Particle Swarm Optimization Based Fuzzy-Neural Like PID Controller for TCP/AQM Router

Intelligent Control and Automation

ISSN Print: 2153-0653
ISSN Online: 2153-0661
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"Particle Swarm Optimization Based Fuzzy-Neural Like PID Controller for TCP/AQM Router"
written by Mohammed Z. Al-Faiz, Shahad A. Sadeq,
published by Intelligent Control and Automation, Vol.3 No.1, 2012

has been cited by the following article(s):

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[4]	Design and control of parallel robot using MATLAB simulink with fopid in use SSO algoritm
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[5]	Fuzzy Like Pid Controller Based on Sso Design for Congestion Avoidance in Internet Router
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[6]	Interval type-2 and type-1 Fuzzy Logic Controllers for congestion avoidance in internet routers
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[7]	PID Control Parameter Model for Agricultural Electrical Automation Based on Fuzzy Neural Network
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[8]	Optimization and control of DC motor using fuzzy logic
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[9]	Đề xuất giải pháp điều khiển thông minh cho nút mạng: Báo cáo tổng kết đề tài NCKH dành cho Cán bộ-Giảng viên 2019 [Số hợp đồng: 2019.01. 76/HĐ-KHCN]
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[10]	Hybrid Fuzzy Congestion Controllers for Computer Networks Tuned by Modified Particle Swarm Optimization
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[12]	Swarm intelligence based robust active queue management design for congestion control in TCP network
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[13]	NGHIÊN CỨU CẢI TIẾN CƠ CHẾ ĐIỀU KHIỂN TẠI CÁC NÚT MẠNG
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[15]	Design of nonlinear PID controllers based on hyper-stability criteria
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[16]	Identification of Position DC Motor and Control Using Fuzzy Type–2 Based PSO
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[1]	Hybrid Soft Computing System for Student Performance Evaluation Studia Universitatis Babeș-Bolyai Engineering, 2023 DOI:10.24193/subbeng.2023.1.1

[2]	Interval type-2 and type-1 Fuzzy Logic Controllers for congestion avoidance in internet routers IOP Conference Series: Materials Science and Engineering, 2020 DOI:10.1088/1757-899X/881/1/012135

[3]	Swarm intelligence based robust active queue management design for congestion control in TCP network IEEJ Transactions on Electrical and Electronic Engineering, 2016 DOI:10.1002/tee.22220

[4]	Swarm intelligence based robust active queue management design for congestion control in TCP network IEEJ Transactions on Electrical and Electronic Engineering, 2016 DOI:10.1002/tee.22220

[5]	Design of nonlinear PID controllers based on hyper-stability criteria 2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2014 DOI:10.1109/STA.2014.7086743

[6]	Input-Rate Based Adaptive Fuzzy Neuron PID Control for AQM Advanced Materials Research, 2013 DOI:10.4028/www.scientific.net/AMR.846-847.3

[7]	An Improved PID Control for Wheeled Line-Tracking Robot Applied Mechanics and Materials, 2013 DOI:10.4028/www.scientific.net/AMM.401-403.1661

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