作者: K. Ohno
关键词: Dynamic programming 、 Mathematical optimization 、 Reactive programming 、 Discrete time and continuous time 、 Constraint programming 、 Criss-cross algorithm 、 Differential dynamic programming 、 Optimal control 、 Mathematics 、 State variable
摘要: This paper proposes a new differential dynamic programming algorithm for solving discrete time optimal control problems with equality and inequality constraints on both state variables proves its convergence. The present is different from algorithms developed in [10]-[15], which can hardly solve whose convergence has not been proved. Composed of iterative methods systems nonlinear equations, it based upon Kuhn-Tucker conditions recurrence relations programming. Numerical examples show file efficiency the algorithm.