TY - GEN
T1 - A Generalization to Set-Theoretic MRAC with Arbitrary Initial Values
AU - Yang, Yuhang
AU - Zhu, Huajie
AU - Shi, Zhongjiao
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In traditional set-theoretic model reference adaptive control (MRAC) architecture, it is crucial for the initial value to remain within the safe set, as this ensures that the system trajectory follows the command at all times. However, maintaining the initial state within this safe set presents a significant challenge. To address this issue, this paper proposes a new architecture. A key feature of the proposed architecture is the application of a compression function that generates a nominal error signal, guiding the real error signal back into the safe set. The effectiveness of this method is mathematically proven, and two examples are provided to demonstrate its efficacy.
AB - In traditional set-theoretic model reference adaptive control (MRAC) architecture, it is crucial for the initial value to remain within the safe set, as this ensures that the system trajectory follows the command at all times. However, maintaining the initial state within this safe set presents a significant challenge. To address this issue, this paper proposes a new architecture. A key feature of the proposed architecture is the application of a compression function that generates a nominal error signal, guiding the real error signal back into the safe set. The effectiveness of this method is mathematically proven, and two examples are provided to demonstrate its efficacy.
KW - compression function
KW - generalized barrier Lyapunov function
KW - set-theoretic adaptive control
KW - uncertain dynamical system
UR - https://www.scopus.com/pages/publications/105001674135
U2 - 10.1109/CSIS-IAC63491.2024.10919308
DO - 10.1109/CSIS-IAC63491.2024.10919308
M3 - Conference contribution
AN - SCOPUS:105001674135
T3 - 2024 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2024
SP - 885
EP - 890
BT - 2024 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2024
Y2 - 20 September 2024 through 22 September 2024
ER -