Reinforcement Learning based Output-Feedback Controller for Complex Nonlinear Discrete-time Systems

Abstract

A novel reinforcement-learning based output-adaptive neural network (NN) controller, also referred as the adaptive-critic NN controller, is developed to track a desired trajectory for a class of complex feedback nonlinear discrete-time systems in the presence of bounded and unknown disturbances. This nonlinear discrete-time system consists of a second order… (More)
DOI: 10.1109/ISIC.2007.4450920

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