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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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