TY - JOUR
T1 - Formation Tracking of Multiagent Systems with Time-Varying Actuator Faults and Its Application to Task-Space Cooperative Tracking of Manipulators
AU - Feng, Zhi
AU - Hu, Guoqiang
N1 - Publisher Copyright:
© 2012 IEEE.
PY - 2023/3/1
Y1 - 2023/3/1
N2 - This article is concerned with a fault-tolerant formation tracking problem of nonlinear systems under unknown faults, where the leader's states are only accessible to a small set of followers via a directed graph. Under these faults, not only the amplitudes but also the signs of control coefficients become time-varying and unknown. The current setting will enhance the investigated problem's practical relevance and at the same time, it poses nontrivial design challenges of distributed control algorithms and convergence analysis. To solve this problem, a novel distributed control algorithm is developed by incorporating an estimation-based control framework together with a Nussbaum gain approach to guarantee an asymptotic cooperative formation tracking of nonlinear networked systems under unknown and dynamic actuator faults. Moreover, the proposed control framework is extended to ensure an asymptotic task-space coordination of multiple manipulators under unknown actuator faults, kinematics, and dynamics. Lastly, numerical simulation results are provided to validate the effectiveness of the proposed distributed designs.
AB - This article is concerned with a fault-tolerant formation tracking problem of nonlinear systems under unknown faults, where the leader's states are only accessible to a small set of followers via a directed graph. Under these faults, not only the amplitudes but also the signs of control coefficients become time-varying and unknown. The current setting will enhance the investigated problem's practical relevance and at the same time, it poses nontrivial design challenges of distributed control algorithms and convergence analysis. To solve this problem, a novel distributed control algorithm is developed by incorporating an estimation-based control framework together with a Nussbaum gain approach to guarantee an asymptotic cooperative formation tracking of nonlinear networked systems under unknown and dynamic actuator faults. Moreover, the proposed control framework is extended to ensure an asymptotic task-space coordination of multiple manipulators under unknown actuator faults, kinematics, and dynamics. Lastly, numerical simulation results are provided to validate the effectiveness of the proposed distributed designs.
KW - Distributed formation tracking
KW - heterogeneous dynamics
KW - nonlinear control system
KW - task-space cooperative manipulation
KW - time-varying actuator faults
KW - uncertainties
UR - https://www.scopus.com/pages/publications/85113899068
U2 - 10.1109/TNNLS.2021.3104987
DO - 10.1109/TNNLS.2021.3104987
M3 - 文章
C2 - 34428159
AN - SCOPUS:85113899068
SN - 2162-237X
VL - 34
SP - 1156
EP - 1168
JO - IEEE Transactions on Neural Networks and Learning Systems
JF - IEEE Transactions on Neural Networks and Learning Systems
IS - 3
ER -