Name
Title | ||
|---|---|---|
Robust filtering design for stochastic system with mode-dependent output quantization |
Abstract | ||
|---|---|---|
This work is to investigate the problem of filter design for uncertain stochastic systems with mode-dependent quantized output measurements. The issues involved in this correspondence are output logarithmic quantization, Markovian jump parameters, Itô stochastic noise, and state noise. By employing an effective mathematical transformation, the quantization error of the output in the system equation is converted into a bounded nonlinearity. Based on the proposed model, a mode-dependent H∞ filter is designed, and sufficient conditions are established such that the filtering error system is robustly stochastically stable. A simulation example is presented to illustrate the effectiveness of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TSP.2010.2070496 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
filter design,stochastic noise,state noise,quantization error,output logarithmic quantization,mode-dependent output quantization,stochastic system,mode-dependent h,error system,mode-dependent quantized output measurement,trajectory,robustness,quantization,mathematical model,filtering | Signal processing,Mathematical optimization,Nonlinear system,Control theory,Filter (signal processing),Robustness (computer science),Quantization (physics),Estimation theory,Quantization (signal processing),Mathematics,Filter design | Journal |
Volume | Issue | ISSN |
58 | 12 | 1053-587X |
Citations | PageRank | References |
39 | 1.65 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ming Liu | 1 | 963 | 40.79 |
| Daniel W.C. Ho | 2 | 5311 | 285.38 |
| Yugang Niu | 3 | 1388 | 96.56 |