By Petros Ioannou, Barýp Fidan

ISBN-10: 0898716152

ISBN-13: 9780898716153

Designed to fulfill the wishes of a large viewers with out sacrificing mathematical intensity and rigor, Adaptive keep an eye on instructional offers the layout, research, and alertness of a large choice of algorithms that may be used to control dynamical platforms with unknown parameters. Its tutorial-style presentation of the basic thoughts and algorithms in adaptive keep an eye on make it compatible as a textbook.

Adaptive keep an eye on educational is designed to serve the wishes of 3 designated teams of readers: engineers and scholars drawn to studying tips to layout, simulate, and enforce parameter estimators and adaptive regulate schemes with no need to completely comprehend the analytical and technical proofs; graduate scholars who, as well as achieving the aforementioned ambitions, additionally are looking to comprehend the research of easy schemes and get an concept of the stairs all for extra advanced proofs; and complicated 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 themes.

The authors in achieving those a number of pursuits by way of enriching the ebook with examples demonstrating the layout systems and uncomplicated research steps and through detailing their proofs in either an appendix and electronically to be had supplementary fabric; on-line examples also are to be had. an answer guide for teachers could be acquired through contacting SIAM or the authors.

This publication may be worthwhile 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: creation; bankruptcy 2: Parametric versions; bankruptcy three: Parameter identity: non-stop Time; bankruptcy four: Parameter identity: Discrete Time; bankruptcy five: Continuous-Time version Reference Adaptive regulate; bankruptcy 6: Continuous-Time Adaptive Pole Placement keep an eye on; bankruptcy 7: Adaptive keep watch over for Discrete-Time structures;

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**Sample text**

For identification purposes, the system may be expressed as and put in the form of the DPM where If we want W(s) to be a design transfer function with a pole, say at A. > 0, we write Chapter 2. 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.

7. /•&- is PE, then 9(t} -> 0* exponentially fast. Furthermore, for r — yl, the rate of convergence increases with y. , it consists of at least "+™+l distinct frequencies, and the plant is stable and has no zero-pole cancellations, then (f), •£are PE and 9(t} —> 0* exponentially fast. Proof. The proof is presented in the web resource [94]. 7 indicates that the rate of parameter convergence increases with increasing adaptive gain. Simulations demonstrate that the gradient algorithm based on the integral cost gives better convergence properties than the gradient algorithm based on the instantaneous cost.

Also, u — constant / 0 and u — Xl/li sinw/f, m > 2, will guarantee that 0 is PE. In general, for each two unknown parameters we need at least a single nonzero frequency to guarantee PE, provided of course that H(s) does not lose its linear independence as demonstrated by the above example. 21), which has exactly the same form as in the case of an arbitrary number of parameters. 21). 26) with is a monic Hurwitz polynomial, we obtain the parametric model 2 At high frequencies or large s, the plant behaves as -^^; therefore, kp is termed high-frequency gain.

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