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

DS Naidu, CG Rieger - Hvac&R Research, 2011 - Taylor & Francis
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 …

Virtual hardware-in-the-loop FMU co-simulation based digital twins for heating, ventilation, and air-conditioning (HVAC) systems

S Abrazeh, SR Mohseni, MJ Zeitouni… - … on Emerging Topics …, 2022 - ieeexplore.ieee.org
In this paper, a novel self-adaptive control method based on a digital twin is developed and
investigated for a multi-input multi-output (MIMO) nonlinear system, which is a heating …

Forecasting of short-term traffic-flow based on improved neurofuzzy models via emotional temporal difference learning algorithm

J Abdi, B Moshiri, B Abdulhai, AK Sedigh - Engineering Applications of …, 2012 - Elsevier
Bounded rationally idea, rather that optimization idea, have result and better performance in
decision making theory. Bounded rationality is the idea in decision making, rationality of …

Speed and flux control of induction motors using emotional intelligent controller

GR Markadeh, E Daryabeigi, C Lucas… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper presents a real-time implementation of an improved emotional controller for
induction motor (IM) drives. The proposed controller is called brain-emotional-learning …

Identification and real-time position control of a servo-hydraulic rotary actuator by means of a neurobiologically motivated algorithm

A Sadeghieh, H Sazgar, K Goodarzi, C Lucas - ISA transactions, 2012 - Elsevier
This paper presents a new intelligent approach for adaptive control of a nonlinear dynamic
system. A modified version of the brain emotional learning based intelligent controller …

Neo-fuzzy integrated adaptive decayed brain emotional learning network for online time series prediction

HSA Milad, U Farooq, ME El-Hawary, MU Asad - IEEE Access, 2016 - ieeexplore.ieee.org
Adaptive decayed brain emotional learning (ADBEL) network is recently proposed for the
online time series forecasting problems. As opposed to other popular learning networks …

Robust model-free control of a class of uncertain nonlinear systems using BELBIC: stability analysis and experimental validation

S Khorashadizadeh, SMH Zadeh… - Journal of the Brazilian …, 2019 - Springer
The applicability of a brain emotional learning-based intelligent controller (BELBIC) is based
on the emotion processing mechanism in brain, sensory inputs and emotional cues. The …

[HTML][HTML] Approaches based on LAMDA control applied to regulate HVAC systems for buildings

L Morales, D Pozo-Espín, J Aguilar… - Journal of Process …, 2022 - Elsevier
The control of HVAC (Heating Ventilation and Air Conditioning) systems is usually complex
because its modeling in certain cases is difficult, since these systems have a large number …

Designing an emotional intelligent controller for IPFC to improve the transient stability based on energy function

E Jafari, A Marjanian, S Solaymani… - Journal of Electrical …, 2013 - koreascience.kr
The controllability and stability of power systems can be increased by Flexible AC
Transmission Devices (FACTs). One of the FACTs devices is Interline Power-Flow Controller …

Chaotic time series prediction using brain emotional learning–based recurrent fuzzy system (BELRFS)

M Parsapoor, U Bilstrup - International Journal of …, 2013 - inderscienceonline.com
In this paper, an architecture based on the anatomical structure of the emotional network in
the brain of mammalians is applied as a prediction model for chaotic time series studies. The …