174
References
63. Balasubramaniam P, Senthilkumar T (2013) Delay-range-dependent robust stabilisation and
H ∞ control for nonlinear uncertain stochastic fuzzy systems with mode-dependent time delays
and Markovian jump parameters. Int J Syst Sci 44(1):187–200
64. He S, Liu F (2013) L 2 − L ∞ fuzzy control for Markov jump systems with neutral time-delays.
Math Comput Simul 92:1–13
65. Shen H, Wang Z, Huang X, Wang J (2014) Fuzzy dissipative control for nonlinear Markovian
jump systems via retarded feedback. J Frankl Inst 351(7):3797–3817
66. Zhang D, Yu L (2012) Exponential state estimation for Markovian jumping neural networks
with time-varying discrete and distributed delays. Neural Netw 35:103–111
67. Zhang H, Shi Y, Wang J (2014) On energy-to-peak filtering for nonuniformly sampled nonlinear systems: a Markovian jump system approach. IEEE Trans Fuzzy Syst 22(11):212–222
68. Zhang D, Cai W, Wang Q (2014) Mixed H ∞ passivity based state estimation for fuzzy neural
networks with Markovian-type estimator gain change. Neurocomputing 139:321–327
69. He S (2015) Non-fragile passive controller design for nonlinear Markovian jumping systems
via observer-based controls. Neurocomputing 147:350–357
70. Zhang H, Wang J (2015) State Estimation of discrete-time Takagi–Sugeno fuzzy systems in
a network environment. IEEE Trans Cybern 45(8):1525–1536
71. Ma H, Zhou, Bai Q, Liang H (2019) Observer-based adaptive fuzzy fault-tolerant control
for stochastic nonstrict-feedback nonlinear systems with input quantization. IEEE Trans Syst
Man Cybern Syst 49(2):287–298
72. Dong S, Wu Z, Shi P, Su H, Huang T (2019) Quantized control of Markov jump nonlinear
systems based on fuzzy hidden Markov model. IEEE Trans Cybern 49(7):2420–2430
73. Dong S, Wu Z, Pan Y, Su H, Liu Y (2019) Hidden-Markov-model-based asynchronous filter
design of nonlinear Markov jump systems in continuous-time domain. IEEE Trans Cybern
49(6):2294–2304
74. Wu Z, Dong S, Shi P, Su H, Huang T, Lu R (2017) Fuzzy-model-based nonfragile guaranteed cost control of nonlinear Markov jump systems. IEEE Trans Syst Man Cybern Syst
47(8):2388–2397
75. Lian J, Li S, Liu J (2018) T-S Fuzzy control of positive Markov jump nonlinear systems. IEEE
Trans Fuzzy Syst 26(4):2374–2383
76. Wang J, Ma S, Zhang C, Fu M (2019) Finite-time H ∞ filtering for nonlinear singular systems
with nonhomogeneous Markov jumps. IEEE Trans Cybern 49(6):2133–2143
77. Özkan E, Lindsten F, Fritsche C (2015) Gustafsson, recursive maximum likelihood identification of jump Markov nonlinear systems. IEEE Trans Signal Process 63(3):754–765
78. Yin Y, Shi P, Liu F, Teo KL, Lim CC (2015) Robust filtering for nonlinear nonhomogeneous
Markov jump systems by fuzzy approximation approach. IEEE Trans Cybern 45(9):1706–
1716
79. Stojanovic V, He S, Zhang B (2020) State and parameter joint estimation of linear stochastic systems in presence of faults and non-Gaussian noises. Int J Robust Nonlinear Control
30(16):6683–6700
80. He S, Song J (2017) Finite-time sliding mode control design for a class of uncertain conic
nonlinear systems. IEEE/CAA J Autom Sin 4(4):809–816
81. De Souza CE, Fragoso MD (1996) H ∞ filtering for Markov jump linear systems. IEEE Int
Conf Decis Control 4814–4818
82. De Souza CE, Fragoso MD (1996) Robust H ∞ filtering for uncertain Markov jump linear
systems. IEEE Int Conf Decis Control 4808–4813
83. Wang Z, Lam J, Burnham KJ (2002) Nonlinear filtering for state delayed systems with Markovian switching. In: Proceedings of the 4th World Congress on Intelligent Control and Automation, pp 231–235
84. Wang Z, Lam J, Liu XH (2004) Robust filtering for discrete-time Markovian jump delay
systems. IEEE Signal Process Lett 11(8):659–662
85. Shi P, Mahoud M, Nguang SK, Ismail A (2006) Robust filtering for jumping systems with
mode-dependent delays. Signal Process 86(1):140–152
References
63. Balasubramaniam P, Senthilkumar T (2013) Delay-range-dependent robust stabilisation and
H ∞ control for nonlinear uncertain stochastic fuzzy systems with mode-dependent time delays
