Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control

This article presents a multi-lagged-input based data-driven adaptive iterative learning control (M-DDAILC) method for nonlinear multiple-input-multiple-output (MIMO) systems by virtue of multi-lagged-input iterative dynamic linearization (IDL). The original nonlinear and non-affine MIMO system is equivalently transformed into a linear input-output incremental counterpart without loss of dynamics. The proposed learning law utilizes the desired trajectory to cancel the influence from iteration-by-iteration variations, as well as additional multi-lagged inputs to improve control performance. The developed iterative estimation law is more effective and also makes estimation of the unknown parameters easier because the dynamics for each parameter to represent are decreased by dividing the system into multiple components in the multi-lagged-input IDL formulation. Moreover, the proposed M-DDAILC does not need an explicit and accurate model. It is proved to be iteratively convergent with rigorous analysis. Both a numerical example and a practical application to a permanent magnet linear motor are provided to verify the validity and applicability of the proposed method.     

国外农业技术创新体系建设的经验及对我国的启示

本文从组织构成和运行机制的角度,分析了国外农业技术创新体系的突出特点以及建设经验,对当前我国农业技术创新体系的建设提出了建议。     

When do incumbents learn from entrepreneurial ventures?: Corporate venture capital and investing firm innovation rates

In this paper, we focus on the potential innovative benefits to corporate venture capital (CVC), i.e. equity investments in entrepreneurial ventures by incumbent firms. We propose that corporate venture capital programs may be instrumental in harvesting innovations from entrepreneurial ventures and thus an important part of a firm's overall innovation strategy. We hypothesize that these programs are especially effective in weak intellectual property (IP) regimes and when the firm has sufficient absorptive capacity. We analyze a large panel of public firms over a 20-year period and find that increases in corporate venture capital investments are associated with subsequent increases in firm patenting.     

The role of corporate technology strategy and patent portfolios in low-, medium- and high-technology firms

Previous research into technology strategies and patent portfolios has focused on high-technology firms, whereas low- and medium-technology companies have been relatively neglected. Therefore, we analyze how corporate technology strategy and the size and composition of patent portfolios affect the performance of low-, medium- and high-technology firms. Data from 136 European companies are used to examine four hypotheses relating financial performance to technological diversification, technological aggressiveness, patent portfolio size, and patent portfolio quality. The cross-industry sample allows analyzing the different consequences of these strategic parameters in low-, medium- and high-technology firms by considering technological intensity as a moderator. Our first finding is that the positive impact of technological aggressiveness is limited in low- and medium-technology companies. Secondly, technological diversification has a positive effect in high-technology firms and a negative effect in low-technology firms. Thirdly, patent portfolio size has a positive effect only in high-technology firms. Finally, patent portfolio quality has an equally positive influence on all firms’ performance. In part, these results conflict with the findings of previous research into high-technology companies, and they call for rethinking the role of technology strategies and intellectual property portfolios in firms across industries.     

How beneficial are relational capital and technology orientation for innovation? Evidence from Mexican SMEs

Globally, small and medium-sized enterprises (SMEs) are engines of economic growth and job creation. After the pandemic, innovation activities have become more critical than ever as a generator of competitiveness. Therefore, we need to better understand the factors that lead to innovation in SMEs. This study aims to analyze the role of relational capital and technology orientation in innovation to appreciate its final impact on firm performance. The main results reveal a strong positive effect of relational capital on innovation, but the effect is not so strong as firm performance. We also found a strong positive effect of relational capital on technology orientation. Finally, we offer some clues in the debate on technology as a source of innovation and how relational capital and technology orientation are related to a firm’s performance. The results reveal significant implications for innovation policies and relational capital strategies for SMEs.     

海洋国家实验室科技成果转化融资问题研究

从海洋国家实验室科技成果及转化的特殊性、融资渠道、科技金融环境等方面,分析海洋国家实验室科技成果转化所面临的融资困境,探讨传统融资方式与新型融资方式的特点,进而分析海洋国家实验室科技成果转化各阶段所适用的融资方式。为有力促进海洋国家实验室科技成果转化,应完善资本市场,发展新型融资方式,加大政府扶持力度,改善科技金融环境。     

互联网科技发展新趋势及对金融发展的影响分析和对策研究

近年来由于互联网创新的推动,互联网在中国经济中扮演越来越重要的角色,随着携号转网和5G牌照发放等新举措推出,中国移动互联网将会迎来跨越式发展,也会对金融发展产生更深远的影响。在这个背景下,本文对互联网技术发展趋势进行了研判,分析了互联网技术对金融发展的影响,为了分析互联网后发地区如何缩小与发达城市的差距,本文调研了常州市互联网科技与金融耦合发展情况,分析了该地区的金融发展存在的问题,并根据调研情况给出了促进科技金融发展的具有可操作性的对策建议。     

中国科技进步贡献率测度

文章借鉴OECD《生产率测算手册》介绍的非参数方法,采用指数形式来表达科技进步变化,并使用2007至2017年期间有关数据测度了31个省市科技进步贡献指数,以此为基础汇总形成全国科技进步贡献指数。结果表明,2007年到2017年期间,中国科技进步率提高了8.2个百分点,达到了54.2%。这种科技进步贡献率测算方法,在一定程度上简化了指标测算工作,为政府部门常年发布科技进步贡献率指标数据提供了便利,也为进一步规范该指标测算工作提供了新的方法选择。     

科技奖励对社会创新的影响机理——基于广东的探索性案例分析

对科技奖励作用于社会创新的机理加以研究,认为承认是科技奖励的本质特征,科技奖励以"动机+资源+环境"的模式推动社会创新进程和成果转化:通过承认机制激发科研人员的需求;通过激励机制强化科研人员的创新动机;通过导向机制引导优势资源向重点发展技术领域、产业方向聚集;通过竞争机制筛选优秀科研成果和人才,营造良好的社会创新环境。而在这种模式下取得的经济效益又用于加大科技奖励投入,循环往复地推动社会创新不断发展。以广东省科学技术奖为例研究科技奖励对社会创新的作用机制,认为其主要通过控制奖励数量、提高奖金额度、调整奖项结构、提升奖励质量等方式发挥科技奖励的承认、激励导向和竞争作用。在此基础上分析广东省科技奖励体系存在的问题,提出发挥民间力量设奖、规范奖后派生待遇、提高个人奖项权重、加大对青年科学家支持力度等对策建议。     

河北省本科高校科技创新能力评价 —基于2012—2016年高等学校科技统计数据的分析

对高校科技创新能力的研究现状进行述评,基于2012—2016年我国《高等学校科技统计资料汇编》的统计数据,运用因子分析法,首先对河北省本科高校科技创新能力进行了总体评价,然后对河北省34所公办本科院校在科技人力投入、获取科技经费和承担课题、科技产出、成果鉴定授奖等科技创新能力评价指标进行比较分析,总结河北省高校科技创新能力的现状,提炼科技资源配置存在的问题,提出了提升河北省高校科技创新能力的“2 6”模式。