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In this paper, the distributed filtering problem is addressed for a class of discrete time-varying systems in sensor networks. The stochastic nonlinearities, which are described by first and second-order statistics, enter into both the target plant and the sensor measurements. The goal of the proposed problem is to develop a distributed filter for each sensor node by making use of the topological...
This paper is concerned with the event-triggered consensus control problem for a class of discrete-time stochastic multi-agent systems. The purpose of the problem under consideration is to design both the output feedback controller and the threshold of the triggering condition such that the closed-loop system achieves the desired consensus in probability. By employing a discrete-time version of the...
In this paper, the problem of distributed fault detection and isolation (FDI) for a class of multi-agent system is considered. A residual generator is designed by using a geometric approach. By defining the unobservablility subspace of the LPV multi-agent system, we design a set of residual generators which are sensitive to some actuator fault and decoupled from noise and other faults. Due to the...
This paper is concerned with the finite-horizon recursive filtering problem for a class of nonlinear time-varying systems with missing measurements. The missing measurements are modeled by a series of mutually independent random variables obeying Bernoulli distributions with possibly different occurrence probabilities. Attention is focused on the design of a recursive filter such that, for the missing...
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