Non‐Fragile Extended Dissipativity Control Design for Generalized Neural Networks with Interval Time‐Delay Signals
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Publication:5194872
DOI10.1002/asjc.1752zbMath1422.93077OpenAlexW2802106111WikidataQ129885896 ScholiaQ129885896MaRDI QIDQ5194872
Raman Manivannan, Cao, Jinde, Rajendran Samidurai, Ahmed Alsaedi, Fuad Eid S. Alsaadi
Publication date: 17 September 2019
Published in: Asian Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/asjc.1752
non-fragile controlreciprocally convex approachgeneralized neural networksextended dissipativityinterval time delays
Learning and adaptive systems in artificial intelligence (68T05) Feedback control (93B52) (H^infty)-control (93B36) Control/observation systems governed by ordinary differential equations (93C15)
Related Items (7)
Extended dissipativity analysis for T-S fuzzy systems based on reliable memory control and aperiodic sampled-data method ⋮ New delay-dependent conditions for finite-time extended dissipativity based non-fragile feedback control for neural networks with mixed interval time-varying delays ⋮ An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria ⋮ Further improvement of finite-time boundedness based nonfragile state feedback control for generalized neural networks with mixed interval time-varying delays via a new integral inequality ⋮ Lag projective synchronization of fractional-order delayed chaotic systems ⋮ Stability analysis of interval time-varying delayed neural networks including neutral time-delay and leakage delay ⋮ \(H_{\infty}\) guaranteed cost fault-tolerant control of double-fault networked control systems: piecewise delay method
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