An adaptive PID neural network for complex nonlinear system control

被引：0
|
作者：
Kang, Jun [1 ,2 ]
Meng, Wenjun [1 ]
Abraham, Ajith [3 ,4 ,5 ]
Liu, Hongbo [3 ,5 ]
机构：
[1] School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
[2] Software School, North University of China, Taiyuan 030051, China
[3] Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn 98071, WA, United States
[4] IT4Innovations - Center of excellence, VSB - Technical University of Ostrava, Ostrava 70833, Czech Republic
[5] School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China
来源：
Neurocomputing | 2014年 / 135卷
基金：
中国国家自然科学基金; 上海市自然科学基金;
关键词：
Lyapunov methods - Nonlinear systems - Adaptive control systems - Complex networks - Uncertainty analysis - Particle swarm optimization (PSO);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：79 / 85
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