Design of probabilistic $ l_2-l_\infty $ filter for uncertain Markov jump systems with partial information of the transition probabilities-Reference-Cited by-同舟云学术

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Design of probabilistic $ l_2-l_\infty $ filter for uncertain Markov jump systems with partial information of the transition probabilities

Published:2021 Issue:0 Volume:0 Page:0
ISSN:1553-166X
Container-title:Journal of Industrial & Management Optimization
language:
Short-container-title:JIMO

Author:

Jin Liqiang,Liu Yanqing,Yin Yanyan,Teo Kok Lay,Liu Fei

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Control and Optimization,Strategy and Management,Business and International Management,Applied Mathematics,Control and Optimization,Strategy and Management,Business and International Management

Reference28 articles.

1. N. Abbassi, D. Benboudjema, S. Derrode, W. Pieczynski.Optimal filter approximations in conditionally Gaussian pairwise Markov switching models, IEEE Transactions on Automatic Control, 60 (2015), 1104-1109.

2. S. Aberkane, V. Dragan.$H_\infty$ filtering of periodic Markovian jump systems: Application to filtering with communication constraints, Automatica, 48 (2012), 3151-3156.

3. N. Agrawal, A. Kumar, V. Bajaj, G. K. Singh.Design of bandpass and bandstop infinite impulse response filters using fractional derivative, IEEE Transactions on Industrial Electronics, 66 (2019), 1285-1295.

4. G. C. Calafiore, M. C. Campi.The scenario approach to robust control design, IEEE Transaction on Automatic Control, 51 (2006), 742-753.

5. M. C. Campi, S. Garatti, M. Prandini.The scenario approach for systems and control design, Annual Reviews in Control, 33 (2009), 149-157.

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