摘要:This article considers the problem of sub-optimal control design problem for second order non-linear systems. Traditionally, the computation of optimal control law(s) for non-linear systems is usually done using the iterative methods based on the standard tools of optimal control theory which viz. Calculus of Variations (CoV), Hamilton-Jacobi-Bellman equation, Pontryagin’s principle, etc. This work utilizes the rather less explored technique, namely the Krotov framework to obtain the non-iterative solutions. These conditions are derived by transforming the optimal control problem into another equivalent optimization problem. This translation is done via an ad-hoc selection of the so-called Krotov function. In this article, the Krotov function is chosen such that the equivalent optimization problem can be solved non-iteratively to obtain sub-optimal control laws for the original optimal control problem. The proposed methodology is demonstrated by a numerical example.
关键词:Sub-optimal control design;linear Krotov functions;second order non-linear systems