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Krein space approach to robust H_∞ filtering for linear uncertain systems

Krein space approach to robust H_∞ filtering for linear uncertain systems
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摘要 A novel Krein space approach to robust H∞ filtering for linear uncertain systems is developed. The parameter uncertainty, entering into both states and measurement equations, satisfies an energy-type constraint. Then a Krein space approach is used to tackle the robust H∞ filtering problem. To this end, a new Krein space formal system is designed according to the original sum quadratic constraint (SQC) without introducing any nonzero factors into it and, consequently, the estimate recursion is obtained through the filter gain in Krein space. Finally, a numerical example is given to demonstrate the effectiveness of the proposed approach. A novel Krein space approach to robust H∞ filtering for linear uncertain systems is developed. The parameter uncertainty, entering into both states and measurement equations, satisfies an energy-type constraint. Then a Krein space approach is used to tackle the robust H∞ filtering problem. To this end, a new Krein space formal system is designed according to the original sum quadratic constraint (SQC) without introducing any nonzero factors into it and, consequently, the estimate recursion is obtained through the filter gain in Krein space. Finally, a numerical example is given to demonstrate the effectiveness of the proposed approach.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第4期596-602,共7页 系统工程与电子技术(英文版)
基金 supported by the National Natural Science Foundation of China (51179039) the Ph.D. Programs Foundation of Ministry of Education of China (20102304110021)
关键词 linear uncertain system sum quadratic constraint(SQC) robust H∞ filtering Krein space linear estimation. linear uncertain system, sum quadratic constraint(SQC), robust H∞ filtering, Krein space linear estimation.
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