Optimal trajectory Output Tracking control with a Q-learning algorithm

Abstract

In this paper a novel Q-learning algorithm is proposed to solve the Linear Quadratic Output Tracking (LQOT) control problem of a linear time invariant system with completely unknown system and reference dynamics. We first define an action-dependent value function for the LQOT problem after we augment the system and the reference states and pick… (More)
DOI: 10.1109/ACC.2016.7526571

Topics

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