Improved Extended State Observer-Based Consensus Control for Stochastic Multiagent Systems via Dual-Terminal...

Area of Science:

• Control Theory
• Nonlinear Systems
• Stochastic Processes

Background:

• Multiagent systems are crucial in various fields, but face challenges with uncertainties and stochastic disturbances.
• Achieving consensus in these systems requires robust control strategies that minimize communication overhead.

Purpose of the Study:

• To propose a novel consensus control strategy for uncertain nonlinear stochastic multiagent systems.
• To develop an adjustable-time-varying-gain-based event-triggered extended state observer (ATVG-ETESO) for enhanced state estimation.
• To introduce a dual-terminal event-triggered mechanism (DTETM) for reduced communication burden.

Main Methods:

• The study employs an ATVG-ETESO to estimate internal uncertainties and external stochastic disturbances.
• An adaptive threshold in the DTETM is utilized to minimize communication load on input and output channels.
• Theoretical analysis is performed to ensure bounded estimation and consensus errors.

Main Results:

• The ATVG-ETESO effectively estimates system uncertainties and disturbances.
• The adjustable time-varying gain prevents peaking and speeds up convergence of estimation errors.
• The DTETM significantly reduces communication requirements.

Conclusions:

• The proposed consensus control strategy is effective for uncertain nonlinear stochastic multiagent systems.
• The developed ATVG-ETESO and DTETM offer improved performance and efficiency.
• Simulation examples validate the theoretical findings and practical applicability.