n this paper, an observer-based adaptive fuzzy-neural control is presented for a class of nonlinear systems with unknown time delays. The state observer is first designed, and then the controller is designed via the adaptive fuzzy-neural control method based on observer states. Both the designed observer and controller are independent of time delays. Using an appropriate LyapunovKrasovskii func...

Synchronization in a bidirectionally coupled system with a finite time-delay in coupling is studied using Josephson junction as a model system. Using the LyapunovKrasovskii method a sufficient condition for the stability of synchronization is obtained and it is found to be independent of the time-delay. The sum of the Lyapunov exponents transverse to the synchronization manifold is evaluated. N...

Quantization effects are inevitable in networked control systems (NCSs). These quantization effects can be reduced by increasing the number of quantization levels. However, increasing the number of quantization levels may lead to network congestion, (i.e., the network needs to transfer more information than its capacity). In this paper, we investigate the problem of designing a robust H∞output ...

In this study, an adaptive Neural Network (NN) based backstepping controller is proposed to realize chaos synchronization of two gap junction coupled FitzHugh-Nagumo (FHN) neurons with uncertain time delays. In the designed backstepping controller, a simple Radial Basis Function (RBF) NN is used to approximate the uncertain nonlinear part of the error dynamical system. The weights of the NN are...

In this work, we propose a control strategy by state convergence applied to bilateral control of a nonlinear teleoperator system with constant delay. The bilateral control of the teleoperator system considers the case when the human operator applies a constant force on the local manipulator and when the interaction of the remote manipulator with the environment is considered passive. The stabil...

Abstract In this paper, the robust stability of T-S fuzzy uncertain system for neural networks with time-varying delays is investigated. The constraint on the time-varying delay function is removed, which means that a fast time-varying delay is allowed. Based on the LyapunovKrasovskii functional techniques and integral inequality approach (IIA), novel robust stability criteria have been derived...

In this paper we deal with switching fuzzy filtering design problems for a class of discrete-time nonlinear stochastic systems with time-varying distributed delays. To investigate the system stability, the considered nonlinear stochastic systems is presented by switching fuzzy stochastic models. To relax the stability conditions, an improved free-weighting matrix technique and the piecewise Lya...

In this paper, a novel control scheme is proposed to guarantee global asymptotic stability of bilateral teleoperation systems that are subjected to time-varying time delays in their communication channel and sandwich linearity in their actuators. This extends prior art concerning control of nonlinear bilateral teleoperation systems under time-varying time delays to the case where the local and ...

This paper revisits the problem of delaydependent dynamic output feedback control for a class of uncertain discrete-time switched linear state-delayed systems, where the state delay is assumed to be time-varying and of an intervallike type, which means that both the lower and upper bounds of the time-varying delay are available and the parameter uncertainties are assumed to have a structured li...

This paper addresses exponential stability of linear networked control systems (NCS). More specifically, the paper considers a continuous-time linear plant in feedback with a linear sampled-data controller with an unknown time varying sampling rate, the possibility of data packet dropout, and an uncertain time varying delay. The main contribution of this paper is the derivation of new sufficien...