Fuzzy Control Systems with Time-Delay and Stochastic Perturbation

Abstract

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Retracted: State estimation of Takagi‐Sugeno fuzzy system in networked control system with stochastic time delays under unknown attacks

“…However, the application of NCS with its stochastic behavior introduced new challenges induced by the exchange of data through the network and the difficulty to ensure a correct and accomplish transmission of data between sensors, actuators, and controllers. From References 2 and 4, we conclude that the author's proposed scheme really improved the performances and stability conditions for the control system. Among these challenges, we can find the capacity of the network's communication, the disturbances introduced into the communication, the delays, and packet losses 9 .…”

An Efficient Chicken Search Optimization Algorithm for the Optimal Design of Fuzzy Controllers

“…This block allows the bio-inspired algorithm, in this case CSO, to demonstrate its efficiency in the optimization of the control problem. Some works where the behavior of the problem with level of noise in the model is analyzed are [31,[58][59][60][61][62][63][64]. In this paper, two type of disturbances are considered in each model.…”

Improved stability and stabilisation criteria for discrete time‐delay systems via a novel double summation inequality

“…The whole proof is completed □. Remark 6 Once the scalar is provided, the inequalities in (49) can be directly solved by the convex‐optimum method in MATLAB. Several search methods for the scalar have been introduced in [30, 40]. The idea of [30] is chosen in this study, and the detailed process can be found in [30].…”