A menu of designs for reinforcement learning over time
Neural networks for control
Neuro-Dynamic Programming
Dynamic Programming
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Adaptive Critic Designs for Discrete-Time Zero-Sum Games With Application to Control
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive Critic Learning Techniques for Engine Torque and Air–Fuel Ratio Control
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Intelligent supply chain management using adaptive critic learning
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Automatica (Journal of IFAC)
IEEE Transactions on Neural Networks
Online learning control by association and reinforcement
IEEE Transactions on Neural Networks
Helicopter trimming and tracking control using direct neural dynamic programming
IEEE Transactions on Neural Networks
A self-learning call admission control scheme for CDMA cellular networks
IEEE Transactions on Neural Networks
Continuous-Time Adaptive Critics
IEEE Transactions on Neural Networks
Robust/Optimal Temperature Profile Control of a High-Speed Aerospace Vehicle Using Neural Networks
IEEE Transactions on Neural Networks
Fixed-Final-Time-Constrained Optimal Control of Nonlinear Systems Using Neural Network HJB Approach
IEEE Transactions on Neural Networks
Adaptive dynamic programming: an introduction
IEEE Computational Intelligence Magazine
A transductive neuro-fuzzy controller: application to a drilling process
IEEE Transactions on Neural Networks
Automatica (Journal of IFAC)
Information Sciences: an International Journal
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Optimal tracking control for a class of nonlinear time-delay systems with actuator saturation
BICS'13 Proceedings of the 6th international conference on Advances in Brain Inspired Cognitive Systems
Adaptive NN control for a class of chemical reactor systems
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Engineering Applications of Artificial Intelligence
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In this paper, the near-optimal control problem for a class of nonlinear discrete-time systems with control constraints is solved by iterative adaptive dynamic programming algorithm. First, a novel nonquadratic performance functional is introduced to overcome the control constraints, and then an iterative adaptive dynamic programming algorithm is developed to solve the optimal feedback control problem of the original constrained system with convergence analysis. In the present control scheme, there are three neural networks used as parametric structures for facilitating the implementation of the iterative algorithm. Two examples are given to demonstrate the convergence and feasibility of the proposed optimal control scheme.