Robust passivity analysis of uncertain neutral-type neural networks with distributed interval time-varying delay under the effects of leakage delay
نویسندگان
چکیده
This paper deals with the problem of delay-range-dependent robust passivity analysis uncertain neutral-type neural networks distributed interval time-varying delay under effects leakage delay. The uncertainties consideration are norm-bounded and restriction on derivative discrete delays is removed, which means that a fast allowed. By applying novel Lyapunov-Krasovskii functional approach, improved integral inequalities, Leibniz-Newton formula utilization zero equation, then new criterion established in terms linear matrix inequalities (LMIs). Furthermore, some less conservative delay-dependent criteria obtained. Moreover, we derived for Besides, Finally, five numerical examples given to show effectiveness conservativeness proposed methods.
منابع مشابه
Delay-Range-Dependent Global Robust Passivity Analysis of Discrete-Time Uncertain Recurrent Neural Networks with Interval Time-Varying Delay
This paper examines a passivity analysis for a class of discrete-time recurrent neural networks DRNNs with norm-bounded time-varying parameter uncertainties and interval time-varying delay. The activation functions are assumed to be globally Lipschitz continuous. Based on an appropriate type of Lyapunov functional, sufficient passivity conditions for the DRNNs are derived in terms of a family o...
متن کاملNew Results on Passivity Analysis of Stochastic Neural Networks with Time-Varying Delay and Leakage Delay
The passivity problem for a class of stochastic neural networks systems (SNNs) with varying delay and leakage delay has been further studied in this paper. By constructing a more effective Lyapunov functional, employing the free-weighting matrix approach, and combining with integral inequality technic and stochastic analysis theory, the delay-dependent conditions have been proposed such that SN...
متن کاملDelay-Dependent Stability Analysis for Neutral Type Neural Networks with Uncertain Parameters and Time-Varying Delay
In this paper, delay-dependent stability analysis for neutral type neural networks with uncertain paramters and time-varying delay is studied. By constructing new Lyapunov-Krasovskii functional and dividing the delay interval into multiple segments, a novel sufficient condition is established to guarantee the globally asymptotically stability of the considered system. Finally, a numerical examp...
متن کاملDelay-dependent stability criteria for neutral-type neural networks with interval time-varying delay signals under the effects of leakage delay
We examine the stability problem for delayed neutral-type neural networks (NNs) with interval time-varying delay signals under the effects of leakage term by constructing a suitable Lyapunov–Krasovskii functionals (LKFs) with the tripleand four-integral terms and using the famous Jensen inequality, Wirtinger single integral inequality (WSII), and Wirtinger double integral inequality (WDII), com...
متن کاملNew Robust Stability Criteria for Uncertain Neutral Time-Delay Systems With Discrete and Distributed Delays
In this study, delay-dependent robust stability problem is investigated for uncertain neutral systems with discrete and distributed delays. By constructing an augmented Lyapunov-Krasovskii functional involving triple integral terms and taking into account the relationships between the different delays, new less conservative stability and robust stability criteria are established first using the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The journal of mathematics and computer science
سال: 2021
ISSN: ['2008-949X']
DOI: https://doi.org/10.22436/jmcs.026.03.06