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Augmented gradient flows for on-line robust pole assignment via state and output feedback


Jiang, D and Wang, J, Augmented gradient flows for on-line robust pole assignment via state and output feedback, Automatica , 38, (2) pp. 279-286. ISSN 0005-1098 (2002) [Refereed Article]

DOI: doi:10.1016/S0005-1098(01)00200-X


This paper is concerned with robust pole assignment in synthesis of linear control systems via state and output feedbacks. First, both the pole assignment and robustness requirements are appropriately formulated as two optimization problems. Then, gradient flow models are developed for the on-line computation of feedback gain matrices that result in robust pole assignment by solving these two optimization problems. A technique is introduced to facilitate the real-time matrix inverse involved for realizing the gradient flow models. The resulting augmented gradient flows have desired convergence properties. Simulation results are included to show the effectiveness of the proposed approach. © 2001 Elsevier Science Ltd. All rights reserved.

Item Details

Item Type:Refereed Article
Research Division:Mathematical Sciences
Research Group:Applied mathematics
Research Field:Calculus of variations, mathematical aspects of systems theory and control theory
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy systems and analysis
UTAS Author:Jiang, D (Dr Danchi Jiang)
ID Code:34361
Year Published:2002
Web of Science® Times Cited:22
Deposited By:Engineering
Deposited On:2005-08-01
Last Modified:2005-08-01

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