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This paper studies the problem of H∞ filtering in networked control systems (NCSs) with multiple packet dropouts.
This paper is concerned with an H∞ filtering problem for the network-based linear systems with multiple packet dropouts and random delays.
This paper addresses the optimal filtering problem for a class of uncertain dynamical systems with multiple packet dropouts and finite-step correlated observation noises.
When there exist multiple packet dropouts in the system output, the original system is converted into an auxiliary stochastic uncertain system by the augmentation of system states and measurements.
In this paper, the optimal robust non-fragile Kalman-type recursive filtering problem is studied for a class of uncertain systems with finite-step autocorrelated measurement noises and multiple packet dropouts.
The optimal ({H_2}) filtering for networked system with multiple packet dropouts has been considered in [75] where stochastic packed loss is assumed to follow a Bernoulli distribution.
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Multiple data packet dropouts occur randomly in both control channel and measurement channel.
In this paper, we present a novel H∞ control scheme for a networked control system (NCS) with multiple data packet dropouts.
This paper deals with the dissipative problem for uncertain time-delay networked control systems with both multiple measurement and control packet dropouts.
The uncertainty is assumed to satisfy a dissipative inequality, and the multiple measurement and control packet dropouts are described by two independent Bernoulli distributed sequences.
The multirate sampled data are transmitted to a filter through multiple communication channels with network-induced packet dropouts and time-varying transmission delays.
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