TY - JOUR
T1 - Fixed-Time Command Filtered Adaptive Backstepping Control for Uncertain Nonlinear Systems With Zero-Error Tracking
AU - Wang, Bin
AU - Hua, Changchun
AU - Li, Hao
PY - 2026/3/3
Y1 - 2026/3/3
N2 - The problem of command-filter-based adaptive fixed-time tracking control is investigated for nonlinear systems with time-varying uncertain parameters and disturbances in this article. Existing fixed-time control strategies via an adaptive approach are primarily bounded-error, trajectory tracking-oriented. Different from previous results, we propose a new fixed-time stability lemma utilizing an exponential decay function. Then, by leveraging the proposed lemma and command filtered backstepping technique, a novel adaptive fixed-time control scheme is constructed, which can reduce the computational complexity and completely counteract uncertain parameters. We demonstrate that the tracking error enters a neighborhood near zero within a fixed-time and ultimately converges to zero. Furthermore, through the incorporation of a piecewise function into both the filter error compensation system and virtual control laws, the second-order derivability of virtual control laws is guaranteed, thereby ensuring the validity of the command filter. Finally, the proposed strategy’s effectiveness is confirmed through simulation results. © 2026 IEEE.
AB - The problem of command-filter-based adaptive fixed-time tracking control is investigated for nonlinear systems with time-varying uncertain parameters and disturbances in this article. Existing fixed-time control strategies via an adaptive approach are primarily bounded-error, trajectory tracking-oriented. Different from previous results, we propose a new fixed-time stability lemma utilizing an exponential decay function. Then, by leveraging the proposed lemma and command filtered backstepping technique, a novel adaptive fixed-time control scheme is constructed, which can reduce the computational complexity and completely counteract uncertain parameters. We demonstrate that the tracking error enters a neighborhood near zero within a fixed-time and ultimately converges to zero. Furthermore, through the incorporation of a piecewise function into both the filter error compensation system and virtual control laws, the second-order derivability of virtual control laws is guaranteed, thereby ensuring the validity of the command filter. Finally, the proposed strategy’s effectiveness is confirmed through simulation results. © 2026 IEEE.
KW - Adaptive control
KW - command filter
KW - fixed-time control
KW - uncertain nonlinear systems
KW - zero-error tracking
UR - http://www.scopus.com/inward/record.url?scp=105031792244&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-105031792244&origin=recordpage
U2 - 10.1109/TCYB.2026.3668276
DO - 10.1109/TCYB.2026.3668276
M3 - RGC 21 - Publication in refereed journal
SN - 2168-2267
JO - IEEE Transactions on Cybernetics
JF - IEEE Transactions on Cybernetics
ER -