Robust Filtering of Discrete-Time Linear Systems with Parameter Dependent Lyapunov Functions
SIAM Journal on Control and Optimization
Technical communique: H∞ filtering for discrete-time systems with randomly varying sensor delays
Automatica (Journal of IFAC)
H∞ filtering of network-based systems with random delay
Signal Processing
Brief paper: Observer-based networked control for continuous-time systems with random sensor delays
Automatica (Journal of IFAC)
Brief paper: Networked-based robust H∞ control design using multiple levels of network traffic
Automatica (Journal of IFAC)
H∞ fuzzy filtering of nonlinear systems with intermittent measurements
IEEE Transactions on Fuzzy Systems
Improved robust energy-to-peak filtering for uncertain linear systems
Signal Processing
IEEE Transactions on Signal Processing
Improved robust H2 and H∞ filtering for uncertain discrete-time systems
Automatica (Journal of IFAC)
Brief On robust stabilization of Markovian jump systems with uncertain switching probabilities
Automatica (Journal of IFAC)
Network-based robust H∞ control of systems with uncertainty
Automatica (Journal of IFAC)
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This paper is concerned with the problem of designing H"~ filters for a class of nonlinear networked control systems (NCSs) with transmission delays and packet losses. This problem is investigated under the following assumptions: (i) the delay is constant and known, (ii) the packet-loss process is described by a Bernoulli distributed white sequence, and (iii) the probability of the packet-loss process is unknown but bounded. The first two assumptions are well known in the literature of NCSs, while the last one may often arise in practical networks due to modeling or measurement errors. Under the aforementioned assumptions, delay-dependent conditions for the solvability of the addressed problem are presented in terms of linear matrix inequalities. Numerical examples are also included to illustrate the effectiveness of the proposed method.