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This paper is concerned with the distributed sampled-data H∞ state estimation problem for a class of discrete time-invariant systems over sensor networks. The plant under consideration is sampled with a fast period. The sampling intervals of the measurements are integer multiples of the fast period and the sampling processing is characterized by a Markov chain. In order to estimate the plant state,...
In this paper, the event-triggered filtering problem is investigated for a class of nonlinear multi-rate systems. The nonlinearity is represented by a linear form with a norm-bounded uncertainty. In order to deal with the uncertainty resulting from the nonlinearities, a new augmentation approach is proposed to transform the multi-rate nonlinear system into a single-rate system. Based on the measurement...
This paper is concerned with the security-guaranteed filtering problem for a class of discrete spatial-temporal systems with deception attacks. By reorganizing the state variables, the spatial-temporal system is first transformed into a linear discrete-time system. Then, by using a novel energy-like function technique, a sufficient condition is derived under which the filtering error dynamics is guaranteed...
In this paper, the envelope-constrained ℋ∞ filtering problem is investigated for a class of discrete time-varying stochastic systems with missing measurements. A sequence of random variables obeying a Bernoulli distribution is utilized to govern the phenomenon of missing measurements. A modified envelope-constrained performance criterion is proposed to better describe the transient dynamics of the...
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...
This paper is concerned with the variance-constrained controller design problem for a class of uncertain nonlinear stochastic systems with possible actuator faults. The stochastic nonlinearities described by statistical means are quite general that include several well-studied classes of nonlinearities as special cases. A model of actuator failures is adopted which is more practical than the traditional...
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