Approximate Dynamic Programming Solution for the Optimal NOx/PM Trade-off Control of a WAPS Engine
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资源说明:Approximate dynamic programming is an effective optimal control method. This paper researches a data-driven approximate dynamic programming. The method is extended to a nonlinear multi-input multi-output form. Using the data from a unique 4JB1-T WAPS engine, the developed approximate dynamic programming controller is trained to achieve its optimal trade-off emission control between the NOx and PM. The convergent proof of this method is given. The second-order training algorithm is introduced to
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