Abstract and Applied Analysis
- Abstr. Appl. Anal.
- Volume 2014 (2014), Article ID 735232, 12 pages.
Sampled-Data Consensus for Nonlinear Multiagent Dynamical Systems via Reliable Control
The paper studies sampled-data consensus for nonlinear multiagent dynamical systems. A distributed linear reliable consensus protocol is designed, where probabilistic actuators with different failure rates and random network-induced delay are considered. Based on the input delay approach, a new distribution-based fault multiagent system model with random delay is proposed. By using the stochastic analysis technique and Kronecker product properties, some consensus conditions are derived in terms of linear matrix inequalities, and the solvability of derived conditions depends on not only the failure rate of the actuator but also on the probability of the delay. Finally, a numerical example is provided to demonstrate the effectiveness of the obtained theoretical results.
Abstr. Appl. Anal., Volume 2014 (2014), Article ID 735232, 12 pages.
First available in Project Euclid: 2 October 2014
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Li, Hongjie. Sampled-Data Consensus for Nonlinear Multiagent Dynamical Systems via Reliable Control. Abstr. Appl. Anal. 2014 (2014), Article ID 735232, 12 pages. doi:10.1155/2014/735232. https://projecteuclid.org/euclid.aaa/1412277094