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Robust H∞ filtering for uncertain discrete-time fuzzy stochastic systems with sensor nonlinearities and time-varying delay
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نویسنده
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hua m. ,cheng p. ,fei j. ,zhang j. ,chen j.
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منبع
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journal of applied mathematics - 2012 - دوره : 2012 - شماره : 0
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چکیده
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The robust filtering problem for a class of uncertain discrete-time fuzzy stochastic systems with sensor nonlinearities and time-varying delay is investigated. the parameter uncertainties are assumed to be time varying norm bounded in both the state and measurement equations. by using the lyapunov stability theory and some new relaxed techniques,sufficient conditions are proposed to guarantee the robustly stochastic stability with a prescribed h∞ performance level of the filtering error system for all admissible uncertainties,sensor nonlinearities,and time-varying delays. these conditions are dependent on the lower and upper bounds of the time-varying delays and are obtained in terms of a linear matrix inequality (lmi). finally,two simulation examples are provided to illustrate the effectiveness of the proposed methods. © 2012 mingang hua et al.
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آدرس
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college of computer and information,hohai university,changzhou 213022,china,changzhou key laboratory of sensor networks and environmental sensing,changzhou 213022,china,jiangsu key laboratory of power transmission and distribution equipment technology, China, school of mathematical sciences,anhui university, China, college of computer and information,hohai university, China, department of mathematics and physics,hohai university, China, college of computer and information,hohai university, China
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Authors
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