caa a22 4500 606204784 CHVBK 20210128101004.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00034-014-9841-2 doi (NATIONALLICENCE)springer-10.1007/s00034-014-9841-2 Reduced-Order Partially Mode-Dependent Energy-to-Peak Filter Design for Discrete-Time Markov Jump Systems Subject to Quantizer Faults and State-Dependent Noises [Elektronische Daten] [Kezhen Han, Jian Feng, Xiaoheng Chang] This paper investigates the reduced-order energy-to-peak filter design problem of discrete-time Markov jump systems with partially unknown transition probabilities, random quantizer faults and state-dependent disturbances. Attention is focused on the design of a reduced-order partially mode-dependent filter to mitigate quantization effect and stochastic disturbance, and ensure a prescribed energy-to-peak noise attenuation level. Via using the partly mode-dependent Lyapunov function, sufficient conditions for the existence of the filter are expressed in terms of linear matrix inequalities. Finally, three numerical examples are provided to demonstrate the effectiveness of the proposed approach. Springer Science+Business Media New York, 2014 Markov jump system nationallicence Reduced-order nationallicence Energy-to-peak filter nationallicence Partially mode-dependent nationallicence Stochastic disturbances nationallicence Han Kezhen School of Information Science and Engineering, Northeastern University, 110819, Shenyang, People's Republic of China aut Feng Jian School of Information Science and Engineering, Northeastern University, 110819, Shenyang, People's Republic of China aut Chang Xiaoheng College of Engineering, Bohai University, 121013, Jinzhou, People's Republic of China aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/1(2015-01-01), 77-103 0278-081X 34:1<77 2015 34 34 https://doi.org/10.1007/s00034-014-9841-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-014-9841-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Han Kezhen School of Information Science and Engineering, Northeastern University, 110819, Shenyang, People's Republic of China aut NATIONALLICENCE 700 1- Feng Jian School of Information Science and Engineering, Northeastern University, 110819, Shenyang, People's Republic of China aut NATIONALLICENCE 700 1- Chang Xiaoheng College of Engineering, Bohai University, 121013, Jinzhou, People's Republic of China aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/1(2015-01-01), 77-103 0278-081X 34:1<77 2015 34 34