Composite anti-disturbance resilient control for Markovian jump nonlinear systems with partly unknown transition probabilities and multiple disturbances

Yankai Li; Haibin Sun; Guangdeng Zong; Linlin Hou

doi:10.1002/rnc.3682

Composite anti-disturbance resilient control for Markovian jump nonlinear systems with partly unknown transition probabilities and multiple disturbances

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.3682 ◽

2016 ◽

Vol 27 (14) ◽

pp. 2323-2337 ◽

Cited By ~ 45

Author(s):

Yankai Li ◽

Haibin Sun ◽

Guangdeng Zong ◽

Linlin Hou

Keyword(s):

Nonlinear Systems ◽

Transition Probabilities ◽

Markovian Jump ◽

Resilient Control ◽

Multiple Disturbances ◽

Partly Unknown Transition Probabilities

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Stabilization for Markovian jump nonlinear systems with partly unknown transition probabilities via fuzzy control

Fuzzy Sets and Systems ◽

10.1016/j.fss.2010.07.007 ◽

2010 ◽

Vol 161 (21) ◽

pp. 2780-2792 ◽

Cited By ~ 46

Author(s):

Li Sheng ◽

Ming Gao

Keyword(s):

Nonlinear Systems ◽

Fuzzy Control ◽

Transition Probabilities ◽

Markovian Jump ◽

Partly Unknown Transition Probabilities

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Less conservative stabilization conditions for Markovian jump systems with partly unknown transition probabilities

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2013.12.023 ◽

2014 ◽

Vol 351 (5) ◽

pp. 3042-3052 ◽

Cited By ~ 14

Author(s):

Sung Hyun Kim

Keyword(s):

Transition Probabilities ◽

Markovian Jump Systems ◽

Markovian Jump ◽

Partly Unknown Transition Probabilities ◽

Jump Systems

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Robust fault detection for discrete-time markovian jump linear systems with partly unknown transition probabilities

2016 35th Chinese Control Conference (CCC) ◽

10.1109/chicc.2016.7553366 ◽

2016 ◽

Author(s):

Jiangbin Shi ◽

Yanyan Yin ◽

Fei Liu

Keyword(s):

Fault Detection ◽

Linear Systems ◽

Discrete Time ◽

Transition Probabilities ◽

Markovian Jump ◽

Jump Linear Systems ◽

Robust Fault Detection ◽

Partly Unknown Transition Probabilities ◽

Markovian Jump Linear Systems

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Robust fault detection for nonlinear discrete-time Markovian jump systems with partly unknown transition probabilities

2016 12th World Congress on Intelligent Control and Automation (WCICA) ◽

10.1109/wcica.2016.7578334 ◽

2016 ◽

Cited By ~ 1

Author(s):

Jiangbin Shi ◽

Yanyan Yin ◽

Fei Liu

Keyword(s):

Fault Detection ◽

Discrete Time ◽

Transition Probabilities ◽

Markovian Jump Systems ◽

Markovian Jump ◽

Robust Fault Detection ◽

Partly Unknown Transition Probabilities ◽

Jump Systems

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Finite-Time Stability Analysis for Markovian Jump Memristive Neural Networks With Partly Unknown Transition Probabilities

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2016.2609148 ◽

2017 ◽

Vol 28 (12) ◽

pp. 2924-2935 ◽

Cited By ~ 47

Author(s):

Ruoxia Li ◽

Jinde Cao

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Finite Time ◽

Transition Probabilities ◽

Memristive Neural Networks ◽

Time Stability ◽

Markovian Jump ◽

Finite Time Stability ◽

Partly Unknown Transition Probabilities

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Mode-dependent H∞ filtering for discrete-time Markovian jump linear systems with partly unknown transition probabilities

Automatica ◽

10.1016/j.automatica.2009.02.002 ◽

2009 ◽

Vol 45 (6) ◽

pp. 1462-1467 ◽

Cited By ~ 329

Author(s):

Lixian Zhang ◽

El-Kébir Boukas

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Transition Probabilities ◽

Markovian Jump ◽

Jump Linear Systems ◽

Partly Unknown Transition Probabilities ◽

Markovian Jump Linear Systems

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ℋ∞ state-feedback control for continuous-time Markovian jump systems with partly unknown transition probabilities(ICCAS 2015)

2015 15th International Conference on Control, Automation and Systems (ICCAS) ◽

10.1109/iccas.2015.7364769 ◽

2015 ◽

Author(s):

In Seok Park ◽

Nam Kyu Kwon ◽

PooGyeon Park

Keyword(s):

Feedback Control ◽

Continuous Time ◽

State Feedback ◽

Transition Probabilities ◽

State Feedback Control ◽

Markovian Jump Systems ◽

Markovian Jump ◽

Partly Unknown Transition Probabilities ◽

Jump Systems

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Stochastic stability for impulsive discrete-time Markovian jump systems with time-varying delay and partly unknown transition probabilities

2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems ◽

10.1109/cyber.2013.6705459 ◽

2013 ◽

Author(s):

Gai Sun ◽

Yu Zhang

Keyword(s):

Discrete Time ◽

Stochastic Stability ◽

Transition Probabilities ◽

Markovian Jump Systems ◽

Time Varying ◽

Markovian Jump ◽

Time Varying Delay ◽

Partly Unknown Transition Probabilities ◽

Jump Systems ◽

Varying Delay

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Robust stability of Markovian jump discrete-time neural networks with partly unknown transition probabilities and mixed mode-dependent delays

International Journal of Systems Science ◽

10.1080/00207721.2011.600472 ◽

2013 ◽

Vol 44 (2) ◽

pp. 252-264 ◽

Cited By ~ 7

Author(s):

Li Sheng ◽

Ming Gao

Keyword(s):

Neural Networks ◽

Robust Stability ◽

Discrete Time ◽

Mixed Mode ◽

Transition Probabilities ◽

Markovian Jump ◽

Partly Unknown Transition Probabilities

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Finite-time stability of Markovian jump neural networks with partly unknown transition probabilities

Neurocomputing ◽

10.1016/j.neucom.2015.01.033 ◽

2015 ◽

Vol 159 ◽

pp. 282-287 ◽

Cited By ~ 20

Author(s):

Xing Xing ◽

Deyin Yao ◽

Qing Lu ◽

Xinchen Li

Keyword(s):

Neural Networks ◽

Finite Time ◽

Transition Probabilities ◽

Time Stability ◽

Markovian Jump ◽

Finite Time Stability ◽

Partly Unknown Transition Probabilities ◽

Markovian Jump Neural Networks

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