This note concerns the problem of the robust stability of uncertain neutral systems with time-varying delay and saturating actuators. The system considered is continuous in time with norm bounded parametric uncertainties. By incorporating the free weighing matrix approach developed recently, some new delay-dependent stability conditions in terms of linear matrix inequalities (LMIs) with some tu...

In this paper we present a design method of Sliding Mode Observer (SMO) applied to reconstruct both actuator and sensor faults for a class of output time-delay systems. To guarantee the quadratically stability of the estimation error dynamics, sufficient conditions are developed with the LyapunovKrasovskii approach arising a set of Linear Matrix Inequality (LMI) optimization. Applying the equiv...

The present paper investigates the problem of robustly decentralized H state feedback controller with state variance constraint design for a class of stochastic large-scale uncertain time-delay systems. The considered time-delay parameters appear in the interconnections between individual subsystems and uncertainties are allowed to be unstructured but time-varying and normbounded. The sufficien...

This paper concerns with a new class of adaptive gain-scheduled H∞ control of linear parametervarying (LPV) systems with time-delayed elements. The plants in this manuscript are assumed to be polytopic LPV systems which have time-delayed components, but the scheduled parameters and time-delayed elements in those plants are not known a priori, and thus, the conventional gain-scheduled control st...

The problem of stochastic stability is investigated for a class of neural networks with both Markovian jump parameters and continuously distributed delays. The jumping parameters are modeled as a continuous-time, finite-state Markov chain. By constructing appropriate LyapunovKrasovskii functionals, some novel stability conditions are obtained in terms of linear matrix inequalities LMIs . The pr...

In this paper, we propose a control structure for a class of systems with Lipschitz nonlinearity and unknown time-varying input delay. This scheme considers the worst case scenario in control design with Truncated Prediction Feedback (TPF) approach, and takes into account the information of the lower bound of delay in the stability analysis. A finite-dimensional controller is constructed, requi...

Although adaptive control theory offers mathematical tools to achieve required system performance without excessive dependence on modeling, its application to safety-critical systems can be limited by the presence of unmodeled dynamics. This paper examines the robustness to unmodeled dynamics of a recently developed derivative-free adaptive control law. In contrast to derivative-based adaptive ...

Global asymptotic stability conditions for vector nonlinear stochastic systems with multiple state delays are obtained based on the convergence theorem for semimartingale inequalities, without assuming the Lipschitz conditions for nonlinear drift functions. Obtaining the delay-dependent stability conditions for nonlinear stochastic time-delay systems leads to a significant advantage in the nonl...

In this paper, an observer–based controller is designed for the problem of congestion control . In TCP/IP networks, the packets-dropping probability function is considered as a control input. Therefore, the work described here is to design robust observer controller, which is aimed at robust stabilization of network system with uncertainties, input delay and a saturated input. The controller is...

Abstract: In this paper, the problem of delay-dependent stabilization for singular systems with multiple internal and external incommensurate constant point delays is investigated. The condition when a singular system subject to point delays is regular independent of time delays is given and it can be easily test with numerical or algebraic methods. Based on LyapunovKrasovskii functional approa...