Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning
Abstract: The state and input constraints of nonlinear systems could greatly impede the realization of their optimal control when using reinforcement learning (RL)-based approaches since the commonly ...
Abstract: This article introduces and analyzes an improved Q-learning algorithm for discrete-time linear time-invariant systems. The proposed method does not require any knowledge of the system ...
The Applied Mathematics Graduate Group is an interdisciplinary group of over 90 faculty and is recognized for the mathematical rigor of its programs and its dynamic research atmosphere. The program is ...
This title is part of a longer publication history. The full run of this journal will be searched. TITLE HISTORY A title history is the publication history of a journal and includes a listing of the ...
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