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Neurodynamics-Based Receding Horizon Control of an HVAC System

  • Jiasen WangEmail author
  • Jun Wang
  • Shenshen Gu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11555)

Abstract

This paper addresses receding horizon control of a heating, ventilation, and air-conditioning (HVAC) system based on neurodynamic optimization. The receding horizon control problem for the HVAC system is formulated as sequential quadratic programs, which are solved by using a neurodynamic optimization model. Simulation results on temperature setpoint regulation of the HVAC system are discussed to substantiate the efficacy of the approach.

Keywords

HVAC Receding horizon control Neurodynamic optimization 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceCity University of Hong KongKowloonHong Kong
  2. 2.School of Data ScienceCity University of Hong KongKowloonHong Kong
  3. 3.Shenzhen Research InstituteCity University of Hong KongShenzhenChina
  4. 4.School of Mechatronic Engineering and AutomationShanghai UniversityShanghaiChina

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