Kumpati S. Narendra's Adaptive and Learning Systems: Theory and Applications PDF

By Kumpati S. Narendra

ISBN-10: 1475718950

ISBN-13: 9781475718959

ISBN-10: 1475718977

ISBN-13: 9781475718973

This quantity deals a glimpse of the prestige of analysis in adaptive and studying platforms in 1985. in recent times those parts have spawned a multiplicity of principles so speedily that the common study employee or working towards engineer is crushed by way of the flood of knowledge. The Yale Workshop on purposes of Adaptive structures idea was once equipped in 1979 to supply a quick respite from this deluge, in which serious concerns can be tested in a relaxed and collegial setting. The fourth of the sequence having been held in might 1985, it has now develop into good proven as a biennial discussion board for the vigorous trade of rules within the ever altering area of adaptive structures. The scope of this ebook is large and levels from theoretical investigations to functional functions. It comprises twenty 8 papers via leaders within the box, chosen from the professional­ ceedings of the Fourth Yale Workshop and divided into 5 sections. i've got supplied a short advent to every part in order that it may be learn as a self-contained unit. the 1st part, dedicated to adaptive keep watch over concept, indicates the depth of job within the box and divulges indicators of convergence in the direction of a few universal issues by way of employees with quite assorted moti­ vation. initial effects about the diminished order version challenge are dramatically altering the best way we view the sphere and bringing it towards different components comparable to powerful linear keep an eye on the place significant advances were lately reported.

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Extra resources for Adaptive and Learning Systems: Theory and Applications

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In [22] the results are extended to stationary reference inputs and applied to the ideal case. In [50], Kosut et al. co). In [51], similar results are derived using the small gain theorem [25]. Comments: (i) It should be noted that in [49,50] and [51], it is assumed that w is bounded and the stability conditions are then expressed in terms of the freequency spectrum of w. As pointed out in [49] this restricts the validity of the stability results to a neighborhood of the tuned solutions. While the above results provide valuable insights regarding the stability and instability mechanisms in the adaptive control problem, they are nonetheless expressed in terms of signals which are outputs of a nonlinear system.

In the first place, the theory requires slow adaptation which can be counter-productive because performance can be below par for the long period of time it takes for the parameters to readjust. Secondly, averaging theory is a form of linearization so that the (nonlinear) adaptive system must be initialized in a (not necessarily small) neighborhood of the tuned system. On the positive side, however, we do obtain frequency domain conditions which explain the system behavior near the tuned solutions.

Annaswamy, "Error Models for Stable Hybrid Adaptive Systems - Part II," IEEE Transactions on Automatic Control, AC-30, No. 4, pp. 339-347, April 1985. 30 [44] L. Praly, "Global Stability of a Direct Adaptive Control Scheme Robust with Respect to a Graph Topology," this volume, Plenum Press, 1985. [45] G. O. Anderson, "Robust Model Reference Adaptive Control," DFVLR Tech. Report, Oberpfaffenhofen, W. Germany, 1984. S. M. Annaswamy, "Robust Adaptive Control Using a Reduced Order Model," Tech. Report, New Haven, Ct.

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Adaptive and Learning Systems: Theory and Applications by Kumpati S. Narendra


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