In this paper, synchronization of an inertial neural network with time-varying delays is investigated. Based on the variable transformation method, we transform second-order differential equations into first-order equations. Then, using suitable Lyapunov-Krasovskii functionals and Jensen's inequality, criteria are established in terms linear matrix inequalities. Moreover, a feedback controller designed to attain between master slave models, ensure that error model globally asymptotically...

This paper is mainly concerned with the synchronization problem of reaction-diffusion neural networks (RDNNs) delays and its direct application in image secure communications. An adaptive control designed without a sign function which controller gain matrix time. The criteria are established for an error model derived from master-slave models through solving set linear inequalities by constructing suitable novel Lyapunov-Krasovskii functional candidate, Green's formula, Wirtinger's...

This paper aims to address the stabilization problem of permanent magnet synchronous motor (PMSM) based wind energy conversion system (WECS) through a novel adaptive fractional fuzzy integral sliding mode control scheme in contrast traditional integer order schemes. The main objective modeling for nonlinear PMSM is enhance convergence rate which effectively better when compared In addition, this intensively investigates performance controllers both and surface-mounted PMSM-based WECS...

The main concern of this paper is to design the efficient sampled-data controller scheme that resolves stabilization issue a surface-mounted permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS). Distinct existing schemes on WECS, present contains both continuous (plant) and discrete (control) type signals which outperforms traditional with or signals. Besides fundamental analysis closed-loop under designed controllers explore dynamical characteristics...

The main aim of this article is to design the observer-based event-triggered (ET) fuzzy integral sliding mode control (ETFISMC) for generalized Takagi-Sugeno (T-S) system which formulated from a nonlinear through blending membership grades altogether. Distinct existing controller schemes, proposed (FISMC) scheme contains ET condition needs be satisfied activation controller. Besides that, network-induced communication constraints are considered into derivation sufficient conditions, and then...

The main objective of this study is to focus on dynamical analysis full-scale direct-driven permanent-magnet-synchronous-generator-based wind energy conversion systems (WECSs) configured with back-to-back voltage source converters. mathematical methods are employed discuss the properties WECSs in a theoretical manner, which proven be cost effective. It can seen that considered model contains nonlinearities terms currents and rotational speed shaft results nonlinearities. Takagi–Sugeno fuzzy...

This study aims to introduce a user-controlled chaotic fuzzy cellular neural network (FCNN) model that incorporates the effects of stochastic (external) disturbances and proportional delay. Theoretically, synchronization analysis is considerably more effective approach exploring dynamical characteristics FCNN with without external control input. models suitable input help possess traditional but potential handle other uncertainties. Besides, this focuses on achieving within prescribed-time...

This brief is mainly concerned with a series of dynamical analyses the Hindmarsh-Rose (HR) neuron state-dependent time delays. The focus on stability, Hopf bifurcation, as well chaos and control. Through stability bifurcation analysis, we determine that increasing external current causes excitable HR to exhibit periodic or chaotic bursting/spiking behaviors emit subcritical bifurcation. Furthermore, by choosing fixed varying delay, affected. We analyze under through series, diagram, Lyapunov...

This study aims to investigate the synchronization of user-controlled and uncontrolled neural networks (NNs) that exhibit chaotic solutions. The idea behind focusing on problems is design user-desired NNs by emulating dynamical properties traditional rather than redefining them. Besides, instead conventional NNs, this considers with significant factors such as time-dependent delays uncertainties in coefficients. In addition, information transmission over may experience stochastic...

Abstract This study proposes a mathematical model for HIV-1 infection and investigates their qualitative dynamics such as stability, bistability, bifurcation properties. The builds on existing models by incorporating the effects of antiretroviral therapy (ART) modeling immune-cell through non-monotone functional responses, capturing may help to gain insights into immune activation behaviors. Further, this discusses presence bistability phenomena, indicating that can switch between multiple...

In this paper, a mathematical model for HIV‐1 infection with antibody, cytotoxic T‐lymphocyte immune responses and Beddington–DeAngelis functional response is investigated. The stability of the infection‐free infected steady states basic reproduction number R 0 identified proposed system. If < 1, then there an state, which locally asymptotically stable. Further, state stable > 1 in absence delay. We use Nyquist criterion to estimate length delay continues hold. Also existence Hopf...

This study addresses the event‐triggered (ET)‐based stabilisation problem of neural‐network‐based control system (NNBCS) and illustrates direct application to wind power generation system. In this regard, novel ET‐based controller algorithm is designed for NNBCS instead sampled data (sampling will be initiated at a fixed rate regardless whether it required or not) which reduces computation complexity by avoiding unnecessary details over transmission. The stability conditions are expressed in...

This paper deals with stability and Hopf bifurcation analyses of a mathematical model HIV infection of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mtext>CD</mml:mtext><mml:msup><mml:mrow><mml:mn mathvariant="normal">4</mml:mn></mml:mrow><mml:mrow><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math>T-cells. The is based on system delay differential equations logistic growth term antiretroviral treatment discrete time delay, which plays main role in changing the each...