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) exhibits how a wanted point of method functionality will be maintained immediately and in actual time, even if strategy or disturbance parameters are unknown and variable. it's a coherent exposition of the numerous points of this box, commencing the issues to be addressed and relocating directly to suggestions, their functional importance and their software. Discrete-time points of adaptive keep an eye on are emphasised to mirror the significance of electronic pcs within the software of the information presented.
The moment version is punctiliously revised to throw mild on fresh advancements in idea and purposes 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 provided in MATLAB® m-file layout to facilitate their employment in actual platforms. Classroom-tested slides for teachers to exploit in instructing this fabric also are now supplied. All of this supplementary digital fabric may be downloaded from www.springer.com/978-0-85729-663-4.
The middle fabric is additionally up-dated and re-edited to maintain its viewpoint in keeping with glossy rules and extra heavily to affiliate algorithms with their functions giving the reader a superb grounding in:
· synthesis and research of parameter variation algorithms;
· recursive plant version id in open and closed loop;
· strong electronic regulate for adaptive control;
· powerful parameter model algorithms;
· functional issues and purposes, together with versatile transmission structures, energetic vibration keep an eye on and broadband disturbance rejection and a supplementary advent on sizzling 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 keep on with, in order that it constitutes a important addition to the monographs in adaptive regulate for discrete-time linear platforms… 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
See Morse (1995), Narendra and Balakrishnan (1997), Karimi and Landau (2000) and Chap. 13. End of the nineties and beginning of the new century have seen the emergence of a new paradigm: adaptive regulation. In this context the plant model is assumed to 32 1 Introduction to Adaptive Control be known and invariant and adaptation is considered with respect to the disturbance model which is unknown and time varying (Amara et al. 1999a; Valentinotti 2001; Landau et al. 2005 and Chap. 14). In the mean time it was pointed out that adaptive feedforward compensation of disturbances which for a long time has been considered as an “open-loop” problem has in fact a hidden feedback structure bringing this subject in the context of adaptive feedback control.
The self tuning minimum variance controller (Åström and Wittenmark 1973) is the basic example of direct adaptive control in a stochastic environment. More details can be found in Chaps. 7 and 11. Despite its elegance, the use of direct adaptive control schemes is limited by the hypotheses related to the underlying linear design in the case of known parameters. While the performance can in many cases be specified in terms of a reference model, the conditions for the existence of a feasible controller allowing for the closed loop to match the reference model are restrictive.
A regulation objective in a deterministic environment can be specified in terms of the evolution of the output starting from an initial disturbed value by specifying the desired location of the closed-loop poles. In these cases, the controller is designed such that for a given plant model, the closed-loop system has the characteristics of the desired dynamic system. The design problem can in fact be equivalently reformulated as in Fig. 9. The reference model in Fig. 9 is a realization of the system with desired performances.
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,