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Performance and robustness in adaptive control of linear stochastic systems

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Stochastic Differential Systems

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 126))

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Abstract

We provide an account of some recent results concerning performance and robustness of adaptive controllers for linear stochastic systems. By performance is meant such properties as self-tuning and self-optimization when the system under control satisfies some assumed properties such as being of known order, with a certain spectrum for the noisy disturbance, etc. Under the topic of robustness we analyze the consequences when such idealized properties fail to be met.

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IV. References

  1. P. R. Kumar and P. P. Varaiya, Stochastic Systems: Estimation, Identification and Adaptive Control, Prentice-Hall, 1986.

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  4. S.-F. Lin and P. R. Kumar, “Parameter Convergence in the Goodman-Ramadge-Caines and a Modified Least Squares Adaptive Control Algorithms,” University of Illinois, 1988.

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Norbert Christopeit Kurt Helmes Michael Kohlmann

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© 1989 Springer-Verlag

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Kumar, P.R. (1989). Performance and robustness in adaptive control of linear stochastic systems. In: Christopeit, N., Helmes, K., Kohlmann, M. (eds) Stochastic Differential Systems. Lecture Notes in Control and Information Sciences, vol 126. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0043784

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  • DOI: https://doi.org/10.1007/BFb0043784

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51299-8

  • Online ISBN: 978-3-540-46188-3

  • eBook Packages: Springer Book Archive

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