Robust reliable H∞ control for neural networks with mixed time delays

Yuanhua Du, Xinzhi Liu and Shouming Zhong

Chaos, Solitons & Fractals, 2016, vol. 91, issue C, 1-8

Abstract: This paper considers the problem of robust reliable H∞ control for neural networks. The system has time-varying delays, parametric uncertainties and faulty actuators. The faulty actuators are considered as a disturbance signal to the system which is augmented with system disturbance input. Based on the LMI technique and the Lyapunov stability theory, a new set of sufficient conditions is obtained for the existence of the robust reliable H∞ controller. An example is also presented illustrate the results.

Keywords: Neural networks; Linear matrix inequality; Reliable H∞ control; Time-varying delays; Lyapunov functional (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:91:y:2016:i:c:p:1-8

DOI: 10.1016/j.chaos.2016.04.009

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