Coordinated control of quasilinear multiagent systems via output feedback predictive control

Area of Science:

• Control Theory
• Systems Engineering
• Networked Systems

Background:

• Quasilinear multiagent systems (QMASs) present challenges in achieving coordinated control.
• Simultaneous stability and output consensus (SSOC) are critical performance metrics for QMASs.
• Existing control strategies may not effectively address both coordination and SSOC concurrently.

Purpose of the Study:

• To develop an output feedback predictive control (OFPC) strategy for QMASs.
• To implement coordinated control that achieves simultaneous stability and output consensus (SSOC).
• To provide a criterion for ensuring SSOC in the closed-loop QMAS.

Main Methods:

• Utilizing predictive control to minimize a cost function focused on coordination.
• Designing an output feedback controller for QMASs.
• Deriving a stability and consensus criterion for the closed-loop system.

Main Results:

• The proposed OFPC strategy effectively implements coordination among QMASs.
• A criterion is derived to guarantee simultaneous stability and output consensus (SSOC).
• The strategy's availability is demonstrated through two illustrative examples.

Conclusions:

• The OFPC strategy is a viable approach for achieving coordinated control in QMASs.
• The developed criterion ensures robust performance regarding stability and consensus.
• This work contributes to the advancement of control methodologies for complex multiagent systems.