Meta-heuristic interval methods of search of optimal in average control of nonlinear determinate systems with incomplete information about its parameters

This work considers algorithms of optimal control of nonlinear continuous determinate systems with feedback by the output variables with incomplete information about its parameters. It is proposed to determine optimal in average control in the form of decomposition by basis functions. Metaheuristic interval optimization methods (adaptive interval algorithm, interval explosion search and interval genetic algorithm) are used to find decomposition coefficients. Proposed algorithms are implemented in a form of software complex which was used to solve the interception problem.