Finite-Time Consensus Tracking Neural Network FTC of Multi-Agent Systems

• Published in: IEEE transaction on neural networks and learning systems Vol. 32; no. 2; pp. 653 - 662
• Main Authors: Dong, Guowei, Li, Hongyi, Ma, Hui, Lu, Renquan
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.02.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Actuators; Adaptive neural network (NN) fault-tolerant control (FTC); Artificial neural networks; Circuit faults; Control stability; Fault tolerance; Fault tolerant systems; Feedback control; finite time; multi-agent systems (MASs); Multiagent systems; Neural networks; Nonlinear systems; output dead zones; Tracking control; Tracking errors; Tracking problem

The finite-time consensus fault-tolerant control (FTC) tracking problem is studied for the nonlinear multi-agent systems (MASs) in the nonstrict feedback form. The MASs are subject to unknown symmetric output dead zones, actuator bias and gain faults, and unknown control coefficients. According to t...