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LMI-Based Generation of Feedback Laws for a Robust Model Predictive Control AlgorithmThis technical note provides a mathematical proof of Corollary 1 from the paper 'A Nonlinear Model Predictive Control Algorithm with Proven Robustness and Resolvability' that appeared in the 2006 Proceedings of the American Control Conference. The proof was omitted for brevity in the publication. The paper was based on algorithms developed for the FY2005 R&TD (Research and Technology Development) project for Small-body Guidance, Navigation, and Control [2].The framework established by the Corollary is for a robustly stabilizing MPC (model predictive control) algorithm for uncertain nonlinear systems that guarantees the resolvability of the associated nite-horizon optimal control problem in a receding-horizon implementation. Additional details of the framework are available in the publication.
Document ID
20080008524
Acquisition Source
Jet Propulsion Laboratory
Document Type
Other
External Source(s)
Authors
Acikmese, Behcet
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Carson, John M., III
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 24, 2013
Publication Date
September 17, 2007
Subject Category
Mathematical And Computer Sciences (General)
Report/Patent Number
JPL D-40295
Distribution Limits
Public
Copyright
Other
Keywords
algorithms
model predictive control (MPC)

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