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Adaptive neural control for stochastic pure-feedback non-linear time-delay systems with output constraint and asymmetric input saturation 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 页码: 2288-2298
作者:  Si, Wenjie[1];  Dong, Xunde[1];  Yang, Feifei[1]
收藏  |  浏览/下载:28/0  |  提交时间:2019/04/24
control system synthesis  adaptive control  neurocontrollers  Lyapunov methods  delay systems  delays  approximation theory  convergence of numerical methods  hyperbolic equations  control nonlinearities  feedback  stochastic systems  nonlinear control systems  robust control  robust adaptive neural controller  stochastic pure-feedback nonlinear time-delay systems  output constraint  asymmetric input saturation  adaptive tracking control  input saturation nonlinearity  Gaussian error function  continuous differentiable asymmetric saturation model  barrier Lyapunov function  Lyapunov-Krasovskii functional  hyperbolic tangent functions  unknown time-delay terms  neural network  Lyapunov stability theory  learning parameters  closed-loop signals  4-moment semiglobally uniformly ultimately bounded  2-moment semiglobally uniformly ultimately bounded  tracking error  
Consensus Error of The Linear Multi-agent Systems with Noises 会议论文
Chinese Automation Congress (CAC), OCT 20-22, 2017
作者:  Wang, Zhongmei;  Zhang, Huanshui
收藏  |  浏览/下载:1/0  |  提交时间:2019/12/31
Invariant measures and error bounds for random walks in the quarter-plane based on sums of geometric terms 期刊论文
Queueing Systems, 2016, 卷号: Vol.84 No.1-2, 页码: 21-48
作者:  Chen, YT;  Boucherie, RJ;  Goseling, J
收藏  |  浏览/下载:4/0  |  提交时间:2019/12/31
Foreign direct investment and its determinants: A regional panel causality analysis 期刊论文
QUARTERLY REVIEW OF ECONOMICS AND FINANCE, 2014, 卷号: 54, 期号: 4, 页码: 579-589
作者:  Chan, M. W. Luke;  Hou, Keqiang;  Li, Xing;  Mountain, Dean C.
收藏  |  浏览/下载:3/0  |  提交时间:2019/08/22
Projectively flat Finsler metrics with orthogonal invariance 其他
2013-01-01
Huang, Libing; Mo, Xiaohuan
收藏  |  浏览/下载:4/0  |  提交时间:2015/11/16
Fourier analysis of the effect of non-constant terms on the convergence properties of SIMPLE algorithm formulated on a staggered grid 会议论文
作者:  Wang, Fei;  Li, Yitian;  Zheng, Li
收藏  |  浏览/下载:6/0  |  提交时间:2019/12/05
The prediction of surface layer ozone concentration using an improved AR model 会议论文
2011 International Conference on Information Technology, Computer Engineering and Management Sciences, ICM 2011, Nanjing, Jiangsu, China, September 24, 2011 - September 25, 2011
作者:  Zhang, Wen-Yu;  Han, Ting-Ting;  Zhao, Zeng-Bao;  Zhang, Jin;  Wang, Yan-Feng
收藏  |  浏览/下载:2/0  |  提交时间:2017/01/18
All-solid-stated laser controller design based on digital optical feedback (EI CONFERENCE) 会议论文
Lasers in Material Processing and Manufacturing II, November 10, 2004 - November 12, 2004, Beijing, China
Liu L.; Wang J.-L.; Zhou C.-Y.; Ge W.-Q.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
The new design about a CW  digital all-solid-stated LD pumped Nd:YVO 4 controller is introduced. The stable output power of this digital laser controller which adopts Digital Signal Processor(TMS320C31) is approximately 20mW. The whole system is composed of constant- current source  protection circuit  pulse-width modulation circuit  Si-photo-detector and amplified circuit and Digital Signal Processor control system  etc. In terms of error deviation Based on nonlinear control curves of LD power output by Si-photo-detector  the region control can be obtained by means of the PID control algorithm in the software platform  that is  error amendment and high stability laser power output can be achieved. And the precision of temperature control can reduce from 0.2C to 0.04C. By adopted integral separated mode PID control algorithm  the LD output power instability ( %) down to 2%. By way of adopting the new digital design  the work to protect the laser diode  including the continuous adjustable output power with high accuracy and stability  is easily obtained. The internal-external modulation control of the laser power based on digital optical feedback can be accomplished with stable power output. At last  the bringing reasons of noise are analyzed and the solving methods are put forward in this paper.  


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