4 Papers
10 Citations
Jun Wu is an academic researcher from Changsha University of Science and Technology. The author has contributed to research in topics: Autoregressive model & Model predictive control. The author has an hindex of 3, co-authored 4 publications.
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Papers
RBF-ARX model-based MPC strategies with application to a water tank system
TL;DR: In this article, a hybrid pseudo-linear RBF-ARX model that combines Gaussian radial basis function (RBF) networks and linear ARX model structure is utilized for representing the dynamic behavior of a class of smooth nonlinear and non-stationary systems.
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Nonlinear modeling and control approach to magnetic levitation ball system using functional weight RBF network-based state-dependent ARX model
TL;DR: From the real-time control results, it is seen that the FWRBF-ARX model-based MPC may control the steel ball to track step signals very well, and may obtain much better control performance within wide step range compared to conventional PID control, the ARX model and RBF-ARZ model- based MPCs.
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Quad-rotor modeling and attitude control using state-dependent ARX type model
TL;DR: In this article, a state-dependent autoregressive with exogenous variables (SD-ARX) model whose functional coefficients are approximated by sets of radial basis function (RBF) networks is proposed to describe the dynamic behavior of a quad-rotor.
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Modeling and Control Approach to Coupled Tanks Liquid Level System Based on Function-Type Weight RBF-ARX Model
TL;DR: In this paper, a multi-input multi-output MIMO FWRBF-ARX model, which adopts radial basis function RBF neural networks with function-type weights, is used for describing the dynamics of a coupled tanks liquid system.
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