Title :
Optimal control of nonlinear systems with model-reality differences
Author_Institution :
Control Eng. Centre, City Univ., London, UK
Abstract :
Dynamic integrated system optimization and parameter estimation (DISOPE) is used to develop a method for solving nonlinear optimal control problems where the model employed to compute the optimal solution is different from reality. An iterative procedure is described which achieves the correct real solution despite model-reality differences. Results which extend earlier work on steady-state optimal control under model-reality differences to dynamic optimal control are presented
Keywords :
iterative methods; nonlinear systems; optimal control; optimisation; parameter estimation; dynamic integrated system optimisation; dynamic optimal control; model-reality differences; nonlinear optimal control; nonlinear systems; parameter estimation; Control engineering; Electrical equipment industry; Equations; Industrial control; Nonlinear dynamical systems; Nonlinear systems; Optimal control; Optimization methods; Parameter estimation; Steady-state;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371744
