A novel optimization algorithm based on epsilon constraint-RBF neural network for tuning PID controller in decoupled HVAC system-Reference-Cited by-同舟云学术

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A novel optimization algorithm based on epsilon constraint-RBF neural network for tuning PID controller in decoupled HVAC system

Published:2016-04 Issue: Volume:99 Page:613-624
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Attaran Seyed Mohammad,Yusof Rubiyah^ORCID,Selamat Hazlina

Funder

Research University Grant

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference42 articles.

1. Linear Control Theory: Structure, Robustness, and Optimization;Bhattacharyya,2009

2. Applying Computational Intelligence: How to Create Value;Kordon,2009

3. Computational modeling and simulation of intellect: current state and future perspectives: current state and future perspectives;Igelnik,2011

4. RBF based PID control and simulation;Chen;Comput. Simul,2011

5. Design and tuning of robust PID controller for HVAC systems;Kasahara;ASHRAE Trans.,1999

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