Abstract
In large scale wireless sensor and actuator network (WSAN), severe packet dropout and latency make challenges in designing centralized control scheme. Moreover, if system runs stably with little fluctuation of states, period sampling always leads to waste of energy and communication resources. To this end, adaptive distributed event-triggered collaborative control scheme is proposed. In this scheme, distributed event-triggered (DET) mechanism is replaced by adaptive DET mechanism with variable triggering threshold in order to reduce updates of controller law further. Based on local information, distributed collaborative control (DCC) is carried out and formulated as optimization problem. And an improved particle swarm optimization (PSO) with linearly decreasing inertia weight is used to make a good tradeoff between global and local search ability. Simulation shows that, comparing with DET scheme, while guaranteeing required closed-loop performance, ADET scheme needs fewer executions of control task.
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Li, F., Fu, J., Du, D., Bao, W. (2014). Adaptive Distributed Event-Triggered Collaborative Control with WSAN. In: Fei, M., Peng, C., Su, Z., Song, Y., Han, Q. (eds) Computational Intelligence, Networked Systems and Their Applications. ICSEE LSMS 2014 2014. Communications in Computer and Information Science, vol 462. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45261-5_55
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DOI: https://doi.org/10.1007/978-3-662-45261-5_55
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