Dissipativity-Based Control for Fuzzy Systems With Asynchronous Modes and Intermittent Measurements.

Area of Science:

• Control Systems Engineering
• Fuzzy Systems
• Stochastic Systems

Background:

• Investigates asynchronous output feedback control for Takagi-Sugeno fuzzy switched systems.
• Addresses challenges posed by intermittent and stochastic measurements.

Purpose of the Study:

• To design an asynchronous controller for fuzzy switched systems with stochastic intermittent measurements.
• To ensure stochastic stability and achieve extended dissipative performance for the closed-loop system.

Main Methods:

• Employs the Bernoulli process to model stochastic intermittent measurements.
• Utilizes a hidden Markov model (HMM) in conjunction with output measurements.
• Designs an asynchronous controller based on the HMM and available data.

Main Results:

• Proposes sufficient conditions for the existence of the designed asynchronous controller.
• Guarantees stochastic stability of the closed-loop system.
• Ensures the closed-loop system achieves the desired extended dissipative performance.

Conclusions:

• The developed asynchronous control design effectively handles stochastic intermittent measurements in fuzzy switched systems.
• The proposed conditions ensure system stability and performance.
• An illustrative example validates the effectiveness and advantages of the new control techniques.