TY - JOUR
T1 - Adaptive Output Tracking Control of Piecewise Affine Systems With Prescribed Performance
AU - Liu, Tong
AU - Gao, Yufeng
AU - Buss, Martin
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2022/9/1
Y1 - 2022/9/1
N2 - In this article, we investigate the adaptive output tracking control for multiinput-multioutput piecewise affine systems with prescribed performance. Both direct and indirect adaptation approaches are studied. Given a desired trajectory, both control approaches ensure the output tracking error to be confined within a performance bound, which prescribes the steady-state tracking error as well as the transient behavior, such as decaying rate and overshoot. We establish novel common Lyapunov functions without solving the conventional Lyapunov equations. Based on these common Lyapunov functions, the stability of the closed-loop system under arbitrary switching is established. Furthermore, the parameter convergence for both direct and indirect approaches is proved under the persistently exciting condition of the input signals. The dynamic gain adjustment technique is incorporated to counter the singularity problem in the indirect adaptation case. Finally, the numerical simulation validates the effectiveness and correctness of the proposed approaches in both direct and indirect adaptation cases.
AB - In this article, we investigate the adaptive output tracking control for multiinput-multioutput piecewise affine systems with prescribed performance. Both direct and indirect adaptation approaches are studied. Given a desired trajectory, both control approaches ensure the output tracking error to be confined within a performance bound, which prescribes the steady-state tracking error as well as the transient behavior, such as decaying rate and overshoot. We establish novel common Lyapunov functions without solving the conventional Lyapunov equations. Based on these common Lyapunov functions, the stability of the closed-loop system under arbitrary switching is established. Furthermore, the parameter convergence for both direct and indirect approaches is proved under the persistently exciting condition of the input signals. The dynamic gain adjustment technique is incorporated to counter the singularity problem in the indirect adaptation case. Finally, the numerical simulation validates the effectiveness and correctness of the proposed approaches in both direct and indirect adaptation cases.
KW - Adaptive control
KW - hybrid systems
KW - piecewise affine (PWA) systems
KW - prescribed performance
UR - http://www.scopus.com/inward/record.url?scp=85137133555&partnerID=8YFLogxK
U2 - 10.1109/TSMC.2021.3122982
DO - 10.1109/TSMC.2021.3122982
M3 - Article
AN - SCOPUS:85137133555
SN - 2168-2216
VL - 52
SP - 5398
EP - 5410
JO - IEEE Transactions on Systems, Man, and Cybernetics: Systems
JF - IEEE Transactions on Systems, Man, and Cybernetics: Systems
IS - 9
ER -