H_∞ non-fragile observer-based dynamic event-triggered sliding mode control for nonlinear networked systems with...

Area of Science:

• Control Systems Engineering
• Nonlinear Systems Analysis
• Networked Control Systems

Background:

• Networked control systems (NCS) face challenges from sensor saturation and input nonlinearities.
• Event-triggered control strategies aim to reduce communication load in NCS.
• Robust control is crucial for maintaining stability in the presence of uncertainties and disturbances.

Purpose of the Study:

• To develop a robust non-fragile observer-based dynamic event-triggered sliding mode control (SMC) for discrete-time Lipschitz nonlinear NCS.
• To address sensor saturation and dead-zone input nonlinearity.
• To reduce data transmission while ensuring system stability and performance.

Main Methods:

• An improved dynamic event-triggered scheme (DETS) considering sensor saturation.
• Design of a non-fragile observer for state estimation and discrete sliding surface construction.
• Modeling system dynamics as a unified linear parameter varying (LPV) networked system with time-varying delays using a reformulated Lipschitz property.
• Development of an observer-based event-triggered SMC law.

Main Results:

• Sufficient conditions for asymptotic stability of the closed-loop system with guaranteed disturbance attenuation.
• Finite-time convergence of observer system trajectories to a region near the equilibrium point.
• Demonstrated effectiveness through two practical examples.

Conclusions:

• The proposed observer-based dynamic event-triggered SMC method effectively enhances the robustness and stability of nonlinear NCS.
• The approach successfully mitigates the impact of sensor saturation and dead-zone nonlinearities.
• The developed event-triggered scheme significantly reduces data transmission requirements.