Consensus analysis via impulsive control for nonlinear hybrid singular switched multi-agent systems with event-triggered mechanism
Bhim Kumar, Muslim Malik
Abstract
Our research is focused on achieving consensus for non-linear singular switched multi-agent systems on arbitrary time scales. The hybrid control strategy that combines an impulsive controller with centralised and distributed event-triggered controllers is proposed. First, the Drazin-inverse approach is applied to transform the singular multi-agent switched system into a differential algebraic switched system. Then event-triggered schemes are applied to study the leader–follower consensus conditions. In the end, some simulation-based examples are given to verify the proposed results.
Topics & Concepts
Control theory (sociology)Nonlinear systemMechanism (biology)Multi-agent systemComputer scienceControl (management)Artificial intelligencePhysicsQuantum mechanicsDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationStability and Control of Uncertain Systems