180
References
205. Xiang W, Xiao J, Naveed IM (2012) Robust finite-time bounded observer design for a class
of uncertain nonlinear Markovian jump systems. IMA J Math Control Inf 29(4):551–572
206. He S, Liu F (2012) On robust controllability with respect to the finite-time interval of uncertain
nonlinear jump systems. Trans Inst Meas Control 34(7):841–849
207. He S, Xu H (2015) Non-fragile finite-time filter design for time-delayed Markovian jumping
systems via T-S fuzzy model approach. Nonlinear Dynam 80:1159–1171
208. He S (2015) Energy-to-peak filtering for T-S fuzzy systems with Markovian jumping: The
finite-time case. Neurocomputing 168:348–355
209. Shi P, Zhang Y, Agarwal RK (2015) Stochastic finite-time state estimation for discrete timedelay neural networks with Markovian jumps. Neurocomputing 151(P1):168–174
210. Wang T, Zhao S, Zhou W, Yu W (2015) Finite-time state estimation for delayed Hopfield
neural networks with Markovian jump. Neurocomputing 156(25):193–198
211. Yao D, Lu Q, Wu C, Chen Z (2015) Robust finite-time state estimation of uncertain neural
networks with Markovian jump parameters. Neurocomputing 159(1):257–262
212. Li F, Shen H, Chen M, Kong Q (2015) Non-fragile finite-time l 2 − l ∞ state estimation for
discrete-time Markov jump neural networks with unreliable communication links. Appl Math
Comput 271(15):467–481
213. He S, Liu F (2012) Finite-time H ∞ control of nonlinear jump systems with time-delays via
dynamic observer-based state feedback. IEEE Trans Fuzzy Syst 20(4):605–614
214. He S, Liu F (2014) Optimal finite-time passive controller design for uncertain nonlinear
Markovian jumping systems. J Frankl Inst: Eng Appl Math 351(7):3782–3796
215. Luan X, Liu F, Shi P (2010) Robust finite-time H ∞ control for nonlinear jump systems via
neural networks. Circuits Syst Signal Process 29(3):481–498
216. Luan X, Liu F, Shi P (2010) Finite-time filtering for non-linear stochastic systems with partially
known transition jump rates. IET Control Theory Appl 4(5):735–745
217. Luan X, Liu F, Shi P (2010) Neural-network-based finite-time H ∞ control for extended
Markov jump nonlinear systems. Int J Adapt Control Signal Process 24(7):554–567
218. He S, Liu F (2011) Stochastic finite-time boundedness of Markovian jumping neural network
with uncertain transition probabilities. Appl Math Model 35(6):2631–2638
219. He S, Liu F (2013) Finite-time boundedness of uncertain time-delayed neural network with
Markovian jumping parameters. Neurocomputing 103(1):87–92
220. Wang J, Ma S, Zhang C (2019) Finite-time H filtering for nonlinear continuous-time singular
semi-Markov jump systems. Asian J Control 21(2):1017–1027
221. Gao X, Ren H, Ye D, Zhou Q (2018) Finite-time filtering for discrete-time piecewise homogeneous Markov jump systems with missing measurements. Circuit Syst Signal Process
37(9):3927–3945
222. Zhu S, Wang B, Zhang C (2017) Delay-dependent stochastic finite-time l(1)-gain filtering for discrete-time positive Markov jump linear systems with time-delay. J Frankl Inst
354(15):6894–6913
223. Wang J, Feng L, Song Y, Shen H (2016) On asynchronous l 2 − l ∞ filtering for networked
fuzzy systems with Markov jump parameters over a finite-time interval. IET Control Theory
Appl 10(17):2175–2185
224. Shen H, Li F, Wu Z, Park JuH (2016) Finite-time asynchronous H ∞ filtering for discrete-time
Markov jump systems over a lossy network. Int J Robust Nonlinear Control 26(17):3831–3848
225. Li X, Gao H (2016) A survey of generalized KYP lemma for finite frequency domain analysis
and design. Acta Autom Sinca 42(11):1605–1619
226. Du C, Xie L, Guo G, Teoh JN (2007) A generalized KYP lemma based approach for disturbance rejection in data storage systems. Automatica 43(12):2112–2118
227. Lim JS, Ryoo JR, Lee YI, Song SY (2012) Design of a fixed-order controller for the trackfollowing control of optical discdrives. IEEE Trans Control Syst Technol 20(1):205–213
228. Pepeleers G, Swevers J (2010) Optimal feed forward controller design for periodic inputs. Int
J Control 83(5):1044–1053
229. Paszke W, Rogers E, Galkowski K (2010) On the design of ILC schemes for finite frequency
range tracking specifications. IEEE Int Conf Decis Control 2010:6979–6984
