TY - GEN
T1 - T-S fuzzy controller for a class of uncertain nonlinear systems
AU - Han, Hugang
AU - Mo, Bo
AU - Yao, Fenghui
PY - 2008
Y1 - 2008
N2 - In general, the state feedback control gain can be obtained by solving certain linear matrix inequalities (LMIs) when using the Takagi-Sugeno (T-S) fuzzy model to develop a control system. In this paper, the reconstruction error between the real system to be controlled and its T-S fuzzy model, which consists of parameter uncertainties and external disturbance, is considered. As a result, we arrive at a new T-S fuzzy controller that has two parts: one is obtained by solving certain LMIs (fixed part) and another one is acquired by an adaptive law (variable part). The proposed controller can guarantee the control state to converge and uniformly bounded while maintaining all the signals involved stable.
AB - In general, the state feedback control gain can be obtained by solving certain linear matrix inequalities (LMIs) when using the Takagi-Sugeno (T-S) fuzzy model to develop a control system. In this paper, the reconstruction error between the real system to be controlled and its T-S fuzzy model, which consists of parameter uncertainties and external disturbance, is considered. As a result, we arrive at a new T-S fuzzy controller that has two parts: one is obtained by solving certain LMIs (fixed part) and another one is acquired by an adaptive law (variable part). The proposed controller can guarantee the control state to converge and uniformly bounded while maintaining all the signals involved stable.
UR - https://www.scopus.com/pages/publications/54249144591
U2 - 10.1109/MWSCAS.2008.4616737
DO - 10.1109/MWSCAS.2008.4616737
M3 - Conference contribution
AN - SCOPUS:54249144591
SN - 9781424421671
T3 - Midwest Symposium on Circuits and Systems
SP - 65
EP - 68
BT - 2008 IEEE International 51st Midwest Symposium on Circuits and Systems, MWSCAS
T2 - 2008 IEEE International 51st Midwest Symposium on Circuits and Systems, MWSCAS
Y2 - 10 August 2008 through 13 August 2008
ER -