中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
BAS-ADAM: An ADAM Based Approach to Improve the Performance of Beetle Antennae Search Optimizer 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 461-471
作者:  Ameer Hamza Khan;  Xinwei Cao;  Shuai Li;  Vasilios N. Katsikis;  Liefa Liao
浏览  |  Adobe PDF(4203Kb)  |  收藏  |  浏览/下载：179/37  |  提交时间：2021/03/11
Adaptive moment estimation (ADAM)  Beetle antennae search (BAM)  gradient estimation  metaheuristic optimization  nature-inspired algorithms  neural network  
Which is the Best PID Variant for Pneumatic Soft Robots? An Experimental Study 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 451-460
作者:  Ameer Hamza Khan;  Zili Shao;  Shuai Li;  Qixin Wang;  Nan Guan
浏览  |  Adobe PDF(51640Kb)  |  收藏  |  浏览/下载：96/17  |  提交时间：2021/03/11
Automatic tuning algorithm  model-free control  PID  soft robotics  
Smooth-optimal Adaptive Trajectory Tracking Using an Uncalibrated Fish-eye Camera 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 267-278
作者:  Zhao-Bing Kang;  Wei Zou;  Zheng Zhu;  Hong-Xuan Ma
浏览  |  Adobe PDF(2266Kb)  |  收藏  |  浏览/下载：241/59  |  提交时间：2021/02/22
Smooth motion  adaptive control  trajectory tracking  wheeled mobile robots  visual servoing.  
Electronic Nose and Its Applications: A Survey 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 179-209
作者:  Diclehan Karakaya;  Oguzhan Ulucan;  Mehmet Turkan
浏览  |  Adobe PDF(1365Kb)  |  收藏  |  浏览/下载：210/43  |  提交时间：2021/02/22
Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.  
Hybrid Dynamic Neural Network and PID Control of Pneumatic Artificial Muscle Using the PSO Algorithm 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 428-438
作者:  Mahdi Chavoshian;  Mostafa Taghizadeh;  Mahmood Mazare
浏览  |  Adobe PDF(2564Kb)  |  收藏  |  浏览/下载：140/58  |  提交时间：2021/02/22
Dynamic neural network (DNN) control  hybrid control  pneumatic muscle  particle swarm optimization  sliding mode control.