References
205. Xiang W, Xiao J, Naveed IM (2012) Robust finite-time bounded observer design for a class
of uncertain nonlinear Markovian jump systems. IMA J Math Control Inf 29(4):551–572
206. He S, Liu F (2012) On robust controllability with respect to the finite-time interval of uncertain
nonlinear jump systems. Trans Inst Meas Control 34(7):841–849
207. He S, Xu H (2015) Non-fragile finite-time filter design for time-delayed Markovian jumping
systems via T-S fuzzy model approach. Nonlinear Dynam 80:1159–1171
208. He S (2015) Energy-to-peak filtering for T-S fuzzy systems with Markovian jumping: The
finite-time case. Neurocomputing 168:348–355
209. Shi P, Zhang Y, Agarwal RK (2015) Stochastic finite-time state estimation for discrete timedelay neural networks with Markovian jumps. Neurocomputing 151(P1):168–174
210. Wang T, Zhao S, Zhou W, Yu W (2015) Finite-time state estimation for delayed Hopfield
neural networks with Markovian jump. Neurocomputing 156(25):193–198
211. Yao D, Lu Q, Wu C, Chen Z (2015) Robust finite-time state estimation of uncertain neural
networks with Markovian jump parameters. Neurocomputing 159(1):257–262
212. Li F, Shen H, Chen M, Kong Q (2015) Non-fragile finite-time l 2 − l ∞ state estimation for
discrete-time Markov jump neural networks with unreliable communication links. Appl Math
Comput 271(15):467–481
213. He S, Liu F (2012) Finite-time H ∞ control of nonlinear jump systems with time-delays via
dynamic observer-based state feedback. IEEE Trans Fuzzy Syst 20(4):605–614
214. He S, Liu F (2014) Optimal finite-time passive controller design for uncertain nonlinear
Markovian jumping systems. J Frankl Inst: Eng Appl Math 351(7):3782–3796
215. Luan X, Liu F, Shi P (2010) Robust finite-time H ∞ control for nonlinear jump systems via
neural networks. Circuits Syst Signal Process 29(3):481–498
216. Luan X, Liu F, Shi P (2010) Finite-time filtering for non-linear stochastic systems with partially
known transition jump rates. IET Control Theory Appl 4(5):735–745
217. Luan X, Liu F, Shi P (2010) Neural-network-based finite-time H ∞ control for extended
Markov jump nonlinear systems. Int J Adapt Control Signal Process 24(7):554–567
218. He S, Liu F (2011) Stochastic finite-time boundedness of Markovian jumping neural network
with uncertain transition probabilities. Appl Math Model 35(6):2631–2638
219. He S, Liu F (2013) Finite-time boundedness of uncertain time-delayed neural network with
Markovian jumping parameters. Neurocomputing 103(1):87–92
220. Wang J, Ma S, Zhang C (2019) Finite-time H filtering for nonlinear continuous-time singular
semi-Markov jump systems. Asian J Control 21(2):1017–1027
221. Gao X, Ren H, Ye D, Zhou Q (2018) Finite-time filtering for discrete-time piecewise homogeneous Markov jump systems with missing measurements. Circuit Syst Signal Process
37(9):3927–3945
222. Zhu S, Wang B, Zhang C (2017) Delay-dependent stochastic finite-time l(1)-gain filtering for discrete-time positive Markov jump linear systems with time-delay. J Frankl Inst
354(15):6894–6913
223. Wang J, Feng L, Song Y, Shen H (2016) On asynchronous l 2 − l ∞ filtering for networked
fuzzy systems with Markov jump parameters over a finite-time interval. IET Control Theory
Appl 10(17):2175–2185
224. Shen H, Li F, Wu Z, Park JuH (2016) Finite-time asynchronous H ∞ filtering for discrete-time
Markov jump systems over a lossy network. Int J Robust Nonlinear Control 26(17):3831–3848
225. Li X, Gao H (2016) A survey of generalized KYP lemma for finite frequency domain analysis
and design. Acta Autom Sinca 42(11):1605–1619
226. Du C, Xie L, Guo G, Teoh JN (2007) A generalized KYP lemma based approach for disturbance rejection in data storage systems. Automatica 43(12):2112–2118
227. Lim JS, Ryoo JR, Lee YI, Song SY (2012) Design of a fixed-order controller for the trackfollowing control of optical discdrives. IEEE Trans Control Syst Technol 20(1):205–213
228. Pepeleers G, Swevers J (2010) Optimal feed forward controller design for periodic inputs. Int
J Control 83(5):1044–1053
229. Paszke W, Rogers E, Galkowski K (2010) On the design of ILC schemes for finite frequency
range tracking specifications. IEEE Int Conf Decis Control 2010:6979–6984