WebOct 13, 2015 · Radial basis function (RBF) network combines with AutoRegressive eXogenous (ARX) model to create RBF–ARX model. RBF–ARX model can describe the … WebJan 1, 2006 · RBF-ARX modeling for prediction and control. March 2006 · IFAC Proceedings Volumes (IFAC Papers-OnLine) Valerie Haggan-Ozaki. This paper presents a systematic …
RBF-ARX Modeling and Predictive Control Strategy Applied to a …
WebThe radial basis function (RBF) network and autoregressive exogenous (ARX) model are combined to form the structure of the RBF‐ARX model. The RBF‐ARX model can describe … WebMao, 2002 Mao K., RBF neural network center selection based on Fisher ratio class separability measure, IEEE Transactions on Neural Networks 13 (5) (2002) 1211 – 1217. Google Scholar Ni and Shi, 2024 Ni J. , Shi P. , Adaptive neural network fixed-time leader–follower consensus for multiagent systems with constraints and disturbances , … handmade soap river county soapworks
基于AIC-RBF的油气管柱挤压形变估计方法-【维普期刊官网】- 中文 …
WebDec 26, 2006 · The RBF-ARX model is a pseudo-linear ARX model identified offline, and its functional coefficients are composed of the operating-point-dependent RBF neural networks. The RBF-ARX model-based predictive control (MPC) design to the nonlinear process is presented, and stability analysis of the nonlinear MPC under some conditions is discussed. WebOct 1, 2015 · The idea of the RBF-ARX-MPC-PL algorithm consists in taking advantage of on-line linearization and free trajectory prediction. It is to use a local linearization … WebDec 1, 2012 · Fig. 4 shows predicted and simulated dryer inlet temperature (T g,in = y k) with ARX and RBF–ARX na = 1, nb = 2, nk = 1, [1 2 1] models versus time. To check the stability … business administration and management期刊