Time-Delay Systems: Analysis, Optimization and Applications
Time-Delay Systems: Analysis, Optimization and Applications
Self-teaching adaptive dynamic programming for Gomoku
Neurocomputing
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
DHP Method for Ramp Metering of Freeway Traffic
IEEE Transactions on Intelligent Transportation Systems
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In this paper, an effective iterative algorithm is proposed to deal with the optimal control problem of a class of nonlinear discrete-time delay systems. We define a meaningful performance index function to removing the disturbance of time delay terms. The iterative Dual Heuristic Programming (DHP) algorithm is introduced to design the optimal controller. Three neural networks are chosen to facilitate the implementation of the algorithm, which approximate the performance index function, the optimal control policy and the nonlinear delay system, respectively. A simulation example is given to demonstrate the validity of the proposed optimal control approach. For time-variant delay, this iterative algorithm shows the improved performance compared with other methods.