TY - GEN
T1 - Practical prescribed time tracking control with user pre-determinable precision for uncertain nonlinear systems
AU - Cao, Ye
AU - Song, Yongduan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/14
Y1 - 2020/12/14
N2 - In this paper we present a practical prescribed time (PPT) control for a class of uncertain nonlinear systems to achieve pre-assignable precision within a finite time that can be specified in advance irrespective of initial condition or any design parameter. Specifically, by introducing a novel time-varying constraining function, we convert the original finite-time tracking control problem into one with a deferred constraint on tracking error, then by stabilizing of which, we solve the problem with the following appealing features: 1) both settling time and tracking accuracy can be explicitly specified in advance regardless of initial conditions; 2) the proposed control is based upon regular (rather than fractional power) state feedback, thus is continuous and smooth everywhere; and 3) the results are global in that the prescribed time tracking is ensured for states starting from anywhere within physically possible domain.
AB - In this paper we present a practical prescribed time (PPT) control for a class of uncertain nonlinear systems to achieve pre-assignable precision within a finite time that can be specified in advance irrespective of initial condition or any design parameter. Specifically, by introducing a novel time-varying constraining function, we convert the original finite-time tracking control problem into one with a deferred constraint on tracking error, then by stabilizing of which, we solve the problem with the following appealing features: 1) both settling time and tracking accuracy can be explicitly specified in advance regardless of initial conditions; 2) the proposed control is based upon regular (rather than fractional power) state feedback, thus is continuous and smooth everywhere; and 3) the results are global in that the prescribed time tracking is ensured for states starting from anywhere within physically possible domain.
UR - https://www.scopus.com/pages/publications/85099885171
U2 - 10.1109/CDC42340.2020.9304143
DO - 10.1109/CDC42340.2020.9304143
M3 - 会议稿件
AN - SCOPUS:85099885171
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 3526
EP - 3530
BT - 2020 59th IEEE Conference on Decision and Control, CDC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 59th IEEE Conference on Decision and Control, CDC 2020
Y2 - 14 December 2020 through 18 December 2020
ER -