Distributed Fault Estimation of Nonlinear Networked Systems: Application to Robotic Manipulator

Juntong Chen, Rongyao Ling, Hongjie Ni and Dan Zhang

Mathematical Problems in Engineering, 2014, vol. 2014, 1-8

Abstract:

This paper is concerned with the distributed fault estimation for a class of nonlinear networked systems, where the T-S fuzzy model is utilized to approximate the nonlinear plant and the whole fault estimation task is operated by a wireless sensor network. Due to the limited power in sensors, signal is quantized before transmission. Based on the Lyapunov stability theory and the robust control approach, a sufficient condition is obtained such that the estimation error system is asymptotic stable with a prescribed performance level. Finally, a case study on the actuator fault estimation of robotic manipulator is given to show the effectiveness of the proposed design.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:121636

DOI: 10.1155/2014/121636

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