Filtering for uncertain 2-D discrete systems with state delays
Signal Processing
Robust mixed generalized H2/H∞ filtering of 2-D nonlinear fractional transformation systems
IEEE Transactions on Signal Processing
Brief H∞ control and robust stabilization of two-dimensional systems in Roesser models
Automatica (Journal of IFAC)
Brief On robust stabilization of Markovian jump systems with uncertain switching probabilities
Automatica (Journal of IFAC)
Parity space-based fault detection for Markovian jump systems
International Journal of Systems Science
Robust filtering for discrete time piecewise impulsive systems
Signal Processing
Brief paper: New results on stabilization of Markovian jump systems with time delay
Automatica (Journal of IFAC)
H∞ filtering with stochastic sampling
Signal Processing
Robust H∞ finite-horizon filtering with randomly occurred nonlinearities and quantization effects
Automatica (Journal of IFAC)
IEEE Transactions on Signal Processing
New approach to stability of 2-D discrete systems with state saturation
Signal Processing
Information Sciences: an International Journal
Journal of Control Science and Engineering - Special issue on Advances in Methods for Control over Networks
Generalized H2 fault detection for two-dimensional Markovian jump systems
Automatica (Journal of IFAC)
ACM Transactions on Sensor Networks (TOSN)
Stability analysis and control design for 2-D fuzzy systems via basis-dependent Lyapunov functions
Multidimensional Systems and Signal Processing
Mixed H∞ and passive filtering for singular systems with time delays
Signal Processing
Filtering for discrete-time nonhomogeneous Markov jump systems with uncertainties
Information Sciences: an International Journal
Information Sciences: an International Journal
Hi-index | 22.16 |
This paper is concerned with the problem of H"~ filtering for 2D discrete Markovian jump systems. The mathematical model of 2D jump systems is established upon the well-known Roesser model. Our attention is focused on the design of a full-order filter, which guarantees the filtering error system to be mean-square asymptotically stable and has a prescribed H"~ disturbance attenuation performance. Sufficient conditions for the existence of a desired filter are established in terms of linear matrix inequalities (LMIs), and the corresponding filter design is cast into a convex optimization problem which can be efficiently solved by using commercially available numerical software. A numerical example is provided to illustrate the effectiveness of the proposed design method.