Title :
Nonlinear optimal control: principle of local optimality
Author :
Hayase, Minoru ; Yamazaki, Takanori ; Rijanto, Estiko
Author_Institution :
Control Sci. Lab., Tokyo Univ., Japan
Abstract :
In this paper, it is shown that a nonlinear regulator constructed by using a state-dependent Riccati equation (SDRE) is a local optimal solution of the original optimal control problem. In order to prove this fact, the conventional methods-Lagrange multiplier method, minimum principle and dynamic programming are used-and an idea of the principle of local optimality is introduced by modifying the principle of optimality of dynamic programming.
Keywords :
Riccati equations; control system analysis; dynamic programming; minimum principle; nonlinear control systems; optimal control; Lagrange multiplier method; control simulation; dynamic programming; local optimality principle; minimum principle; nonlinear optimal control; nonlinear regulator; state-dependent Riccati equation; Agriculture; Cities and towns; Cost function; Dynamic programming; Laboratories; Lagrangian functions; Nonlinear control systems; Nonlinear equations; Optimal control; Riccati equations;
Conference_Titel :
Industrial Technology 2000. Proceedings of IEEE International Conference on
Print_ISBN :
0-7803-5812-0
DOI :
10.1109/ICIT.2000.854125