LEARNING
Semi-global Feedback Control System Design in an Unknown Plane at an Unknown Destination
Hideyuki AKIBA, Hisakazu Nakamura, Nami Nakamura
- Year
- 2014
- Citations
- 2
- Access
- Open access
Abstract
In this paper, we consider a stabilization problem of a mobile robot in an unknown plane at an unknown destination. For the problem, we propose a reinforcement learning based feedback controller design method on the unknown plane. We can design a semi-global CLF with an optimal action-value function obtained by reinforcement learning and local CLFs via multilayer minimum projection method. The feedback controller is designed by the semi-global CLF. The effectiveness of the proposed method is shown by computer simulation.
Keywords
Reinforcement learningControl theory (sociology)Controller (irrigation)Computer sciencePlane (geometry)Bellman equationMobile robotProjection (relational algebra)Control (management)Robot
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