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作 者:Ting SHI Hongye SU Jian CHU
机构地区:[1]Institute of Automation, Hangzhou Dianzi University [2]State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University (Yuquan Campus)
出 处:《控制理论与应用(英文版)》2013年第1期80-85,共6页
基 金:supported by the National Creative Research Groups Science Foundation of China (No. 60721062);the Foundation of Zhejiang Department of Education (No. Y201121463);National Natural Science Foundation of China (Nos. 61203025, 60974138)
摘 要:In this paper, a new reliable H-infinity filter design problem is proposed for a class of continuous-time sys- tems with sensor saturation and failures. Attention is focused on the analysis and synthesis problems of a full order reliable H-infinity filter such that the filtering error dynamics is asymptotically stable with a guaranteed disturbance rejection atten- uation level -y. It is shown that the filtering error dynamics obtained from the original system plus the filter can be modeled by a linear system with sector bounded nonlinearity. The design conditions are given in terms of solutions to a set of linear matrix inequalities (LMIs). These conditions are then considered in a convex optimization problem with LMIs constraints in order to design an optimal reliable H-infinity filter. A numerical example is given to illustrate the effectiveness of the proposed results.In this paper, a new reliable H-infinity filter design problem is proposed for a class of continuous-time sys- tems with sensor saturation and failures. Attention is focused on the analysis and synthesis problems of a full order reliable H-infinity filter such that the filtering error dynamics is asymptotically stable with a guaranteed disturbance rejection atten- uation level -y. It is shown that the filtering error dynamics obtained from the original system plus the filter can be modeled by a linear system with sector bounded nonlinearity. The design conditions are given in terms of solutions to a set of linear matrix inequalities (LMIs). These conditions are then considered in a convex optimization problem with LMIs constraints in order to design an optimal reliable H-infinity filter. A numerical example is given to illustrate the effectiveness of the proposed results.
关 键 词:H-infinity filtering Reliable filtering Sensor saturation Sensor failures Linear matrix inequality
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