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Augmented gradient flows for on-line robust pole assignment via state and output feedback
journal contribution
posted on 2023-05-16, 16:37 authored by Jiang, D, Wang, JThis 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.
History
Publication title
AutomaticaVolume
38Pagination
279-286ISSN
0005-1098Department/School
School of EngineeringPublisher
PergamonPlace of publication
United KingdomRepository Status
- Restricted