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References
19. Zhang L, Boukas EK (2009) H ∞ control of a class of extend Markov jump linear systems.
IET Control Theory Appl 3(7):834–842
20. Fei Z, Gao H, Shi P (2009) New results on stabilization of Markovian jump systems with time
delay. Automatica 45(10):2300–2306
21. He S, Liu F (2011) Robust stabilization of stochastic Markovian jumping systems via proportional integral control. Signal Process 91(11):2478–2486
22. Wu Z, Shi P, Su H, Chu J (2013) Stochastic synchronization of Markovian jump neural
networks with time-varying delay using sampled-data. IEEE Trans Cybern 43(6):1796–1806
23. Shen M, Fei S (2015) A constructive method to static output stabilisation of Markov jump
systems. Int J Control 88(5):990–1000
24. Qiu J, Wei Y, Karimi HR (2015) New approach to delay-dependent H ∞ control for continuoustime Markovian jump systems with time-varying delay and deficient transition descriptions.
J Frankl Inst: Eng Appl Math 352(1):189–215
25. He S, Song J, Ding Z, Liu F (2015) Online adaptive optimal control for continuous-time
Markov jump linear systems using a novel policy iteration algorithm. IET Control Theory
Appl 9(10):1536–1543
26. Shen H, Li F, Xu S, Sreeram V (2018) Slow state variables feedback stabilization for semiMarkov jump systems with singular perturbations. IEEE Trans Autom Control 63(8):2709–
2714
27. Shen H, Li F, Yan H, Karimi HR, Lam HK (2018) Finite-time event-triggered H ∞ control for
T-S fuzzy Markov jump systems. IEEE Trans Fuzzy Syst 26(5):3122–3135
28. Shen H, Men Y, Wu Z, Cao J, Lu G (2019) Network-based quantized control for fuzzy
singularly perturbed semi-Markov jump systems and its application. IEEE Trans Circuits
Syst I: Regul Pap 66(3):1130–1140
29. Shen H, Li F, Wu Z, Park JuH, Sreeram V (2018) Fuzzy-model-based non-fragile control
for nonlinear singularly perturbed systems with semi-Markov jump parameters. IEEE Trans
Fuzzy Syst 26(6):3428–3439
30. Shen H, Men Y, Wu Z, Park JuH (2018) Nonfragile H ∞ control for fuzzy Markovian
jump systems under fast sampling singular perturbation. IEEE Trans Syst Man Cybern Syst
48(12):2058–2069
31. Cheng J, Park JH, Karimi HR, Shen H (2018) A flexible terminal approach to sampleddata exponentially synchronization of Markovian neural networks with time-varying delayed
signals. IEEE Trans Cybern 48(8):2232–2244
32. Cheng J, Chang  (2018) X, Park Ju H, Fuzzy-model-based H ∞ control for discrete-time
switched systems with quantized feedback and unreliable links. Inf Sci 436–437:181–196
33. Jiang B, Karimi HR, Kao Y, Gao C (2018) A novel robust fuzzy integral sliding mode control
for nonlinear semi-Markovian jump T-S fuzzy systems. IEEE Trans Fuzzy Syst 26(6):3594–
3604
34. Jiang B, Kao Y, Karimi HR, Gao C (2018) Stability and stabilization for singular switching
semi-Markovian jump systems with generally uncertain transition rates. IEEE Trans Autom
Control 63(11):3919–3926
35. Wang Y, Xia Y, Shen H, Zhou P (2018) SMC design for robust stabilization of nonlinear
Markovian jump singular systems. IEEE Trans Autom Control 63(1):219–224
36. Liu J, Wei L, Xie X, Tian E, Fei S (2018) Quantized stabilization for T-S fuzzy systems with
hybrid-triggered mechanism and stochastic cyber attacks. IEEE Trans Fuzzy Syst 26(6):3820–
3834
37. Luan X, Huang B, Liu F (2018) Higher order moment stability region for Markov jump
systems based on cumulant generating function. Automatica 93:389–396
38. Luan X, Shi P, Liu F (2018) Given-time multiple frequency control for Markov jump systems
based on derandomization. Inf Sci 451–452:124–142
39. Luan X, Zhao S, Liu F (2013) H ∞ control for discrete-time Markov jump systems with
uncertain transition probabilities. IEEE Trans Autom Control 58(6):1566–1572
40. Ma Y, Jia X, Liu D (2016) Robust finite-time H ∞ control for discrete-time singular Markovian
jump systems with time-varying delay and actuator saturation. Appl Math Comput 286:213–
