Automatica (Journal of IFAC)
Robust peak-to-peak filtering for Markov jump systems
Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
H∞ filtering for networked systems with partly known distribution transmission delays
Information Sciences: an International Journal
Event-based H∞ filtering for networked system with communication delay
Signal Processing
Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements
Automatica (Journal of IFAC)
ACM Transactions on Sensor Networks (TOSN)
Composite anti-disturbance control for Markovian jump nonlinear systems via disturbance observer
Automatica (Journal of IFAC)
Unbiased estimation of Markov jump systems with distributed delays
Signal Processing
Information Sciences: an International Journal
Hi-index | 35.70 |
This paper discusses the fixed-order robust H∞ filtering problem for a class of Markovian jump linear systems with uncertain switching probabilities. The uncertainties under consideration are assumed to be norm-bounded in the system matrices and to be elementwise bounded in the mode transition rate matrix, respectively. First, a criterion based on linear matrix inequalities is provided for testing the H∞ filtering level of a filter over all the admissible uncertainties. Then, a sufficient condition for the existence of the fixed-order robust H∞ filters is established in terms of the solvability of a set of linear matrix inequalities with equality constraints. To determine the filter, a globally convergent algorithm involving convex optimization is suggested. Finally, a numerical example is used to illustrate that the developed theory is more effective than the existing results.