Adaptive Control: Algorithms, Analysis and Applications by Ioan Doré Landau, Rogelio Lozano, Mohammed M'Saad, Visit

By Ioan Doré Landau, Rogelio Lozano, Mohammed M'Saad, Visit Amazon's Alireza Karimi Page, search results, Learn about Author Central, Alireza Karimi,

Adaptive Control (second version) indicates how a wanted point of procedure functionality may be maintained instantly and in actual time, even if procedure or disturbance parameters are unknown and variable. it's a coherent exposition of the various features of this box, starting off the issues to be addressed and relocating directly to ideas, their useful importance and their program. Discrete-time features of adaptive regulate are emphasised to mirror the significance of electronic desktops within the program of the tips presented.

The moment variation is punctiliously revised to throw gentle on fresh advancements in idea and functions with new chapters on:

· multimodel adaptive keep watch over with switching;

· direct and oblique adaptive legislation; and

· adaptive feedforward disturbance compensation.

Many algorithms are newly awarded in MATLAB® m-file layout to facilitate their employment in genuine structures. Classroom-tested slides for teachers to take advantage of in instructing this fabric also are now supplied. All of this supplementary digital fabric should be downloaded from

The center fabric can also be up-dated and re-edited to maintain its standpoint in accordance with smooth rules and extra heavily to affiliate algorithms with their purposes giving the reader a high-quality grounding in:

· synthesis and research of parameter model algorithms;

· recursive plant version id in open and closed loop;

· powerful electronic keep an eye on for adaptive control;

· powerful parameter model algorithms;

· sensible concerns and purposes, together with versatile transmission platforms, lively vibration keep watch over and broadband disturbance rejection and a supplementary creation on scorching dip galvanizing and a phosphate drying furnace.

Control researchers and utilized mathematicians will locate Adaptive Control of important and enduring curiosity and its use of instance and alertness will attract practitioners operating with unknown- and variable-parameter plant.

Praise for the 1st edition:

…well written, attention-grabbing and straightforward to stick with, in order that it constitutes a worthy addition to the monographs in adaptive keep watch over for discrete-time linear structures… compatible (at least partially) to be used in graduate classes in adaptive control.

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Extra info for Adaptive Control: Algorithms, Analysis and Applications

Sample text

This approach to indirect adaptive control is called iterative identification in closed loop and controller redesign. See Gevers (1993), Bitmead (1993), Van den Hof and Schrama (1995). This technique can be used for: • retuning and redesign of an existing controller without opening the loop; • retuning of a controller from time to time in order to take into account possible change in the model parameters. It has been noticed in practice that this technique often allows to improve the performances of a controller designed on the basis of a model identified in open loop.

5 A Brief Historical Note 31 See Goodwin et al. (1980b, 1980a) (for continuous-time adaptive control see Morse 1980; Narendra et al. 1980). The progress of the adaptive control theory on the one hand and the availability of microcomputers on the other hand led to a series of successful applications of direct adaptive controllers (either deterministic or stochastic) in the late 1970’s and early 1980’s. However, despite a number of remarkable successes in the same period a number of simple counter-examples have since shown the limitation of these approaches.

2 (Wolowich 1974; Kailath 1980; Goodwin and Sin 1984) The polynomials A(q −1 ), q −d B(q −1 ) are relatively prime if and only if their eliminant matrix M (known also as the Sylvester Matrix) is nonsingular, where M is a square matrix r × r with r = max(nA , nB + d) given by: ⎫ nB +d nA ⎪ ⎪ ⎪ ⎤⎪ ⎡ ⎪ ⎪ 1 0 ... 0 0 ... 0 ⎪ ⎪ ⎪ . ⎥⎪ ⎢ . ⎪ ⎥⎪ ⎢ a1 1 . b1 ⎪ ⎥⎪ ⎢ ⎪ ⎢ a2 0 b2 b1 ⎥⎪ ⎪ ⎥⎪ ⎢ ⎪ .. ⎥⎪ ⎢ ⎪ ⎬ ⎢ . 24) B .. ⎥⎪ A ⎢ ⎥⎪ ⎢ . a 1 ⎪ ⎥⎪ ⎢ ⎢ .. ⎥⎪ ⎪ ⎥⎪ ⎢an a b . 2 ⎪ nB ⎥⎪ ⎢ A ⎪ ⎪ ⎢ .. ⎪ .. ⎥ ⎦ ⎣ 0 ⎪ .

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