Data-Driven Formation Control for Unknown MIMO Nonlinear Discrete-Time Multi-Agent Systems With Sensor Fault

A data-driven distributed formation control algorithm is proposed for an unknown heterogeneous non-affine nonlinear discrete-time MIMO multi-agent system (MAS) with sensor fault. For the considered unknown MAS, the dynamic linearization technique in model-free adaptive control (MFAC) theory is used...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 33; H. 12; S. 7728 - 7742
Hauptverfasser:	Xiong, Shuangshuang, Hou, Zhongsheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Actuators Adaptation models Adaptive control Algorithms Control algorithms Control theory Data models Discrete time systems Error analysis Field-flow fractionation Formation control Linearization Mathematical model MIMO (control systems) MIMO communication model free adaptive control (MFAC) multi-agent system (MAS) Multiagent systems Neural networks Radial basis function radial basis function neural network (RBFNN) sensor fault Sensors Stability analysis
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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