Online Adaptive Optimal Control Based on Reinforcement Learning

Draguna Vrabie () and Frank Lewis ()
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Draguna Vrabie: Automation and Robotics Research Institute, University of Texas at Arlington
Frank Lewis: Automation and Robotics Research Institute, University of Texas at Arlington

A chapter in Optimization and Optimal Control, 2010, pp 309-323 from Springer

Abstract: Summary In this chapter a new online direct adaptive scheme is presented which converges to the optimal state feedback control solution for affine in the inputs nonlinear systems. The optimal control solution is obtained in a direct fashion, without system identification. The optimal adaptive control algorithm is derived in a continuous-time framework. The algorithm is an online approach to policy iterations based on an adaptive critic structure to find an approximate solution to the state feedback, infinite-horizon, optimal control problem.

Keywords: adaptive control; optimal control; dual control; dynamic programming (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-0-387-89496-6_16

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DOI: 10.1007/978-0-387-89496-6_16

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