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

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

ISBN-10: 0857296639

ISBN-13: 9780857296634

Adaptive Control (second version) indicates how a wanted point of method functionality might be maintained immediately and in genuine time, even if technique or disturbance parameters are unknown and variable. it's a coherent exposition of the numerous facets of this box, starting off the issues to be addressed and relocating directly to suggestions, their sensible value and their program. Discrete-time features of adaptive keep watch over are emphasised to mirror the significance of electronic desktops within the software of the guidelines presented.

The moment variation is carefully revised to throw mild on fresh advancements in concept and functions with new chapters on:

· multimodel adaptive keep watch over with switching;

· direct and oblique adaptive rules; and

· adaptive feedforward disturbance compensation.

Many algorithms are newly awarded in MATLAB® m-file structure to facilitate their employment in actual structures. Classroom-tested slides for teachers to take advantage of in instructing this fabric also are now supplied. All of this supplementary digital fabric will be downloaded from www.springer.com/978-0-85729-663-4.

The center fabric is additionally up-dated and re-edited to maintain its point of view in keeping with glossy rules and extra heavily to affiliate algorithms with their purposes giving the reader a superb grounding in:

· synthesis and research of parameter version algorithms;

· recursive plant version id in open and closed loop;

· powerful electronic keep watch over for adaptive control;

· strong parameter edition algorithms;

· functional issues and functions, together with versatile transmission structures, energetic vibration regulate and broadband disturbance rejection and a supplementary creation on sizzling dip galvanizing and a phosphate drying furnace.

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

Praise for the 1st edition:

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

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Extra resources for Adaptive Control: Algorithms, Analysis and Applications

Example text

6a), (b) robust adaptation added to the conventional controller (Fig. 6a), (c) adaptation added to the robust controller (Fig. 6b) 3. A robust controller is a “fixed parameter” controller which instantaneously provides its designed characteristics. 4. The improvement of performance via adaptive control requires the introduction of additional algorithms in the loop and an “adaptation transient” is present (the time necessary to reach the desired performance from a degraded situation). 5. A trade-off should be considered in the design between robust control and robust adaptation.

The indirect adaptive control approach was significantly developed starting with Åström and Wittenmark (1973) where the term “self-tuning” was coined. The resulting scheme corresponded to an adaptive version of the minimum variance discretetime control. A further development appeared in Clarke and Gawthrop (1975). In fact, the self-tuning minimum variance controller and its extensions are a direct adaptive control scheme since one estimates directly the parameters of the controller. It took a number of years to understand that discrete-time model reference adaptive control systems and stochastic self-tuning regulators based on minimization of the error variance belong to the same family.

The indirect adaptive control approach was significantly developed starting with Åström and Wittenmark (1973) where the term “self-tuning” was coined. The resulting scheme corresponded to an adaptive version of the minimum variance discretetime control. A further development appeared in Clarke and Gawthrop (1975). In fact, the self-tuning minimum variance controller and its extensions are a direct adaptive control scheme since one estimates directly the parameters of the controller. It took a number of years to understand that discrete-time model reference adaptive control systems and stochastic self-tuning regulators based on minimization of the error variance belong to the same family.

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Adaptive Control: Algorithms, Analysis and Applications by Ioan Doré Landau, Rogelio Lozano, Mohammed M'Saad, Visit Amazon's Alireza Karimi Page, search results, Learn about Author Central, Alireza Karimi,


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