This article investigates the adaptive fuzzy asynchronous control problem for discrete-time
nonhomogeneous Markov jump power systems under hybrid attacks. A nonhomogeneous …

This paper proposes an innovative approach for mitigating the effects of deception attacks in
Markov jum** systems by develo** an adaptive neural network control strategy. To …

In this paper, a switched fuzzy Lyapunov function approach is proposed to analyze the
stability of continuous-time Takagi–Sugeno fuzzy systems. The results are established by …

This paper describes a method to determine the optimal location and the number of multi-
machine power system stabilizers (PSSs) using participation factor (PF) and genetic …

This paper addresses the problem of stabilizing a class of nonlinear systems subject to
Markovian jump parameters using a robust stochastic fuzzy controller with H infin …

In this work, a robust static output feedback (SOF) design for continuous-time nonlinear
systems under norm bounded uncertainties, described as a Takagi–Sugeno (TS) system is …

In this article, the fuzzy Lyapunov function approach is considered for stabilising continuous-
time Takagi-Sugeno fuzzy systems. Previous linear matrix inequality (LMI) stability …

This paper discusses the stabilization criteria for stochastic neural networks of neutral type
with both Markovian jump parameters. First, delay-dependent conditions to guarantee the …

This paper presents the design and implementation of Power System Stabilizers in a
multimachine power system based on innovative evolutionary algorithm overtly as Breeder …

The feedback control, derived from delayed state observations, was triumphantly imported to
H∞ and exponentially stabilize an unstable nonlinear hybrid system with time-invariant …