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Robust Adaptive Dynamic Programming for Large-Scale Systems With an Application to Multimachine Power Systems

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2 Author(s)
Yu Jiang ; Dept. of Electr. & Comput. Eng., Polytech. Inst. of New York Univ., Brooklyn, NY, USA ; Zhong-Ping Jiang

This brief presents a new approach to decentralized control design of complex systems with unknown parameters and dynamic uncertainties. A key strategy is to use the theory of robust adaptive dynamic programming and the policy iteration technique. An iterative control algorithm is given to devise a decentralized optimal controller that globally asymptotically stabilizes the system in question. Stability analysis is accomplished by means of the small-gain theorem. The effectiveness of the proposed computational control algorithm is demonstrated via the online learning control of multimachine power systems with governor controllers.

Published in:

Circuits and Systems II: Express Briefs, IEEE Transactions on  (Volume:59 ,  Issue: 10 )

Date of Publication:

Oct. 2012

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