Shankar Sastry's Adaptive control : stability, convergence, and robustness PDF

By Shankar Sastry

ISBN-10: 0130043265

ISBN-13: 9780130043269

ISBN-10: 0130043672

ISBN-13: 9780130043672

This quantity surveys the key effects and strategies of research within the box of adaptive keep watch over. concentrating on linear, non-stop time, single-input, single-output platforms, the authors supply a transparent, conceptual presentation of adaptive equipment, permitting a severe assessment of those thoughts and suggesting avenues of extra improvement. 1989 version

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Extra info for Adaptive control : stability, convergence, and robustness

Example text

4 will convey information necessary to modify the frequency weighting functions. References 1. R. Hanus, M. -L. Henrotte, ‘Conditioning technique, a general anti-windup and bumpless transfer method’, Automatica, vol. 23, no. 6, pp. 729–739, 1987 2. J. Paxman and G. Vinnicombe, ‘Optimal transfer schemes for switching controllers’, Proc. 39th IEEE Conf. , pp. 1093–1098, 2000 3. M. C. Turner and D. J. Walker, ‘Linear quadratic bumpless transfer’, Automatica, vol. 36, no. 8, pp. 1089–1101, 2000 4. T.

129–137, 1982 A. V. Trushkin, ‘Sufficient conditions for uniqueness of a locally optimal quantizer for a class of convex error weighting functions’, IEEE Trans. Inform. Theory, vol. IT-28, no. 2, pp. 187–198, 1982 J. C. Kieffer, ‘Exponential rate of convergence for Llyod’s method I’, IEEE Trans. Inform. Theory, vol. IT-28, no. 2, pp. 205–210, 1982 X. Wu, ‘On convergence of Llyod’s method I’, IEEE Trans. Inform. Theory, vol. 38, no. 1, pp. 171–174, 1992 L. Chai and M. Fu, ‘Infinite horizon LQG control with fixed-rate quantization for scalar systems’, 8th World Congress on Intelligent Control and Automation (WCICA), Jinan, July 2010 Chapter 3 Robust H?

From the definitions À1 of P and P , we note that XY þ UVT ¼ I and XV þ U Y^ ¼ 0. 11). 2. 11) is based on kDx F u ðS; DÞDÀ1 x k1 5g that applies a fixed D-scaling to the uncertainty channel. This is a very standard approach for the robust synthesis problems [21]. The selection of the matrix Dx is a trial-and-error process. We select the value of dx by performing a search on a grid Gx. 11) redefines the H? performance g as g ¼ diag(g1, g2). e. magnitude of uncertainty) and the H? performance from the disturbance input to the estimation error.

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Adaptive control : stability, convergence, and robustness by Shankar Sastry


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