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In this paper, the robust variance-constrained composite control problem is investigated for linear uncertain discrete-time stochastic systems. The parameter uncertainties are allowed to be norm-bounded and enter into the state matrix. The purpose of this problem is to design a disturbance observer to estimate the disturbance generated by an exogenous system, then construct the control strategy by...
This paper is concerned with the state estimation problem of a class of uncertain Markovian jump neutral-type stochastic systems. This kind of systems involves parameter uncertainties, noise disturbances and time-delay. Based on Lyapunov-Krasovskii functional approach, a delay-dependent condition is derived for the existence of state observer. The desired gain matrix and state-feedback controller...
A data-driven based adaptive sensor fault diagnosis (FD) and compensation scheme for stochastic distribution control (SDC) systems is studied in this paper, where an augmented descriptor model is employed. Unlike traditional SDC systems, the driven information is the output probability density function (OPDF), which is a kind of image mapping information to the true output values. A mixed 2-step adaptive...
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