Adaptive Hierarchical Event-Triggered H_∞ Output Tracking of IT2 Fuzzy Heterogeneous Multiagent Systems Under...

Area of Science:

• Control Systems Engineering
• Artificial Intelligence
• Network Security

Background:

• Multiagent systems (MASs) are crucial for cooperative control tasks like robot navigation and drone formation.
• Output tracking control is a key challenge in MASs, especially under adversarial conditions.
• Denial-of-service (DoS) attacks pose significant threats to the stability and performance of MASs.

Purpose of the Study:

• To investigate the $H_{\infty}$ output consensus tracking problem for interval type-2 (IT2) fuzzy heterogeneous MASs.
• To develop robust control strategies against multiple-channel DoS attacks.
• To reduce communication overhead in MASs using an event-triggered mechanism.

Main Methods:

• Design of a fully distributed adaptive compensator to approximate the leader's state convex hull.
• Development of an observer-based fuzzy switched controller for follower agents.
• Establishment of a two-layer hierarchical hybrid event-triggered mechanism (ETM) to minimize communication burden while excluding asynchronous communication and Zeno behavior.

Main Results:

• A sufficient condition for guaranteeing exponential stability of the tracking error with prescribed $H_{\infty}$ performance is derived.
• The proposed ETM effectively reduces communication frequency without compromising system stability.
• Simulation results validate the feasibility and superior performance of the developed approach.

Conclusions:

• The proposed control strategy effectively addresses the $H_{\infty}$ output consensus tracking problem in IT2 fuzzy MASs under DoS attacks.
• The hierarchical hybrid ETM significantly enhances communication efficiency in MAS networks.
• The approach demonstrates robustness and superior performance in cooperative control applications.