Extended dissipative synchronization of complex dynamical networks with additive time-varying delay and discrete-time information

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

“…Thus, the sector nonlinearities of the sensors are often investigated based on the 7, where the sensor signal is saturated subject to sector-like bounds and then sent to the actuator via the fading channels [57,58]. From Assumption 2, one knows that the random sector nonlinearities are decomposed into a linear term and a nonlinear term as well as the conditions (8) holds. The randomly varying nonlinearities including linear and nonlinear terms are introduced to reflect more realistic dynamical behaviors caused by the noisy environment [60].…”

“…Besides, the time delays may induce the undesirable dynamic behaviors, such as the overshoot, oscillation, instability and so on [4][5][6]. The nonlinearities are the common phenomenon due to the fault of the data interfaces, the sudden changes of the working environments and the long distance data transmissions [7,8]. Sometimes, the networked control systems lead to two major problems, inevitable random time-varying delays and unexpected nonlinearities, which may degrade the system performances and causes the system instability [9].…”

Robust H∞ control for a class of quasi‐linear uncertain stochastic time‐varying delayed systems

“…On the other hand, time-delays exist widely in many practical systems such as chemical systems, mechanical systems, biological systems and communication systems. So time-delay systems have been deeply investigated in recent years by many scholars [15,16,20,21,23,24,[26][27][28][29][30][31][32]. For example, the references [20] and [23] considered the stochastic stability and exponential stabilization of stochastic switching systems, respectively.…”

“…H ∞ control and filtering for stochastic time-delay Markov jumping systems and nonlinear time-delay Itô systems can be found in [15,16,24,26,27]. In particular, the sampled-data state estimation [29], finite stability analysis [30], dissipative synchronization [31] and robust reliable control for complex neural network systems with interval time-varying delays have been thoroughly discussed. In addition, owing to the limitation of measurement techniques, it is often difficult to construct an exact mathematical model to describe a practical phenomenon.…”

The Impact of Coupling Function on Finite‐Time Synchronization Dynamics of Multi‐Weighted Complex Networks with Switching Topology

“…During recent years, many researchers have paid close attention to synchronization dynamics problems of complex networks because synchronization dynamics is one of the most important collective behavior of complex networks [1][2][3] and many practical systems, including sensor network, communication network, neural networks, social network, and so on [4][5][6], can be modeled by complex networks. Therefore, many valuable and meaningful results for synchronization dynamics problems of complex networks have been obtained [7][8][9][10][11][12][13].…”