Download Adaptive Control Tutorial (Advances in Design and Control) by Petros Ioannou, Barýp Fidan PDF

By Petros Ioannou, Barýp Fidan

Designed to satisfy the desires of a large viewers with out sacrificing mathematical intensity and rigor, Adaptive keep watch over educational provides the layout, research, and alertness of a large choice of algorithms that may be used to control dynamical structures with unknown parameters. Its tutorial-style presentation of the elemental innovations and algorithms in adaptive keep an eye on make it appropriate as a textbook.

Adaptive keep watch over instructional is designed to serve the wishes of 3 certain teams of readers: engineers and scholars attracted to studying how one can layout, simulate, and enforce parameter estimators and adaptive keep an eye on schemes with no need to completely comprehend the analytical and technical proofs; graduate scholars who, as well as reaching the aforementioned ambitions, additionally are looking to comprehend the research of easy schemes and get an concept of the stairs considering extra complicated proofs; and complex scholars and researchers who are looking to learn and comprehend the main points of lengthy and technical proofs with a watch towards pursuing study in adaptive keep watch over or similar subject matters.

The authors in attaining those a number of targets by way of enriching the e-book with examples demonstrating the layout tactics and simple research steps and by means of detailing their proofs in either an appendix and electronically on hand supplementary fabric; on-line examples also are on hand. an answer guide for teachers could be got by way of contacting SIAM or the authors.

This publication could be priceless to masters- and Ph.D.-level scholars in addition to electric, mechanical, and aerospace engineers and utilized mathematicians.

Preface; Acknowledgements; checklist of Acronyms; bankruptcy 1: advent; bankruptcy 2: Parametric types; bankruptcy three: Parameter identity: non-stop Time; bankruptcy four: Parameter id: Discrete Time; bankruptcy five: Continuous-Time version Reference Adaptive keep an eye on; bankruptcy 6: Continuous-Time Adaptive Pole Placement regulate; bankruptcy 7: Adaptive keep watch over for Discrete-Time platforms;

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Extra resources for Adaptive Control Tutorial (Advances in Design and Control)

Example text

45) guarantees that P, P~' e £00 and that 0(0 -» 0* as t —>• oo. The convergence of 0(0 -> 6* is exponential when ft > 0. Proof. The proof is given in [56] and in the web resource [94J. 45) in the absence of PE. 45) is modified in order to avoid certain undesirable phenomena, as discussed in the following sections. 45) reduces to which is referred to as the pure LS algorithm. 2. , consists of at least n+™+l distinct frequencies, then , ^- are PE and therefore 0(0 —^ 0* as t —»• oo. Proof. , where P — PJ > 0 i s a constant matrix.

The objective is to process the signals z(0 and 0(r) in order to generate an estimate 9(t) for 0* at each time t. This estimate may be generated as where H(t) is some gain vector that depends on 0(0 and s(t} is the estimation error signal that represents a measure of how far 9(t) is from 0*. Different choices for H(t) and s(t) lead to a wide class of adaptive laws with, sometimes, different convergence properties, as demonstrated in the following sections. 6 Gradient Algorithms Based on the Linear Model The gradient algorithm is developed by using the gradient method to minimize some appropriate functional J(9}.

Parametric Models 21 by adding and subtracting the term /U. We then rewrite it as Letting we obtain another DPM. 8 Consider the second-order plant where and are matrices with unknown elements. The SSPM is generated as where aw, > 0 is a design constant. 9 (parametric model for nth-SISO LTI system) cONSIDER THE siso lti system described by the I/O relation where and u and y are the plant scalar input and output, respectively. We can also express the above system as an nth-order differential equation given by Lumping all the parameters in the vector 22 Chapter 2.

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