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9篇 您的检索式:作者名="Lida JING"
    题名 作者 年代 出处 被引量
1Tracking control and parameter identification with quantized ARMAX systems显示文摘Dear editor,After decades of development,system modeling and control theory have developed thoroughly.Various identification,estimation and control methods have been given(1)However,most of these results are based on accurate measurements of the system inputs and outputs.But now,quantized partial-state feedback stabilization of a class of nonlinear cascaded systems and gave a recursive design method for quantized stabilization.Ref.[3]used quantized data to design feedback stabilization control.Ref.[4]studied the parameter identification of set value systems.Ref.[5]considered the adaptive control of first-order systems.Ref.[6]solved the adaptive tracking control of linear systems with binary-valued observations and periodic target.Lida JING Jifeng ZHANG 2019Science China(Information Sciences)2019,62,9:4
2Review on the corrosion-promotion activity of graphene and its inhibition显示文摘Graphene films(GFs) and graphene-reinforced nanocomposite coatings(GNCs) have received unprecedented attention for corrosion protection because graphene possesses a remarkable chemical inertness and is completely impermeable to aggressive chemicals. However, the high electric conductivity and positive potential of graphene make graphene-based metal protectors tend to exhibit an undesirable high corrosion-promotion activity(CPA), which is widely known as the phenomenon that graphene connecting with metal accelerates the corrosion of metal substrate by inducing micro-galvanic corrosion at the defect sites of GFs or GNCs in aggressive environments. Therefore, inhibiting the CPA of graphene is currently a key focus for the application of graphene in the field of corrosion protection. In this review, the mechanisms, influencing factors, and inhibition strategies of the CPA of GFs and GNCs are highlighted from the point of view of corrosion science to address the bottlenecks and challenges for future research and potential applications of graphene for corrosion protection.Wen Sun Yanjia Yang Zhengqing Yang Lida Wang Jing Wang Dake Xu Guichang Liu 2021Journal of Materials Science & Technology2021,,32:2
3A real-time PCRmethod for the detection of Salmonella enterica from food usinga target sequence identified by comparative genomic analysis显示文摘CHEN Jing ZHANG Lida PAOLI G C 2010International Journal of Food Microbiology2010,137,23:1
4A real-time PCR method for the detection of Salmonella enterica from food using a target sequence identified by comparative genomic analysis显示文摘Jing Chen Lida Zhang George C. Paoli Chunlei Shi Shu-I Tu Xianming Shi 2009International Journal of Food Microbiology2009,,2:1
5A real-time PCR method for the detection of Salmonella enterica from food using a target sequence identified by comparative genomic analysis显示文摘CHEN Jing ZHANG Lida PAOLI G C 2010International Journal of Food Microbiology2010,137,9:1
6A real-time PCR method for the detection of Salmonella enterica from food u- sing a target sequence identified by comparative genomic a- nalysis 显示文摘Chen Jing Zhang Lida Paoli GC 2010International Journal of Food Microbiology2010,137,:1
7A real-time PCR method for the detection of Salmonella enterica from food using a target sequence identified by comparative genomic analysis显示文摘CHEN Jing ZHANG Lida PAOLI G C 2010Int J Food Microbiol2010,137,23:1
8Corrosion behavior of electrolcss deposited Ni-Cu-P coating in flue gas condensate显示文摘Liu Guichang Yang Lijun Wang Lida Wang Suilin Liu Chongyang Wang Jing 0,,:1
9LS-Based Parameter Estimation of DARMA Systems with Uniformly Quantized Observations显示文摘This paper is concerned with the parameter estimation of deterministic autoregressive moving average(DARMA)systems with quantization data.The estimation algorithms adopted here are the least squares(LS)and the forgetting factor LS,and the signal quantizer is of uniform,that is,with uniform quantization error.The authors analyse the properties of the LS and the forgetting factor LS,and establish the boundedness of the estimation errors and a relationship of the estimation errors with the size of quantization error,which implies that the smaller the quantization error is,the smaller the estimation error is.A numerical example is given to demonstrate theorems.JING Lida ZHANG Ji-Feng 2022Journal of Systems Science & Complexity2022,35,3:0
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