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Consensus of Nonlinear Multiagent Systems With Grouping Via State-Constraint Impulsive Protocols
This study addresses the consensus problem in nonlinear multiagent systems by introducing novel state-constraint impulsive protocols. The research develops a grouping strategy and control protocols to enhance system efficiency and reduce equipment damage.
Area of Science:
- Control Theory
- Networked Systems
- Systems Engineering
Background:
- Investigating consensus in nonlinear multiagent systems is crucial for coordinated control.
- Existing methods may lack efficiency or robustness in complex scenarios.
- Grouping strategies can optimize communication and performance.
Purpose of the Study:
- To address the consensus problem in nonlinear multiagent systems with grouping.
- To propose novel state-constraint impulsive control protocols.
- To analyze systems with and without a leader agent.
Main Methods:
- Utilizing a judgement strategy for agent grouping.
- Developing two types of state-constraint impulsive control protocols (partial and full).
- Applying algebraic graph theory, Lyapunov stability theory, and matrix theory.
Main Results:
- Sufficient conditions for achieving consensus in grouped nonlinear multiagent systems are established.
- The proposed protocols effectively reduce communication costs.
- The control strategies minimize irreversible damage to equipment.
Conclusions:
- The developed theoretical results provide a feasible solution for consensus in nonlinear multiagent systems with grouping.
- Simulations confirm the effectiveness of the proposed methods.
- This work contributes to the advancement of coordinated control in complex systems.
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