Title :
Sensitivity-constrained linear optimal control forced singular perturbation model reduction
Author :
Sesak, J.R. ; Higgins, T.J.
Author_Institution :
Guidance and Control Dyamics, San Diego, California
Abstract :
A new approach to parameter desensitized optimal control is presented. This approach, which is based on forced singular perturbation model reduction, is different from the usual desensitization techiques in that it avoids realization problems - a well posed optimization problem always results, employs no sensitivity function generators, and requires no state vector augmentation.
Keywords :
Algorithm design and analysis; Equations; Force control; Optimal control; Performance analysis; Perturbation methods; Read only memory; Reduced order systems; Regulators; Signal generators;
Conference_Titel :
Decision and Control including the 17th Symposium on Adaptive Processes, 1978 IEEE Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/CDC.1978.268113
