a switched control system when at least one of the available candidate controllers is stabilizing.
... we consider the following reference model: Aref – Aref Aref –– Bref Xcmd. }ref – C Aref (10.14) It is easy to verify that the transfer function Gry(s) from y, toy, and then subtract (10.14) from (10.13) to obtain the tracking.
The subject is well understood, yet it has a very active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive 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.