Consensus Problems in Multiagent Systems with Event-Triggered Dynamic Quantizers-Reference-Cited by-同舟云学术

Consensus Problems in Multiagent Systems with Event-Triggered Dynamic Quantizers

Published:2014 Issue: Volume:2014 Page:1-8
ISSN:1024-123X
Container-title:Mathematical Problems in Engineering
language:en
Short-container-title:Mathematical Problems in Engineering

Author:

Luo Changgeng¹,Wang Xinsheng²,Ren Yu³^ORCID

Affiliation:

1. Department of Physics & Electronic Engineering College, Nanyang Normal University, Nanyang 473000, China

2. School of Information and Electrical Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China

3. School of Astronautics, Harbin Institute of Technology, Harbin 150001, China

Abstract

Considering the constrained communication data rate and compute capability that commonly exists in multiagent systems, this paper modifies a current consensus strategy by introducing a kind of dynamic quantizer in both state feedback and control input and updates dynamic quantizers by employing event-triggered strategies, thus forming a new quantitative consensus strategy. The numerical simulation example is built for state quantization and the results show the consistency with expectation.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Link

http://downloads.hindawi.com/journals/mpe/2014/162658.pdf

Reference21 articles.

1. Fast and robust fixed-point algorithms for independent component analysis

2. Robust Adaptive Neural Network Control for a Class of Uncertain MIMO Nonlinear Systems With Input Nonlinearities

3. Study on the Nonsingular Problem of Fractional-Order Terminal Sliding Mode Control

4. Force Control of an Electrohydraulic Actuator Using a Fractional-Order Controller

5. Review on Methods to Fix Number of Hidden Neurons in Neural Networks

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