Stochastic sampled‐data controller for T–S fuzzy chaotic systems and its applications

Exponential sampled‐data fuzzy stabilization of nonlinear systems and its application to basic buck converters

“…At that point, by Schur complement,V (t ) < 0 is equal to LMIs (11) and (12). From (22), we can presume thaṫ…”

“…In model-based T-S fuzzy control strategies, a universal function approximates to described the T-S fuzzy model which show the effectiveness of smoothing the non-linear functions in any convex compact set [7,8]. Over the past few decades, T-S fuzzy model framework and proper controller design have been reported in the literature to help system analysis and synthesis of T-S fuzzy systems in [9][10][11][12]. DC-DC converters are used in a variety of applications, such as distributed DC systems, electric vehicles, electric traction, fuel cells, specialized motor drives and machine tools.…”

Dynamical Analysis and Sampled-Data Stabilization of Memristor-Based Chua’s Circuits

“…In sampled-data control, the measured closed-loop dynamics play an important role during sampling [36]- [40]. However, few papers on sampleddata control methods for LPV systems are available [41]- [44]. Therefore, it is important to investigate the dynamic behaviours of uncertain memristive systems.…”

Finite‐time sampled‐data fuzzy control for a non‐linear system using passivity and passification approaches and its application

“…It has been demonstrated that the T-S fuzzy model possibly utilised non-linear system, which is displayed through a group of IF-THEN rules that show the neighbourhood linear input-output relations of the system. Moreover, the stability and stabilisation issues of the T-S fuzzy system with delays are widely considered [5][6][7] and references therein. Moreover, permanent magnet synchronous motor (PMSM) and truck-trailer model demonstrate most likely another source prompting undesirable performance of the T-S fuzzy systems [8][9][10][11].…”