227
References
19. Zhang L, Boukas EK (2009) H ∞ control of a class of extend Markov jump linear systems.
IET Control Theory Appl 3(7):834–842
20. Fei Z, Gao H, Shi P (2009) New results on stabilization of Markovian jump systems with time
delay. Automatica 45(10):2300–2306
21. He S, Liu F (2011) Robust stabilization of stochastic Markovian jumping systems via proportional integral control. Signal Process 91(11):2478–2486
22. Wu Z, Shi P, Su H, Chu J (2013) Stochastic synchronization of Markovian jump neural
networks with time-varying delay using sampled-data. IEEE Trans Cybern 43(6):1796–1806
23. Shen M, Fei S (2015) A constructive method to static output stabilisation of Markov jump
systems. Int J Control 88(5):990–1000
24. Qiu J, Wei Y, Karimi HR (2015) New approach to delay-dependent H ∞ control for continuoustime Markovian jump systems with time-varying delay and deficient transition descriptions.
J Frankl Inst: Eng Appl Math 352(1):189–215
25. He S, Song J, Ding Z, Liu F (2015) Online adaptive optimal control for continuous-time
Markov jump linear systems using a novel policy iteration algorithm. IET Control Theory
Appl 9(10):1536–1543
26. Shen H, Li F, Xu S, Sreeram V (2018) Slow state variables feedback stabilization for semiMarkov jump systems with singular perturbations. IEEE Trans Autom Control 63(8):2709–
2714
27. Shen H, Li F, Yan H, Karimi HR, Lam HK (2018) Finite-time event-triggered H ∞ control for
T-S fuzzy Markov jump systems. IEEE Trans Fuzzy Syst 26(5):3122–3135
28. Shen H, Men Y, Wu Z, Cao J, Lu G (2019) Network-based quantized control for fuzzy
singularly perturbed semi-Markov jump systems and its application. IEEE Trans Circuits
Syst I: Regul Pap 66(3):1130–1140
29. Shen H, Li F, Wu Z, Park JuH, Sreeram V (2018) Fuzzy-model-based non-fragile control
for nonlinear singularly perturbed systems with semi-Markov jump parameters. IEEE Trans
Fuzzy Syst 26(6):3428–3439
30. Shen H, Men Y, Wu Z, Park JuH (2018) Nonfragile H ∞ control for fuzzy Markovian
jump systems under fast sampling singular perturbation. IEEE Trans Syst Man Cybern Syst
48(12):2058–2069
31. Cheng J, Park JH, Karimi HR, Shen H (2018) A flexible terminal approach to sampleddata exponentially synchronization of Markovian neural networks with time-varying delayed
signals. IEEE Trans Cybern 48(8):2232–2244
32. Cheng J, Chang  (2018) X, Park Ju H, Fuzzy-model-based H ∞ control for discrete-time
switched systems with quantized feedback and unreliable links. Inf Sci 436–437:181–196
33. Jiang B, Karimi HR, Kao Y, Gao C (2018) A novel robust fuzzy integral sliding mode control
for nonlinear semi-Markovian jump T-S fuzzy systems. IEEE Trans Fuzzy Syst 26(6):3594–
3604
34. Jiang B, Kao Y, Karimi HR, Gao C (2018) Stability and stabilization for singular switching
semi-Markovian jump systems with generally uncertain transition rates. IEEE Trans Autom
Control 63(11):3919–3926
35. Wang Y, Xia Y, Shen H, Zhou P (2018) SMC design for robust stabilization of nonlinear
Markovian jump singular systems. IEEE Trans Autom Control 63(1):219–224
36. Liu J, Wei L, Xie X, Tian E, Fei S (2018) Quantized stabilization for T-S fuzzy systems with
hybrid-triggered mechanism and stochastic cyber attacks. IEEE Trans Fuzzy Syst 26(6):3820–
3834
37. Luan X, Huang B, Liu F (2018) Higher order moment stability region for Markov jump
systems based on cumulant generating function. Automatica 93:389–396
38. Luan X, Shi P, Liu F (2018) Given-time multiple frequency control for Markov jump systems
based on derandomization. Inf Sci 451–452:124–142
39. Luan X, Zhao S, Liu F (2013) H ∞ control for discrete-time Markov jump systems with
uncertain transition probabilities. IEEE Trans Autom Control 58(6):1566–1572
40. Ma Y, Jia X, Liu D (2016) Robust finite-time H ∞ control for discrete-time singular Markovian
jump systems with time-varying delay and actuator saturation. Appl Math Comput 286:213–
227