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. © Springer International Publishing Switzerland 2014.
CITATION STYLE
Sassano, M., & Astolfi, A. (2014). Approximate Solution of HJBE and Optimal Control in Internal Combustion Engines. In Lecture Notes in Control and Information Sciences (Vol. 455 LNCIS, pp. 59–73). Springer Verlag. https://doi.org/10.1007/978-3-319-05371-4_4
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