Neuro-Dynamic Programming
Handbook of Learning and Approximate Dynamic Programming (IEEE Press Series on Computational Intelligence)
Neural Network Control of Nonlinear Discrete-Time Systems (Public Administration and Public Policy)
Neural Network Control of Nonlinear Discrete-Time Systems (Public Administration and Public Policy)
A fuzzy Actor-Critic reinforcement learning network
Information Sciences: an International Journal
IEEE Transactions on Neural Networks
Reinforcement learning and adaptive dynamic programming for feedback control
IEEE Circuits and Systems Magazine
A new approach for neural control of nonlinear discrete dynamic systems
Information Sciences: an International Journal
A modified gradient-based neuro-fuzzy learning algorithm and its convergence
Information Sciences: an International Journal
Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization
Information Sciences: an International Journal
Self-organizing state aggregation for architecture design of Q-learning
Information Sciences: an International Journal
Optimal control for a class of unknown nonlinear systems via the iterative GDHP algorithm
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Example-based learning particle swarm optimization for continuous optimization
Information Sciences: an International Journal
Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Automatica (Journal of IFAC)
IEEE Transactions on Neural Networks
Online learning control by association and reinforcement
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Control of nonlinear dynamical systems using neural networks: controllability and stabilization
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Application of IFT and SPSA to Servo System Control
IEEE Transactions on Neural Networks - Part 2
Information Sciences: an International Journal
Information Sciences: an International Journal
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In this paper, the adaptive dynamic programming (ADP) approach is employed for designing an optimal controller of unknown discrete-time nonlinear systems with control constraints. A neural network is constructed for identifying the unknown dynamical system with stability proof. Then, the iterative ADP algorithm is developed to solve the optimal control problem with convergence analysis. Two other neural networks are introduced for approximating the cost function and its derivatives and the control law, under the framework of globalized dual heuristic programming technique. Furthermore, two simulation examples are included to verify the theoretical results.