Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems.

IEEE Transactions on Cybernetics(2016)

引用 405|浏览344
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摘要
In this paper, a value iteration adaptive dynamic programming (ADP) algorithm is developed to solve infinite horizon undiscounted optimal control problems for discrete-time nonlinear systems. The present value iteration ADP algorithm permits an arbitrary positive semi-definite function to initialize the algorithm. A novel convergence analysis is developed to guarantee that the iterative value func...
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关键词
Iterative algorithms,Optimal control,Dynamic programming,Heuristic algorithms,Nonlinear systems,Convergence,Performance analysis
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