TY - JOUR
T1 - Fault-tolerant tracking control with guaranteed performance for nonlinearly parameterized systems under uncertain initial conditions
AU - ZHOU, Shuyan
AU - SONG, Yongduan
AU - LUO, Xiaosuo
N1 - Publisher Copyright:
© 2020
PY - 2020/7
Y1 - 2020/7
N2 - In this work, by integrating a virtual parameter separation technique and the error-shifting transformation, we develop a smooth fault-tolerant control (FTC) strategy for nonlinearly parameterized systems subject to actuation failures and unknown initial conditions. The essential step in control design lies in the introduction of a novel rate function and the utilization of which to build the error-shifting transformation, enabling the developed design method with the ability to steer the tracking error into a prescribed performance boundary within the pregiven settling time under arbitrary bounded (yet possibly uncertain/unknown) initial tracking conditions. Different from existing related methods, the key features of our adaptive tracking control are its independence of the initial condition and its minimum number of tuning parameters, namely, no matter how many unknown parameters are involved, only a single parameter estimation appears in each step of the backstepping design.
AB - In this work, by integrating a virtual parameter separation technique and the error-shifting transformation, we develop a smooth fault-tolerant control (FTC) strategy for nonlinearly parameterized systems subject to actuation failures and unknown initial conditions. The essential step in control design lies in the introduction of a novel rate function and the utilization of which to build the error-shifting transformation, enabling the developed design method with the ability to steer the tracking error into a prescribed performance boundary within the pregiven settling time under arbitrary bounded (yet possibly uncertain/unknown) initial tracking conditions. Different from existing related methods, the key features of our adaptive tracking control are its independence of the initial condition and its minimum number of tuning parameters, namely, no matter how many unknown parameters are involved, only a single parameter estimation appears in each step of the backstepping design.
UR - https://www.scopus.com/pages/publications/85086030651
U2 - 10.1016/j.jfranklin.2020.04.057
DO - 10.1016/j.jfranklin.2020.04.057
M3 - Journal Article (refereed)
AN - SCOPUS:85086030651
SN - 0016-0032
VL - 357
SP - 6805
EP - 6823
JO - Journal of the Franklin Institute
JF - Journal of the Franklin Institute
IS - 11
ER -