TS Fuzzy Model-based Control Systems
In our theoretical control research, we focus on bridging the nonlinear dynamics with Takagi-Sugeno (T-S) fuzzy systems, and provide the best solution for Fuzzy-Model-Based Control Systems to control the non-linear phenomena phenomena, quasi-periodic, or chaotic behaviour in different applications. We continue to be interested in polynomial and positive fuzzy-model based system to better represent highly nonlinear systems, and the application of different-type of Lyapunov membership functions in establishing the stability analysis framework for smooth and piece-wise smooth nonlinear systems.
Selected Papers:
Stability Analysis of Discrete-Time Polynomial Fuzzy Systems With Time Delay and Positivity Constraints using Piecewise Taylor Series Membership Functions
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Membership-dependent stability analysis of discrete-time positive polynomial Fuzzy systems with time delay
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Stability analysis of discrete-time positive polynomial Fuzzy-model based control systems through fuzzy co-positive Lyapunov function with bounded control
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Model-Based Control and Stability Analysis of Discrete-Time Polynomial Fuzzy Systems with Time Delay and Positivity Constraints
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Stability Analysis of Sliding–Grazing Phenomenon in Dry-Friction Oscillator Using TS Fuzzy Approach
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Investigation of the near-grazing behaviour in hard-impact oscillators using model-based TS fuzzy approach
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Stability Analysis and Control of Nonlinear Phenomena in Boost Converters Using Model-Based TS Fuzzy Approach
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Modelling and stability analysis of DC-DC buck converter via TS fuzzy approach
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