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Model-based event-triggered multi-vehicle coordinated tracking control using reduced order models
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DOI：10.1016/j.jfranklin.2014.05.004.png)
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The coordinated tracking problem where a group of followers intercepts a dynamic leader is studied. It is shown in this paper that reduction of inter-agent communication is obtained and improved performance is achieved when each follower implements dynamical models of neighbors and by using an event-triggered control strategy that requires each agent to send measurement updates only when necessary. The results in this paper consider directed graphs and the possible existence of cycles. Performance bounds on the tracking error have been obtained, which are functions of the communication topology and the event thresholds. This approach is extended to consider measurement noise and similar bounds are presented for this case. Published by Elsevier Ltd. on behalf of The Franklin Institute.
Keyword:
DOUBLE-INTEGRATOR DYNAMICS
CONSENSUS
SYSTEMS
CONVERGENCE
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Model-Based Event-Triggered Control for Systems With Quantization and Time-Varying Network Delays具有量化和时变网络延迟的系统的基于模型的事件触发控制
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