Includes bibliographies and index.
|Series||Electrical engineering and electronics ;, 39|
|LC Classifications||TJ217 .C47 1987|
|The Physical Object|
|Pagination||xii, 526 p. :|
|Number of Pages||526|
|LC Control Number||87005320|
Sep 12, · Here is the full list of best reference books on Adaptive Control Theory: 1. “Robust Adaptive Control” by P. Ioannou and J. Sun Book Review: The book presents fundamental techniques and algorithms in the field of adaptive control. The book demons. Peng Zhang, in Advanced Industrial Control Technology, (2) Adaptive control. An adaptive control system can be defined as a feedback control system intelligent enough to adjust its characteristics in a changing environment so that some specified criteria are satisfied. Generally speaking, adaptive control methods are mainly suitable for (a) mechanical systems that do not have significant. Nov 03, · Adaptive Control: Second Edition (Dover Books on Electrical Engineering) [Karl J. Astrom, Dr. Bjorn Wittenmark] on eduevazquez.com *FREE* shipping on qualifying offers. 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 /5(13). Adaptive internal model control An algorithm for robust adaptive control with less prior knowledge Adaptive variable structure control Indirect adaptive periodic control Adaptive stabilization of uncertain discrete-time systems via switching control: the method of localization Adaptive nonlinear control: passivation and small gain techniques.
The book contains various applications of control techniques. The book is intended as a textbook for graduate students as well as basic reference for practicing engineers facing the problem of designing adaptive control systems.” (Vjatscheslav Vasiliev, Zentralblatt MATH, Vol. , )Brand: Springer-Verlag London. Adaptive control has been a remarkable field for industrial and academic research since s. Since more and more adaptive algorithms are applied in various control applications, it is becoming very important for practical implementation. As it can be confirmed from the increasing number of conferences and journals on adaptive control topics, it is certain that the adaptive control is a. Adaptive control is the control method used by a controller which must adapt to a controlled system with parameters which vary, or are initially uncertain. For example, as an aircraft flies, its mass will slowly decrease as a result of fuel consumption; a control law is needed that . existing techniques for designing and analyzing adaptive control systems. The book is written in a self-contained fashion to be used as a textbook on adaptive systems at the senior undergraduate, or ﬂrst and second gradu-ate level. It is assumed that the reader is familiar with the materials taught.
Ebooks Library. Search this site. Home. 3ds max 4 Bible. A History of American Literature (Blackwell History of Literature) A Mathematician Plays the Stock Market. Adaptive Control Systems. Advances in Artificial Intelligence - SBIA 17th Brazilian Symposium on Artificial Intelligence, Sao Luis, Maranhao, Brazil, September October. To introduce the basic theory and overview of adaptive systems and their applications to control systems. Introduction to adaptive systems and adaptive control Basic concepts and structure of adaptive systems; P.A. Ioannou & J. Sun, Robust Adaptive Control, Prentice Hall, Upper Saddle River, NJ, The book is available (for free). This chapter presents an adaptive control technique to stabilize the attitude dynamics of unmanned aerial vehicle (UAV) type quadrotor in the presence of disturbances and/or uncertainties in the parameters due to changes in the payload, nonlinear actuators, and change in environmental conditions. To address the above problem, MRAC (model reference adaptive control) strategy is used. In this Cited by: 2. The book is focused on adaptive control of deterministic systems with uncertain parameters, dynamics and disturbances. It can also be useful for understanding the adaptive control algorithms for stochastic systems (see references for ``Stochastic Systems'' in Section for such algorithms).