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 approach functionality may be maintained immediately and in genuine time, even if technique or disturbance parameters are unknown and variable. it's a coherent exposition of the various elements of this box, starting up the issues to be addressed and relocating directly to options, their sensible value and their software. Discrete-time features of adaptive keep an eye on are emphasised to mirror the significance of electronic pcs within the program of the information presented.
The moment version is punctiliously revised to throw gentle on fresh advancements in concept and functions with new chapters on:
· multimodel adaptive keep an eye on with switching;
· direct and oblique adaptive rules; and
· adaptive feedforward disturbance compensation.
Many algorithms are newly offered in MATLAB® m-file layout to facilitate their employment in actual structures. 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 can also be up-dated and re-edited to maintain its standpoint in response to smooth principles and extra heavily to affiliate algorithms with their purposes giving the reader an outstanding grounding in:
· synthesis and research of parameter edition algorithms;
· recursive plant version id in open and closed loop;
· strong electronic keep watch over for adaptive control;
· powerful parameter edition algorithms;
· functional issues and purposes, together with versatile transmission structures, lively 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 necessary addition to the monographs in adaptive regulate 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
See Bitmead (1993), Van den Hof and Schrama (1995), Langer and Landau (1996) and Chap. 9. The explanation is that identification in closed loop is made with an effective plant input which corresponds to the external excitation filtered by a sensitivity function. This sensitivity function will enhance the signal energy in the frequency range around the band pass of the closed loop and therefore will allow a more accurate model to be obtained in this region, which is critical for the design. This technique emphasizes the role of identification in closed loop as a basic step for controller tuning based on data obtained in closed-loop operation.
See Landau and Karimi (1997b), Chaps. 9 and 16. 4 Direct and Indirect Adaptive Control: Some Connections Comparing the direct adaptive control scheme shown in Fig. 10 with the indirect adaptive control scheme shown in Fig. 13, one observes an important difference. In the scheme of Fig. 10, the parameters of the controller are directly estimated (adapted) by the adaptation mechanism. In the scheme of Fig. 13, the adaptation mechanism 1 tunes the parameters of an adjustable predictor and these parameters are then used to compute the controller parameters.
6 Further Reading It is not possible in a limited number of pages to cover all the aspects of adaptive control. In what follows we will mention some references on a number of issues not covered by this book. • Continuous Time Adaptive Control (Ioannou and Sun 1996; Sastry and Bodson 1989; Anderson et al. 1986; Åström and Wittenmark 1995; Landau 1979; Datta 1998) • Multivariable Systems (Dugard and Dion 1985; Goodwin and Sin 1984; Dion et al. 1988; Garrido-Moctezuma et al. 1993; Mutoh and Ortega 1993; de Mathelin and Bodson 1995) • Systems with Constrained Inputs (Zhang and Evans 1994; Feng et al.