A locally computed suboptimal control strategy for a class of interconnected systems
A locally computed suboptimal control strategy for a class of interconnected systems is introduced. First, optimal state-feedback control equations are derived for a finite-horizon quadratic cost. Then, the control for each subsystem is separated into two portions. The first portion stabilizes the isolated subsystem, and the second portion corresponds to the interactions. To achieve a locally calculable control, an approximation to the optimal control equations is introduced, and two iterative suboptimal control algorithms are developed. In the first algorithm, the initial conditions of subsystems are assumed to be known; in the second algorithm, this information is replaced by statistical distributions. The orders of errors in the iterations of the algorithm and in the suboptimality are given in terms of interconnection norms. An example with comparisons is also included to show the performance of the approach.
scientific article; zbMATH DE number 4062913
scientific article