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Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 826-837
作者:  Jia-Xi Chen;  Jun-Min Li
Adobe PDF(2352Kb)  |  收藏  |  浏览/下载:185/41  |  提交时间:2021/09/13
Fuzzy logic systems  stochastic nonlinear  multi-agent systems (MAS)  consensus algorithm  adaptive control  
Dynamic Event-triggered Control and Estimation: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 857-886
作者:  Xiaohua Ge;  Qing-Long Han;  Xian-Ming Zhang;  Derui Ding
Adobe PDF(3887Kb)  |  收藏  |  浏览/下载:192/37  |  提交时间:2021/11/26
Networked systems  dynamic event-triggered control  dynamic event-triggered estimation  dynamic event-triggered mechanisms  vehicle active suspension system  water distribution and supply system  
Dynamic System Identification of Underwater Vehicles Using Multi-output Gaussian Processes 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 681-693
作者:  Wilmer Ariza Ramirez;  Juš Kocijan;  Zhi Quan Leong;  Hung Duc Nguyen;  Shantha Gamini Jayasinghe
Adobe PDF(3231Kb)  |  收藏  |  浏览/下载:138/40  |  提交时间:2021/09/13
Dependent Gaussian processes  dynamic system identification  multi-output Gaussian processes  non-parametric identification  autonomous underwater vehicle (AUV)  
A Survey on Fault Diagnosis and Fault Tolerant Methodologies for Permanent Magnet Synchronous Machines 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 763-787
作者:  Erphan A. Bhuiyan;  Md. Maeenul Azad Akhand;  Sajal K. Das;  Md. F. Ali;  Z. Tasneem;  Md. R. Islam;  D. K. Saha;  Faisal R. Badal;  Md. H. Ahamed;  S. I. Moyeen
浏览  |  Adobe PDF(2346Kb)  |  收藏  |  浏览/下载:189/76  |  提交时间:2021/02/22
Permanent magnet synchronous machine (PMSM)  fault diagnosis  fault tolerant control system (FTCS)  fault detection  stability.  
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:115/49  |  提交时间:2021/02/22
Dynamic neural network (DNN) control  hybrid control  pneumatic muscle  particle swarm optimization  sliding mode control.  
PID Neural Network Decoupling Control Based on Hybrid Particle Swarm Optimization and Differential Evolution 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 867-873
作者:  Hong-Tao Ye;  Zhen-Qiang Li
浏览  |  Adobe PDF(705Kb)  |  收藏  |  浏览/下载:118/35  |  提交时间:2021/02/22
Particle swarm optimization  differential evolution  proportion integration differentiation (PID) neural network  hybrid approach  decoupling control.  
Output Feedback Stabilization for MIMO Semi-linear Stochastic Systems with Transient Optimisation 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 83-95
作者:  Qi-Chun Zhang;  Liang Hu;  John Gow
浏览  |  Adobe PDF(1322Kb)  |  收藏  |  浏览/下载:110/38  |  提交时间:2021/02/22
Multi-input-multi-output (MIMO) stochastic systems  output feedback stabilisation  block backstepping  randomness attenuation  probabilistic decoupling  mutual information.  
A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 321-352
作者:  Madhusmita Panda;  Bikramaditya Das;  Bidyadhar Subudhi;  Bibhuti Bhusan Pati
浏览  |  Adobe PDF(2673Kb)  |  收藏  |  浏览/下载:187/46  |  提交时间:2021/02/22
Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).  
Performance Improvement of Discrete-time Linear Control Systems Subject to Varying Sampling Rates Using the Tikhonov Regularization Method 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 453-463
作者:  Fernando Agustín Pazos;  Anibal Zanini;  Amit Bhaya
浏览  |  Adobe PDF(1501Kb)  |  收藏  |  浏览/下载:424/279  |  提交时间:2021/02/22
Discrete-time switched systems  Tikhonov regularization  varying sampling rates  discrete-time control systems  networked control systems.  
Optimal Design of Fuzzy-AGC Based on PSO & RCGA to Improve Dynamic Stability of Interconnected Multi-area Power Systems 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 599-609
作者:  Ali Darvish Falehi
浏览  |  Adobe PDF(3763Kb)  |  收藏  |  浏览/下载:123/39  |  提交时间:2021/02/22
Power system dynamic stability  fuzzy logic automatic generation control (FLAGC)  particle swarm optimization (PSO)  real coded genetic algorithm (RCGA)  simultaneous coordination scheme.