2015
DOI: 10.1016/j.enbuild.2015.01.016
|View full text |Cite
|
Sign up to set email alerts
|

A comparison between the minimum-order & full-order observers in robust control of the air handling units in the presence of uncertainty

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
15
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 23 publications
(15 citation statements)
references
References 27 publications
0
15
0
Order By: Relevance
“…All these effects can be described using the heat balance of the zone. In particular, after ignoring the influence of humidity on temperature (in line with [5] and [6]), the following differential equations describe the evolution of temperature in the system:…”
Section: Problem Formulation and Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…All these effects can be described using the heat balance of the zone. In particular, after ignoring the influence of humidity on temperature (in line with [5] and [6]), the following differential equations describe the evolution of temperature in the system:…”
Section: Problem Formulation and Preliminariesmentioning
confidence: 99%
“…such as fuzzy logic and/or genetic algorithm have been proposed for AHUs [5], [6]. Genetic-based optimal control was adopted in [7] and [8] to maintain the temperature set point.…”
mentioning
confidence: 99%
“…According to the National Association of Corrosion Engineers (NACE), the global corrosion cost, through direct and indirect losses, was $US 552 billion in 2001, which increased to $US 1.3 trillion in 2009 [7]. Direct and indirect damage to the environment is massive if corrosionrelated problems are overlooked in sensitive oil/gas industries and nuclear power plants.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Many control strategies have been implemented to improve the dynamic behavior of air conditioners. Model based analysis and simulation of airflow control of AHUs using PI and adaptive self-tuning PI controllers [6], model predictive control [7], optimal control [8,9], feedback linearization control and robust observer of VAV-AHU [10], energy optimization of HVAC system [11], a hybrid MPC optimization [12], improving the robust performance of air-conditioning systems [13], regulation of building temperature via MPC [14], handling of the model uncertainties in buildings via MPC [15], flatness control of a fractional thermal system [16], adaptive and robust control for nonlinear HVAC system [17] and robust path tracking using flatness for fractional linear MIMO thermal system [18] have been presented.…”
Section: Introductionmentioning
confidence: 99%