Volume 14, Issue 2 (5-2014)
Modares Mechanical Engineering 2014, 14(2): 128-132 |
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Masoumnezhad M, Moafi A, Jamali A, Nariman-zadeh N. Optimal Design of Mixed Kalman-H infinity Filter Using Multi-objective Optimization Method. Modares Mechanical Engineering 2014; 14 (2) :128-132
URL: http://mme.modares.ac.ir/article-15-238-en.html
URL: http://mme.modares.ac.ir/article-15-238-en.html
Abstract: (8661 Views)
Dynamic model identification and state variables estimation from the corrupted measurement data have been attracted much research efforts during the recent years. In this way, Kalman and H-infinity filters have been increasingly used to estimate the parameters individually. In this paper, a mixed kalman-H_∞ filter is designed in an innovative approach using a multi-objective optimization method. It is desired to simultaneously employ the advantages of both filters to minimize both the root-mean squared errors and the upper bounds limit of estimation errors associated with Kalman and H-infinity filters, respectively. Some Pareto optimum design points are presented for two case studies from which trade-off optimum design points can be simply selected.
Keywords: Kalman filter, H infinityFilter, Mixed Kalman-H infinity Filter, State Estimation, multi-objective optimization
Article Type: Research Article |
Subject:
Control
Received: 2013/03/23 | Accepted: 2013/07/8 | Published: 2014/04/20
Received: 2013/03/23 | Accepted: 2013/07/8 | Published: 2014/04/20
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