PCA and GA Based ARX Plus RBF Modeling for Nonlinear DPS

Jili Tao (), Ridong Zhang () and Yong Zhu ()
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Jili Tao: NingboTech University, School of Information Science and Engineering
Ridong Zhang: Hangzhou Dianzi University, The Belt and Road Information Research Institute
Yong Zhu: NingboTech University, School of Information Science and Engineering

Chapter Chapter 8 in DNA Computing Based Genetic Algorithm, 2020, pp 193-220 from Springer

Abstract: Abstract Distributed parameter systems (DPSs) are difficult to model due to their nonlinearity and infinite-dimension characteristics. This chapter adopts principal component analysis (PCA) to derive a hybrid modeling strategy for modeling such systems. The strategy consists of a decoupled linear autoregressive exogenous (ARX) model and a nonlinear Radial Basis Function (RBF) neural network model.

Date: 2020
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DOI: 10.1007/978-981-15-5403-2_8

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