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	1. Robust Model Predictive Control of a Three-Phase PV Inverter with uncertain load parameters
	PU Yunfei,WU Jing,LI Shaoyuan
	Electrics, Communication and Autocontrol Technology 21 June 2016
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:In this paper, a robust model predictive control strategy is presented for a three-phase inverter for photovoltaic systems. Different from large-scale power systems where the load change are ignored, the effect of load change in local PV systems are considered, which will affect the load current seriously and cannot be neglected. The simulation result shows the inverter output current can track the reference input current well with a lower total harmonic distortion, which illustrates the effectiveness of the proposed method.
	TO cite this article:PU Yunfei,WU Jing,LI Shaoyuan. Robust Model Predictive Control of a Three-Phase PV Inverter with uncertain load parameters[OL].[21 June 2016] http://en.paper.edu.cn/en_releasepaper/content/4698779


	2. Output-Feedback Regulation ofNonlinear Systems with iISS Inverse dynamics
	ZHAO Cong-Ran,XIE Xue-Jun
	Electrics, Communication and Autocontrol Technology 14 December 2012
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	Abstract:Thispaper further discusses the problem of output-feedback regulationfor more general nonlinear systems with integral input-to-statestability (iISS) inverse dynamics and unknown control direction. Byusing the adaptive backstepping method, an output feedbackcontroller is given to drive the output to the origin whilemaintaining other closed-loop signals bounded. A simulation exampleverifies the effectiveness of the control scheme.
	TO cite this article:ZHAO Cong-Ran,XIE Xue-Jun. Output-Feedback Regulation ofNonlinear Systems with iISS Inverse dynamics[OL].[14 December 2012] http://en.paper.edu.cn/en_releasepaper/content/4502272


	3. EIT based on virtual instrument
	WANG Wenlong,MA Fuchang,ZHANG Jianguo,MA Jun
	Electrics, Communication and Autocontrol Technology 03 November 2011
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	Abstract:Design of a electrical impedance tomography system based on virtual instrument, the author firstly introduced the virtual instrument into the electrical impedance imaging from the perspective of hardware and software. The system use DAQ of NI to simplify the hardware structure and improve the stability. Software of system combines the advantages of LABVIEW and MATLAB, and verify some algorithms. Using NI virtual instrument, the system has strong expansion and do good basis for enhancing the performance of electrical impedance imaging system
	TO cite this article:WANG Wenlong,MA Fuchang,ZHANG Jianguo, et al. EIT based on virtual instrument[OL].[ 3 November 2011] http://en.paper.edu.cn/en_releasepaper/content/4448463


	4. Disturbance Observer Enhanced Model Predictive Control With Experimental Studies
	Chen Xisong,Yang Jun,Guo Cong,Wang Hongchao
	Electrics, Communication and Autocontrol Technology 11 January 2011
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	Abstract:A disturbance observer enhanced model predictive control approach is addressed in this paper for the typical industrial process control systems. The proposed method is applied to a practical level tank system subject to severe disturbances. Both simulation and experimental results show that the proposed method significantly improves the disturbance attenuation property of the model predictive control scheme.
	TO cite this article:Chen Xisong,Yang Jun,Guo Cong, et al. Disturbance Observer Enhanced Model Predictive Control With Experimental Studies[OL].[11 January 2011] http://en.paper.edu.cn/en_releasepaper/content/4405785

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