Abstract:
We consider a method for the approximate solution of solvability and control synthesis problems for a nonlinear autonomous system of ordinary differential equations on a fixed time interval. The proposed method is based on the hybridization of equations and passage to equivalent problems for a piecewise linear system. Next, the value function is constructed as an approximate solution of the Hamilton–Jacobi–Bellman equation, and the comparison principle is applied. The solution is chosen from the class of piecewise quadratic functions. To improve the accuracy of the method, the value function is assumed to have discontinuities on certain sets in the state space. We propose a numerical algorithm for feedback control computation and obtain an a priori estimate for the error of reaching the target set for the original nonlinear system.
Keywords:nonlinear dynamics, control synthesis, dynamic programming, comparison principle, linearization, switched system, piecewise quadratic value function.