and Markovian jump parameters. Int J Syst Sci 44(1):187–200
64. He S, Liu F (2013) L 2 − L ∞ fuzzy control for Markov jump systems with neutral time-delays.
Math Comput Simul 92:1–13
65. Shen H, Wang Z, Huang X, Wang J (2014) Fuzzy dissipative control for nonlinear Markovian
jump systems via retarded feedback. J Frankl Inst 351(7):3797–3817
66. Zhang D, Yu L (2012) Exponential state estimation for Markovian jumping neural networks
with time-varying discrete and distributed delays. Neural Netw 35:103–111
67. Zhang H, Shi Y, Wang J (2014) On energy-to-peak filtering for nonuniformly sampled nonlinear systems: a Markovian jump system approach. IEEE Trans Fuzzy Syst 22(11):212–222
68. Zhang D, Cai W, Wang Q (2014) Mixed H ∞ passivity based state estimation for fuzzy neural
networks with Markovian-type estimator gain change. Neurocomputing 139:321–327
69. He S (2015) Non-fragile passive controller design for nonlinear Markovian jumping systems
via observer-based controls. Neurocomputing 147:350–357
70. Zhang H, Wang J (2015) State Estimation of discrete-time Takagi–Sugeno fuzzy systems in
a network environment. IEEE Trans Cybern 45(8):1525–1536
71. Ma H, Zhou, Bai Q, Liang H (2019) Observer-based adaptive fuzzy fault-tolerant control
for stochastic nonstrict-feedback nonlinear systems with input quantization. IEEE Trans Syst
Man Cybern Syst 49(2):287–298
72. Dong S, Wu Z, Shi P, Su H, Huang T (2019) Quantized control of Markov jump nonlinear
systems based on fuzzy hidden Markov model. IEEE Trans Cybern 49(7):2420–2430
73. Dong S, Wu Z, Pan Y, Su H, Liu Y (2019) Hidden-Markov-model-based asynchronous filter
design of nonlinear Markov jump systems in continuous-time domain. IEEE Trans Cybern
49(6):2294–2304
74. Wu Z, Dong S, Shi P, Su H, Huang T, Lu R (2017) Fuzzy-model-based nonfragile guaranteed cost control of nonlinear Markov jump systems. IEEE Trans Syst Man Cybern Syst
47(8):2388–2397
75. Lian J, Li S, Liu J (2018) T-S Fuzzy control of positive Markov jump nonlinear systems. IEEE
Trans Fuzzy Syst 26(4):2374–2383
76. Wang J, Ma S, Zhang C, Fu M (2019) Finite-time H ∞ filtering for nonlinear singular systems
with nonhomogeneous Markov jumps. IEEE Trans Cybern 49(6):2133–2143
77. Özkan E, Lindsten F, Fritsche C (2015) Gustafsson, recursive maximum likelihood identification of jump Markov nonlinear systems. IEEE Trans Signal Process 63(3):754–765
78. Yin Y, Shi P, Liu F, Teo KL, Lim CC (2015) Robust filtering for nonlinear nonhomogeneous
Markov jump systems by fuzzy approximation approach. IEEE Trans Cybern 45(9):1706–
1716
79. Stojanovic V, He S, Zhang B (2020) State and parameter joint estimation of linear stochastic systems in presence of faults and non-Gaussian noises. Int J Robust Nonlinear Control
30(16):6683–6700
80. He S, Song J (2017) Finite-time sliding mode control design for a class of uncertain conic
nonlinear systems. IEEE/CAA J Autom Sin 4(4):809–816
81. De Souza CE, Fragoso MD (1996) H ∞ filtering for Markov jump linear systems. IEEE Int
Conf Decis Control 4814–4818
82. De Souza CE, Fragoso MD (1996) Robust H ∞ filtering for uncertain Markov jump linear
systems. IEEE Int Conf Decis Control 4808–4813
83. Wang Z, Lam J, Burnham KJ (2002) Nonlinear filtering for state delayed systems with Markovian switching. In: Proceedings of the 4th World Congress on Intelligent Control and Automation, pp 231–235
84. Wang Z, Lam J, Liu XH (2004) Robust filtering for discrete-time Markovian jump delay
systems. IEEE Signal Process Lett 11(8):659–662
85. Shi P, Mahoud M, Nguang SK, Ismail A (2006) Robust filtering for jumping systems with
mode-dependent delays. Signal Process 86(1):140–152
