Design of Soft Computing Based Optimal PI Controller for Greenhouse System

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ISSN Print: 2153-1285
ISSN Online: 2153-1293
www.scirp.org/journal/cs
E-mail: cs@scirp.org

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"Design of Soft Computing Based Optimal PI Controller for Greenhouse System"
written by A. Manonmani, T. Thyagarajan, S. Sutha, V. Gayathri,
published by Circuits and Systems, Vol.7 No.11, 2016

has been cited by the following article(s):

[1]	Review of nature and biologically inspired metaheuristics for greenhouse environment control
	2020

[2]	FUZZY MODEL BASED PREDICTIVE CONTROL OF GREENHOUSE TEMPRATURE AND HUMIDITY
	2019

[3]	Fuzzy Model Based Predictive Control of Greenhouse Temperature and Humidity
	Addis Ababa Science and Technology University …, 2019

[4]	A greenhouse system control based on a PSO tuned PI regulator
	2017

[5]	Evolutionary and bio-inspired algorithms in greenhouse control: introduction, review and trends
	2017

[1]	Proceeding of the 3rd International Conference on Electronics, Biomedical Engineering, and Health Informatics Lecture Notes in Electrical Engineering, 2023 DOI:10.1007/978-981-99-0248-4_17

[2]	Review of nature and biologically inspired metaheuristics for greenhouse environment control Transactions of the Institute of Measurement and Control, 2020 DOI:10.1177/0142331220909010

[3]	A greenhouse system control based on a PSO tuned PI regulator 2017 International Conference on Green Energy Conversion Systems (GECS), 2017 DOI:10.1109/GECS.2017.8066235

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