Distributed Secure Control for Nonlinear Descriptor Multiagent Systems With Unknown Inputs Under Denial-of-Service...

Area of Science:

• Control Systems Engineering
• Networked Systems Security
• Nonlinear Dynamics

Background:

• Multiagent systems (MASs) face security challenges from Denial-of-Service (DoS) attacks.
• Nonlinear descriptor systems with unknown inputs require robust control strategies.
• Ensuring secure communication and state estimation is critical for MASs performance.

Purpose of the Study:

• To investigate the secure control problem for Lipschitz nonlinear descriptor MASs under DoS attacks.
• To develop a distributed control scheme that guarantees asymptotic consensus.
• To address unknown inputs and disturbances in both state and output equations.

Main Methods:

• Design of a local unknown input observer (UIO) for each follower agent.
• Utilizing an interval observer for simultaneous estimation of system state, measurement noise, and unknown inputs.
• Development of a distributed compensation controller based on the UIO.
• Stability analysis considering switching systems and different DoS attack types.

Main Results:

• The proposed UIO effectively estimates system states, noise, and unknown inputs.
• The distributed controller achieves asymptotic consensus in leader-following MASs under DoS attacks.
• The control scheme demonstrates robustness against connectivity-maintaining and connectivity-paralyzing DoS attacks.
• Stability analysis confirms the effectiveness of the closed-loop system.

Conclusions:

• The UIO-based distributed secure control scheme is effective for nonlinear descriptor MASs under DoS attacks.
• The proposed method enhances the security and reliability of multiagent coordination.
• Simulation results validate the practical applicability and performance of the developed approach.