Effects of leakage delays and impulsive control in dissipativity analysis of Takagi–Sugeno fuzzy neural networks with randomly occurring uncertainties

In this paper, dissipativity analysis problem is investigated for T-S fuzzy neural networks with leakage delays and impulsive effects. Sufficient conditions for the dissipativity criteria are derived by using Lyapunov–Krasovskii functional having triple and four integral terms with free weighting ma...

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Bibliographic Details
Published in:Journal of the Franklin Institute 2017-05, Vol.354 (8), p.3574-3593
Main Authors: Samidurai, R., Senthilraj, S., Zhu, Quanxin, Raja, R., Hu, Wei
Format: Article
Language:English
Subjects:
Artificial neural networks
Computer simulation
Control systems
Criteria
Delay
Dissipation
Energy dissipation
Fuzzy logic
Leakage
Neural networks
Uncertainty
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Summary:In this paper, dissipativity analysis problem is investigated for T-S fuzzy neural networks with leakage delays and impulsive effects. Sufficient conditions for the dissipativity criteria are derived by using Lyapunov–Krasovskii functional having triple and four integral terms with free weighting matrix method. The obtained results are dependent on the the leakage delay and upper bound of time-varying delay. Moreover, some comparisons are made to contrast to some of existing results about strictly (Q,S,R)−ϑ-dissipativity for the concerned neural networks. Finally, some numerical examples and their computer simulations are given to show the effectiveness of the proposed criteria.
ISSN:0016-0032
1879-2693
0016-0032
DOI:10.1016/j.jfranklin.2017.02.027