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- W4288335418 abstract "This work presents a suboptimality study of a particular model predictive control with a stage cost shaping based on the ideas of reinforcement learning. The focus of the suboptimality study is to derive quantities relating the infinite-horizon cost function under the said variant of model predictive control to the respective infinite-horizon value function. The basis control scheme involves usual stabilizing constraints comprising of a terminal set and a terminal cost in the form of a local Lyapunov function. The stage cost is adapted using the principles of Q-learning, a particular approach to reinforcement learning. The work is concluded by case studies with two systems for wide ranges of initial conditions." @default.
- W4288335418 created "2022-07-29" @default.
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- W4288335418 date "2019-06-06" @default.
- W4288335418 modified "2023-09-25" @default.
- W4288335418 title "Model predictive control with stage cost shaping inspired by reinforcement learning" @default.
- W4288335418 doi "https://doi.org/10.48550/arxiv.1906.02580" @default.
- W4288335418 hasPublicationYear "2019" @default.
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