TY - GEN
T1 - Mixed-time T-S fuzzy optimal estimator for target tracking
AU - Noh, Sun Young
AU - Park, Jin Bae
AU - Joo, Young Hoon
PY - 2011
Y1 - 2011
N2 - This paper is concerned with the mixed-time fuzzy optimal estimator for the target tracking. The proposed method takes account of behaviour for target motion in continuous time and system measurement in discrete time. The overall dynamic of system in continuous-time is discretised by using Takagi-Sugeno(T-S) fuzzy models. Based on the fuzzy model the fuzzy estimation is studied. Then the error state of the filtering process is means square bounded. A basis dependent Lyapunov function approach is developed to design the fuzzy filter and a filter gain is minimized by using some linear matrix inequalities(LMIs) constraints. A numerical example is provided to demonstrate various aspects of theoretical results.
AB - This paper is concerned with the mixed-time fuzzy optimal estimator for the target tracking. The proposed method takes account of behaviour for target motion in continuous time and system measurement in discrete time. The overall dynamic of system in continuous-time is discretised by using Takagi-Sugeno(T-S) fuzzy models. Based on the fuzzy model the fuzzy estimation is studied. Then the error state of the filtering process is means square bounded. A basis dependent Lyapunov function approach is developed to design the fuzzy filter and a filter gain is minimized by using some linear matrix inequalities(LMIs) constraints. A numerical example is provided to demonstrate various aspects of theoretical results.
UR - http://www.scopus.com/inward/record.url?scp=80053083295&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053083295&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2011.6007671
DO - 10.1109/FUZZY.2011.6007671
M3 - Conference contribution
AN - SCOPUS:80053083295
SN - 9781424473175
T3 - IEEE International Conference on Fuzzy Systems
SP - 1994
EP - 1998
BT - FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
T2 - 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
Y2 - 27 June 2011 through 30 June 2011
ER -