A menu of designs for reinforcement learning over time
Neural networks for control
Asynchronous Stochastic Approximation and Q-Learning
Machine Learning
Adaptive Control
Neural Network Control of Robot Manipulators and Nonlinear Systems
Neural Network Control of Robot Manipulators and Nonlinear Systems
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Dynamic Programming
SIAM Journal on Control and Optimization
Reinforcement learning-based output feedback control of nonlinear systems with input constraints
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive Critic Designs for Discrete-Time Zero-Sum Games With Application to Control
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Direct Heuristic Dynamic Programming for Damping Oscillations in a Large Power System
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Automatica (Journal of IFAC)
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
Guest Editorial Special Issue on Neural Networks for Feedback Control Systems
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Neurodynamic Programming and Zero-Sum Games for Constrained Control Systems
IEEE Transactions on Neural Networks
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This paper makes use of the direct heuristic dynamic programming design in a nonlinear tracking control setting with filtered tracking error. A Lyapunov stability approach is used for the stability analysis of the tracking system. It is shown that the closed-loop tracking error and the approximating neural network weight estimates retain the property of uniformly ultimate boundedness under the presence of neural network approximation error and bounded unknown disturbances under certain conditions.