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Advanced control strategies for HVAC&R systems—An overview: Part II: Soft and fusion control

Journal Article · · HVAC&R Research

A chronological overview of the advanced control strategies for HVAC&R is presented. The overview focuses on hard-computing or control techniques, such as proportional-integral-derivative, optimal, nonlinear, adaptive, and robust; soft-computing or control techniques, such as neural networks, fuzzy logic, genetic algorithms; and the fusion or hybrid of hard and soft control techniques. Part I focused on hardcontrol strategies; Part II focuses on soft and fusion control and some future directions in HVA&R research. This overview is not intended to be an exhaustive survey on this topic, and any omissions of other works is purely unintentional.

Research Organization:
Idaho National Laboratory (INL)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC07-05ID14517
OSTI ID:
1016210
Report Number(s):
INL/JOU-11-22420
Journal Information:
HVAC&R Research, Journal Name: HVAC&R Research Journal Issue: 2 Vol. 17; ISSN 1078-9669
Country of Publication:
United States
Language:
English

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