Optimal control problems naturally arise in several kinds of applications, including automotive systems. Unfortunately, the solution of such problems--which hinges upon a partial differential differential equation, the so-called Hamilton-Jacobi-Bellman (HJB) pde--might be hard or even impossible to determine in practice. Herein, introducing the notion of Dynamic Value function, we propose a novel technique that consists in the immersion of the given model into an extended state-space in which the solution may be defined in a constructive manner. This leads to a dynamic control law that approximates the optimal policy. The proposed approach is validated by means of a case study arising from the field of combustion engines, namely optimal control of the torque and the speed of a test bench.


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    Title :

    Approximate Solution of HJBE and Optimal Control in Internal Combustion Engines


    Contributors:


    Publication date :

    2014


    Size :

    15 Seiten





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Print


    Language :

    English




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