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Neural dynamic optimization for control systems.III. Applications

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2 Author(s)
Chang-Yun Seong ; Dept. of Electr. Eng., Stanford Univ., CA, USA ; Widrow, B.

For pt.II. see ibid., p. 490-501. The paper presents neural dynamic optimization (NDO) as a method of optimal feedback control for nonlinear multi-input-multi-output (MIMO) systems. The main feature of NDO is that it enables neural networks to approximate the optimal feedback solution whose existence dynamic programming (DP) justifies, thereby reducing the complexities of computation and storage problems of the classical methods such as DP. This paper demonstrates NDO with several applications including control of autonomous vehicles and of a robot-arm, while the two other companion papers of this topic describes the background for the development of NDO and present the theory of the method, respectively

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Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on  (Volume:31 ,  Issue: 4 )