Aug 2026· Transactions of the Institute of Measurement and Control· 0 citations· 18 references
TL;DR
This paper addresses the time-varying formation (TVF) control problem for linear multi-agent systems (MASs) with nonlinear dynamics, actuator bias and loss-of-effectiveness faults, and switching communication topologies with neural network approximation and Lyapunov stability theory.
Abstract
This paper addresses the time-varying formation (TVF) control problem for linear multi-agent systems (MASs) with nonlinear dynamics, actuator bias and loss-of-effectiveness faults, and switching communication topologies. First, a novel distributed observer is developed to estimate follower states via neighboring interactions. Then, a controller is designed to achieve the desired TVF tracking. By neural network (NN) approximation and Lyapunov stability theory, adaptive control gains are derived under a formation tracking feasibility condition. Finally, simulation results validate the derived theoretical results.
Addresses the problem of adaptive control for heterogeneous multi-agent systems described by partial
differential equations, taking into account the influence of unknown disturbances. An adaptive sliding mode control algorithm is proposed, which consists of a tunable two-parameter regulator. Based on the Lyapunov funct...
W. Xu· LETI Transactions on Electri...· 0 citations
This study investigates a novel neuroadaptive faulttolerant control (FTC) strategy for vehicle-manipulator systems operating under simultaneous actuator faults and uncertain external disturbances. The proposed framework integrates an optimal iterative control policy with extreme learning machine (ELM)-based neural esti...
Yong-Kang Hou, Hong-Tao He, Jun-Hao Xu et al.· 2026 3rd International Confe...· 0 citations
A cost function construction method and a critic learning law are proposed, which together guarantee the practical fixed-time stability of the system while overcoming the limitations of existing fixed-time reinforcement learning formulations.
This paper investigates the dynamic periodic event-triggered control (DPETC) for nonlinear networked systems with time-varying delays. Compared with traditional event-triggered control strategies, the DPETC proposed in this paper can effectively reduce the number of network transmissions. The considered networked contr...
This paper addresses the problems of high computational burden and excessive communication resource consumption in formation control of a class of nonlinear multi-agent systems subject to switching communication topologies, and proposes a dual-channel dynamic event-triggered iterative learning control algorithm. First,...
Bing Li, Xu-Hui Bu· Transactions of the Institut...· 0 citations
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