title: A novel high level canonical piecewise linear model based on the simplicial partition and its application.
abstract: The piecewise linear (PWL) model has attracted more and more attention in recent research because it can handle complex nonlinearity while maintaining linearity in local regions. A large number of compact representations for PWL modeling have been introduced, such as hinging hyperplanes and its generalized version. However, the existing methods usually give rise to many and complex subregions, which is an issue known as "curse of partitions", and hampered practical applications of PWL models. In this paper, a novel high level canonical PWL model is presented to tackle the curse of partitions. In more detail, an improved simplicial partition strategy with alterable intervals is proposed to improve the model representation capability. The proposed PWL model guarantees an unchangeable topology during training and thus a limited number of subregions after training. Several numerical experiments, and a simulated chemical process, are used to demonstrate the effectiveness of the proposed model.
authors.affiliation: Department of Automation, Tsinghua University, Beijing 100084, China. Electronic address: gao-xy07@mails.tsinghua.edu.cn.
authors.forename: Xiaoyong
authors.initials: X
authors.lastname: Gao
authors.affiliation: Department of Automation, Tsinghua University, Beijing 100084, China. Electronic address: jiangyh@tsinghua.edu.cn.
authors.forename: Yongheng
authors.initials: Y
authors.lastname: Jiang
authors.affiliation: Department of Automation, Tsinghua University, Beijing 100084, China; Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China. Electronic address: huangdx@tsinghua.edu.cn.
authors.forename: Dexian
authors.initials: D
authors.lastname: Huang
authors.affiliation: Department of Automation, Tsinghua University, Beijing 100084, China. Electronic address: zhxiong@tsinghua.edu.cn.
authors.forename: Zhihua
authors.initials: Z
authors.lastname: Xiong
keywords: Piecewise linear; Process model; Simplicial partition