Sliding mode based-variable selective control for robust tracking of uncertain Internet-based systems

Area of Science:

• Control Systems Engineering
• Networked Control Systems
• Robust Control Theory

Background:

• Internet-based systems face challenges from model uncertainties and network impairments.
• Event-triggered control strategies aim to optimize communication in networked systems.
• Ensuring stability and performance in the presence of delays and packet loss is critical.

Purpose of the Study:

• To develop a robust control strategy for uncertain linear Internet-based systems.
• To reduce communication load using an event-triggered approach.
• To guarantee system stability, robustness, and output tracking.

Main Methods:

• Design of a novel sliding surface for linear Internet-based systems via linear matrix inequalities.
• Application of Lyapunov's stability theorem for stability analysis.
• Development of a discrete-time sliding mode control method to handle time delays and packet dropouts.

Main Results:

• The proposed control strategy effectively manages model uncertainties and network effects.
• The method demonstrates resilience to significant network delays and packet dropouts.
• Asymptotic stability and robustness of the closed-loop system are validated.

Conclusions:

• The event-triggered robust control method is effective for uncertain linear Internet-based systems.
• The approach enhances stability and tracking performance under network constraints.
• Simulation results confirm the method's efficacy against model uncertainty and band-limited networks.