Observer-Based Adaptive Sampled-Data Event-Triggered Distributed Control for Multi-Agent Systems

The practical leader-follower issue is addressed for multi-agent systems via adaptive event-triggered observer-based distributed control. Besides the network transmission delay is considered when the data is transferred from sensor to controller in a shared network communication. Furthermore, in order to avoid unnecessary information transmissions among agents and achieve better resource utilization, we introduce the developed event-triggered condition with dynamically adjustable threshold parameter. And as a expansion, based on the proposed controller and event-triggered scheme, we study the chaotic system. Finally, simulations which contain a linear system and a Chua's circuit system are performed to demonstrate the availability of the proposed theoretical results.