Bounded Dynamic Stochastic Systems: Modelling and Control
Bounded Dynamic Stochastic Systems: Modelling and Control
Brief paper: Multi-rate stochastic H∞ filtering for networked multi-sensor fusion
Automatica (Journal of IFAC)
H∞-filter design for a class of networked control systems via T-S fuzzy-model approach
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Signal Processing
An error-entropy minimization algorithm for supervised training ofnonlinear adaptive systems
IEEE Transactions on Signal Processing
PID controller design for output PDFs of stochastic systems using linear matrix inequalities
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Automatica (Journal of IFAC)
Generalized information potential criterion for adaptive system training
IEEE Transactions on Neural Networks
A novel information exchange method for industrial heterogeneous fieldbuses
International Journal of Computer Applications in Technology
Hi-index | 0.00 |
This paper is concerned with minimum error entropy filter design for non-linear Networked Control Systems (NCSs) with multiple-packet transmission mechanism. Since the error of the filter in NCSs is generally non-Gaussian, the filter is designed under the information theoretic learning frame. The convergent condition of the proposed filter is established. A simulation example shows that the proposed approach is feasible and effective.