Name
Abstract | ||
|---|---|---|
In this paper we consider the problem of retrieving information from a set of noisy and distorted measurements. More precisely we consider a scenario where a set of trajectories x1(t),...,xn(t) are observed using a single measuring device so that the output y(ti) of the device at each sampling point is an observation of precisely one of x1(t),...,xn(t). The process can be modeled as a discrete switched system. We develop a recursive Classification, Correction and Identification Algorithm (CCIA), that recovers xj(ti) and the switching parameter δj(ti) together with the ratio zj of measurements from each state xj(ti). |
Year | Venue | Keywords |
|---|---|---|
2009 | Control Conference | continuous time systems,discrete time systems,mobile robots,recursive estimation,set theory,target tracking,time-varying systems,ccia algorithm,discrete switched system,hybrid system,information retrieval problem,noisy-distorted measurements,recursive classification-correction-and-identification algorithm,sampling point,state measurement ratio,switching parameter recovery,control engineering,manganese,decision support systems |
Field | DocType | ISBN |
Discrete mathematics,Control theory,Computer science,Sampling (statistics),Hybrid system,Recursion | Conference | 978-3-9524173-9-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gustavi, T. | 1 | 0 | 0.34 |
| Karasalo, M. | 2 | 1 | 1.36 |
| Xiao Hu | 3 | 72 | 13.64 |
| Clyde F. Martin | 4 | 229 | 39.70 |