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Recursive Bayesian Algorithm for Identification of Systems with Non-uniformly Sampled Input Data 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 335-344
作者:  Shao-Xue Jing;  Tian-Hong Pan;  Zheng-Ming Li
浏览  |  Adobe PDF(1082Kb)  |  收藏  |  浏览/下载：136/46  |  提交时间：2021/02/23
Parameter estimation  discrete time systems  Gaussian noise  Bayesian algorithm  covariance resetting.  
Development of STEP AP224 Extractor for Interfacing Feature Based CAPP to STEP-NC (AP238) 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 655-670
作者:  Deepanshu Srivastava;  Venkateswara Rao Komma
浏览  |  Adobe PDF(3913Kb)  |  收藏  |  浏览/下载：114/38  |  提交时间：2021/02/22
Reduced-order observer  discrete-time systems  Lipschitz systems  H∞  ARDUINO MEGA 2560 device.  
New LMI Conditions for Reduced-order Observer of Lipschitz Discrete-time Systems: Numerical and Experimental Results 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 644-654
作者:  Noussaiba Gasmi;  Assem Thabet;  Mohamed Aoun
浏览  |  Adobe PDF(1366Kb)  |  收藏  |  浏览/下载：91/26  |  提交时间：2021/02/22
Reduced-order observer  discrete-time systems  Lipschitz systems  H∞  ARDUINO MEGA 2560 device.  
Stabilization for a Class of Discrete-time Switched Large-scale Systems with Parameter Uncertainties 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 543-552
作者:  Chang-Chun Sun
浏览  |  Adobe PDF(1611Kb)  |  收藏  |  浏览/下载：100/44  |  提交时间：2021/02/22
Switched large-scale systems  discrete-time  state feedback  decentralized control  switching law.  
Robust Neural Control of Discrete Time Uncertain Nonlinear Systems Using Sliding Mode Backpropagation Training Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 213-225
作者:  Imen Zaidi;  Mohamed Chtourou;  Mohamed Djemel
浏览  |  Adobe PDF(10306Kb)  |  收藏  |  浏览/下载：136/34  |  提交时间：2021/02/22
Discrete time uncertain nonlinear systems  neural modelling  sliding mode  backpropagation (BP) algorithm  robust neural control.  
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
Adobe PDF(1501Kb)  |  收藏  |  浏览/下载：437/285  |  提交时间：2021/02/22
Discrete-time switched systems  Tikhonov regularization  varying sampling rates  discrete-time control systems  networked control systems.