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Adaptive Control Design and Analysis by Gang Tao

By Gang Tao

Perceiving a necessity for a scientific and unified figuring out of adaptive keep watch over idea, electric engineer Tao provides and analyzes universal layout techniques with the purpose of protecting the basics and cutting-edge of the sphere. Chapters hide structures concept, adaptive parameter estimation, adaptive nation suggestions keep watch over, continuous-time version reference adaptive regulate, discrete-time version reference adaptive regulate, oblique adaptive keep an eye on, multivariable adaptive keep watch over, and adaptive keep an eye on of platforms with nonlinearities.

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P. Jiang. Adaptive dynamic programming and optimal control of nonlinear nonaffine systems. Automatica, 50(10):2624–2632, October 2014. [6] K. Doya. Reinforcement learning in continuous time and space. Neural Computation, 12(1):219–245, 2000. [7] R. Howard. Dynamic Programming and Markov Processes. MIT Press, Cambridge, MA, 1960. [8] Y. Jiang and Z. P. Jiang. Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics. Automatica, 48(10):2699–2704, 2012.

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N. Saridis, and J. T. Wen. Galerkin approximations of the generalized Hamilton-Jacobi-Bellman equation. Automatica, 33(12):2159–2177, 1997. [3] R. E. Bellman. Dynamic Programming. Princeton University Press, Princeton, NJ, 1957. [4] D. P. Bertsekas. Dynamic Programming and Optimal Control, 4th ed. Athena Scientific, Belmont, MA, 2007. [5] T. Bian, Y. Jiang, and Z. P. Jiang. Adaptive dynamic programming and optimal control of nonlinear nonaffine systems. Automatica, 50(10):2624–2632, October 2014.

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