Integral sliding mode consensus of networked control systems with bounded disturbances.

Area of Science:

• Control Systems Engineering
• Networked Systems
• Adaptive Control Theory

Background:

• Networked control systems (NCS) face challenges in achieving consensus tracking due to directed topologies and partial information exchange.
• Disturbances in NCS can degrade performance and stability, necessitating robust control strategies.
• Existing discontinuous consensus protocols often suffer from chattering and difficulties in gain determination.

Purpose of the Study:

• To address the consensus tracking problem in NCS with disturbances under directed network topologies.
• To design a robust and effective consensus protocol that overcomes limitations of existing methods.
• To ensure NCS achieve consensus in a finite time despite bounded disturbances.

Main Methods:

• Design of a discontinuous integral sliding mode protocol for NCS with bounded disturbances.
• Development of a continuous integral sliding mode consensus protocol to mitigate chattering and simplify gain determination.
• Application of adaptive control principles for automatic controller gain adjustment without prior system knowledge.

Main Results:

• The proposed continuous integral sliding mode protocol ensures NCS achieve consensus in a finite time.
• The adaptive control method effectively adjusts controller gains, ensuring protocol execution without prior NCS knowledge.
• Simulation results validate the efficacy and robustness of the developed consensus tracking approach.

Conclusions:

• The novel continuous integral sliding mode consensus protocol effectively solves the consensus tracking problem in disturbed NCS.
• Adaptive control offers significant advantages by automatically tuning controller gains, enhancing NCS adaptability.
• The validated approach provides a robust solution for achieving reliable consensus in complex networked control systems.