Frequency-domain design of PID controllers for stable and unstable systems with time delay
Automatica (Journal of IFAC)
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 Signal Processing
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
Fuzzy H∞ Filter Design for a Class of Nonlinear Discrete-Time Systems With Multiple Time Delays
IEEE Transactions on Fuzzy Systems
Automatica (Journal of IFAC)
IEEE Transactions on Neural Networks - Part 1
DHP Method for Ramp Metering of Freeway Traffic
IEEE Transactions on Intelligent Transportation Systems
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The paper proposes a novel iterative control scheme based on neural networks for optimally controlling a large class of nonlinear discrete-time systems affected by an unknown time variant delay and system uncertainties. An iterative Dual Heuristic dynamic Programming (DHP) algorithm has been envisaged to design the controller which is proven to converge to the optimal one. The key elements required by the DHP, namely the performance index function, the optimal control policy and the nonlinear delay-affected discrete-time system are modeled with feedforward neural networks. Examples demonstrate the validity of the proposed optimal control approach and its effectiveness in dealing with nonlinear time delay situations.