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JACIII Vol.21 No.6 pp. 1111-1113
doi: 10.20965/jaciii.2017.p1111
(2017)

Letter:

Event-Triggered Quantizers for Network Traffic Reduction

Juan Rodriguez Ramirez*, Yuki Minami**, and Kenji Sugimoto*

*Graduate School of Information Science, Nara Institute of Science and Technology
8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan

**Graduate School of Engineering, Osaka University
2-1 Yamadaoka, Suita, Osaka 565-0871, Japan

Received:
May 23, 2017
Accepted:
July 19, 2017
Published:
October 20, 2017
Keywords:
networked control system, dynamic quantization, event-triggered mechanism, network traffic
Abstract

In the operation of networked control systems, signal quantization is a fundamental problem. Because a network can be shared, another important problem that affects the system performance is the network’s traffic congestion. The event-triggered quantizer is developed to reduce the effects of such problems. Its design problem is formulated, and it is solved using the differential evolution (DE) metaheuristic algorithm. The effectiveness of the event-triggered quantizer is verified through numerical examples.

References
  1. [1] J. Rodriguez Ramirez, Y. Minami, and K. Sugimoto, “Design of finite-level dynamic quantizers by using differential evolution algorithm,” In SICE Annual Conf. 2015, pp. 841-844, July 2015.
  2. [2] J. Rodriguez Ramirez, Y. Minami, and K. Sugimoto, “Design of finite-level dynamic quantizers by using covariance matrix adaptation evolution strategy,” Int. J. of Innovative Computing, Information and Control, Vol.12, No.3, pp. 795-808, 2016.
  3. [3] S. Azuma and T. Sugie, “Optimal dynamic quantizers for discretevalued input control,” Automatica, Vol.44, No.2, pp. 396-406, 2008.

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Last updated on Dec. 14, 2017