The ordinary Takagi-Sugeno (TS) fuzzy models have provided an approach to represent complex nonlinear systems a set of linear sub-models by using sets and reasoning. In this paper, stochastic Hopfield neural networks with time-varying delays (SFVDHNNs) are studied. model SFVDHNN is first established as modified TS in which the consequent parts composed delays. Secondly, global exponential stability mean square for studied Lyapunov-Krasovskii approach. Stability criterion derived terms matrix...

A mathematical model for the TiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> thin-film memristive devices found by Hewlett Packard Labs is proposed in this brief. By taking current passing through device into consideration and introducing two adjustable parameters, a novel window function presented such that resolution of boundary lock, full scalability, nonlinear ionic effects are simultaneously achieved. comparison with some...

This paper focuses on studying the <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> and generalized xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> filtering problems for a class of delayed neural networks. The time-varying delay is only required to be continuous bounded. Delay-dependent criteria are proposed such that resulting error system globally exponentially stable with...

This brief considers the guaranteed H∞ performance state estimation problem of delayed static neural networks. An Arcak-type estimator, which is more general than widely adopted Luenberger-type one, chosen to tackle this issue. A delay-dependent criterion derived under error system globally asymptotically stable with a prescribed performance. It shown that design suitable gain matrices and optimal index are accomplished by solving convex optimization subject two linear matrix inequalities....

This study focuses on studying the asymptotical stability analysis problem for discrete-time systems with time-varying delay. By utilising S-procedure and an inequality technique, a novel delay-dependent criterion is derived in terms of two linear matrix inequalities. Since no slack variable introduced, less decision variables are involved condition burden numerical computation thus reduced. It also rigorously proved that authors' result conservative than some recent ones. Furthermore,...

This brief studies the guaranteed <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> performance state estimation problem of delayed static neural networks. The single- and double-integral terms in time derivative Lyapunov functional are handled by reciprocally convex combination a new integral inequality, respectively. A delay-dependent design criterion is established such that error...

The problem of delay-dependent robust fuzzy control for stochastic nonlinear systems with parameter uncertainties and time-varying delay is considered. A generalised Takagi-Sugeno model introduced to represent a system in which the consequent parts are composed set uncertain systems. Delay-dependent stability criterion first obtained such that all admissible uncertainties, overall asymptotically stable mean square. Then, based on parallel distributed compensation scheme, state feedback...

This paper focuses on studying the H∞ state estimation of generalised neural networks with interval time-varying delays. The integral terms in time derivative Lyapunov–Krasovskii functional are handled by Jensen's inequality, reciprocally convex combination approach and a new Wirtinger-based double inequality. A delay-dependent criterion is derived under which error system globally asymptotically stable performance. proposed conditions represented linear matrix inequalities. Optimal norm...

Traditional networks rely on aggregate routing and decentralized control to achieve scalability. On the contrary, software-defined near optimal network performance policy-based management through per-flow centralized control, which however face scalability challenge due (1) limited TCAM on-die memory for storing forwarding table (2) communication/computation overhead at controller. This paper presents a novel hybrid switching design, integrates traditional SDN purpose of achieving both...