A multi-model with control increments for a nonlinear passive air-conditioning unit modeling

作者：

Highlights：

• The analytical model of a nonlinear passive air-conditioning unit was defined.

• Pseudo-Random Multi-level Signals used to capture the dynamics and nonlinearities.

• Control increments included in relative humidity output for accurate prediction.

• Results with two-level algorithm showed good prediction performance.

摘要

•The analytical model of a nonlinear passive air-conditioning unit was defined.•Pseudo-Random Multi-level Signals used to capture the dynamics and nonlinearities.•Control increments included in relative humidity output for accurate prediction.•Results with two-level algorithm showed good prediction performance.

论文关键词：Nonlinear system,Identification,Takagi–Sugeno structure,Air-conditioning unit,Relative humidity,Temperature

论文评审过程：Received 17 April 2015, Revised 16 June 2015, Accepted 7 January 2016, Available online 14 January 2016, Version of Record 2 February 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.009