DocumentCode :
2468009
Title :
On the Pseudospectral Covector Mapping Theorem for Nonlinear Optimal Control
Author :
Gong, Qi ; Ross, I. Michael ; Kang, Wei ; Fahroo, Fariba
Author_Institution :
Dept. of Elec. & Comp. Engr., Univ. of Texas, San Antonio, TX
fYear :
2006
fDate :
13-15 Dec. 2006
Firstpage :
2679
Lastpage :
2686
Abstract :
In recent years, a large number of nonlinear optimal control problems have been solved by pseudospectral (PS) methods. In an effort to better understand the PS approach to solving control problems, we present convergence results for problems with mixed state and control constraints. A set of sufficient conditions are proved under which the solution of the discretized optimal control problem converges to the continuous solution. Conditions for the convergence of the duals are described and illustrated. This leads to a clarification of covector mapping theorem and its connections to constraint qualifications
Keywords :
nonlinear control systems; optimal control; nonlinear optimal control; pseudospectral covector mapping; Convergence; Differential equations; Feedback; Nonlinear equations; Nonlinear systems; Optimal control; Problem-solving; Software packages; Sufficient conditions; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
Type :
conf
DOI :
10.1109/CDC.2006.377729
Filename :
4177238
Link To Document :
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