Event-triggered passive synchronization for Markov jump neural networks subject to randomly occurring gain variations

Analysis of a Single Server Retrial Queue with Server Vacation and Two Waiting Buffers Based on ATM Networks

“…In the study of the continuous-time retrial queueing models, the Markov process is the main mathematical tool. About more works on the Markov process, readers are referred to Dai et al [13], Shen et al [14], and Shen et al [15]. e study of the retrial queues was mainly focused on the continuous-time.…”

H∞ Filter Design for Networked Control Systems: A Markovian Jump System Approach

“…e Markovian jump system (MJS) refers to a stochastic system with multiple model states and the system transitions between modes in accordance with the properties of the Markov chain due to the multimode transition characteristics of the Markovian jump system in the actual engineering. It can be used to simulate many systems with abrupt characteristics, such as manufacturing systems and faulttolerant systems [14][15][16][17][18][19][20][21][22][23][24]. In [25], the exponential L 2 -L ∞ filter problem of the linear system is explored, and the system has both distributed delay, Markovian jump parameter, and norm bounded parameter uncertainty.…”

Stability analysis and output feedback control for stochastic networked systems with multiple communication delays and nonlinearities using fuzzy control technique

“…The problem of extended dissipativity-based state feedback control was solved for a Markov jump systems established upon Fornasini-Marchesini local state-space model, in which a kind of state delays is thoroughly taken into account [33]. The passive synchronization issue for Markov jump neural networks subject to randomly occurring gain variations was solved, in which the event-triggered mechanism is employed to save the limited communication resource [34]. In practice, it may be difficult to obtain all the information of the state variables, then the output feedback control has been proposed [35][36][37][38].…”