Stochastic boundedness filter design for Markovian jump linear systems with guaranteed H∞ filtering performance
Stochastic boundedness filter design for Markovian jump linear systems with guaranteed H∞ filtering performance
复制标题
马尔可夫跳跃线性系统的随机有界滤波器设计,保证 H 滤波性能
DOI:
10.1177/0142331216645177
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发表时间:
2017-11
影响因子:
1.8
通讯作者:
Sheng Liu
中科院分区:
文献类型:
--
作者:
Yuchao Wang;Huixuan Fu;Sheng Liu
This paper concerns the filtering problem for a class of continuous-time Markovian jump linear systems, where the Markovian jump is supposed to frequently occur in some short time intervals. For this class of Markovian jump system, the boundedness of estimation error deserves our investigation. By introducing the concepts of stochastic boundedness with respect to a finite-time interval, an observer ensuring the estimation error bounded in a prescribed boundary is constructed and the result is extended to the H ∞ filtering problem with norm bounded disturbances. By formulating an optimization algorithm, we derive the optimal H ∞ stochastic boundedness filter with an an optimized convex combination of estimation error boundary and H ∞ performance index. We propose a design algorithm for when parameter optimization is involved. Numerical design examples are given to illustrate the effectiveness of our results.
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DOI:
10.1016/s0076-5392(08)x6039-4
发表时间:
2012-01
期刊:
--
影响因子:
--
作者:
H. Kushner
通讯作者:
H. Kushner
影响因子:
2.6
作者:
Luan, X.;Liu, F.;Shi, P.
通讯作者:
Shi, P.
DOI:
10.1007/s12555-014-0005-8
发表时间:
2014-10
期刊:
International Journal of Control, Automation and Systems
影响因子:
--
作者:
Chen Qin;Z. Xiang;H. Karimi
通讯作者:
Chen Qin;Z. Xiang;H. Karimi
影响因子:
6.8
作者:
C. E. Souza;A. Trofino;Karina A. Barbosa
通讯作者:
C. E. Souza;A. Trofino;Karina A. Barbosa
影响因子:
6.4
作者:
Amato, F;Ariola, M;Cosentino, C
通讯作者:
Cosentino, C