TY - JOUR
T1 - Adaptive fuzzy dynamic surface control for uncertain discrete-time non-linear pure-feedback MIMO systems with network-induced time-delay based on state observer
AU - Wu, Ranran
AU - Fan, Ding
AU - Iu, Herbert Ho Ching
AU - Fernando, Tyrone
PY - 2019/7/3
Y1 - 2019/7/3
N2 - In this paper, a state observer-based adaptive fuzzy dynamic surface control is developed for uncertain discrete-time non-linear pure-feedback multiple-input-multiple-output (MIMO) systems with network-induced time-delay. The uncertainties are approximated by a set of adaptive fuzzy logic systems, with the adjusted parameters updated by a simplified recursive least squares estimation algorithm, combined with a state observer. For a constant known network-induced time-delay, the proposed modified dynamic surface control utilising the predicted system states, expands the acceptable network-induced time-delay and stable operating range for a discrete-time non-linear pure-feedback MIMO system in the network. The simulation results indicate that the presented method is effective.
AB - In this paper, a state observer-based adaptive fuzzy dynamic surface control is developed for uncertain discrete-time non-linear pure-feedback multiple-input-multiple-output (MIMO) systems with network-induced time-delay. The uncertainties are approximated by a set of adaptive fuzzy logic systems, with the adjusted parameters updated by a simplified recursive least squares estimation algorithm, combined with a state observer. For a constant known network-induced time-delay, the proposed modified dynamic surface control utilising the predicted system states, expands the acceptable network-induced time-delay and stable operating range for a discrete-time non-linear pure-feedback MIMO system in the network. The simulation results indicate that the presented method is effective.
KW - Adaptive fuzzy dynamic surface control
KW - network-induced time-delay
KW - recursive least squares estimation
KW - state observer
KW - uncertain discrete non-linear MIMO system
UR - http://www.scopus.com/inward/record.url?scp=85038016671&partnerID=8YFLogxK
U2 - 10.1080/00207179.2017.1407877
DO - 10.1080/00207179.2017.1407877
M3 - Article
AN - SCOPUS:85038016671
SN - 0020-7179
VL - 92
SP - 1707
EP - 1719
JO - International Journal of Control
JF - International Journal of Control
IS - 7
ER -