Data‐driven generalized predictive control for car‐like mobile robots using interval type‐2 T‐S fuzzy neural network

In this paper, for the nonlinear influencing factors such as uncertainty and external disturbance existing in the actual driving process of the car‐like mobile robot (CLMR), a data‐driven generalized predictive control (GPC) method based on interval type‐2 T‐S fuzzy neural network (IT2TSFNN) is prop...

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Veröffentlicht in:	Asian journal of control 2022-05, Vol.24 (3), p.1391-1405
Hauptverfasser:	Shui, Yi, Zhao, Tao, Dian, Songyi, Hu, Yi, Guo, Rui, Li, Shengchuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Control systems design Fuzzy logic Mathematical models Neural networks Predictive control Robots Tracking control
Online-Zugang:	Volltext
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