TO Zhou Fei, a former diplomat who has traveled the world, Africa is the most beautiful place he has ever visited. Zhou was especially captivated by the thrill of seeing wildlife living the way nature intended. ＂They...TO Zhou Fei, a former diplomat who has traveled the world, Africa is the most beautiful place he has ever visited. Zhou was especially captivated by the thrill of seeing wildlife living the way nature intended. ＂They belong not only to Africa but also to the world,＂ he said at a wildlife protection workshop held in Johannesburg. South Africa in April.展开更多
CHINA has strengthened its efforts in cracking down on corruption after the 18th National Congress of the Communist Party of China （CPC） in late 2012, where a ＂zero tolerance＂ policy toward violators was adopted. ...CHINA has strengthened its efforts in cracking down on corruption after the 18th National Congress of the Communist Party of China （CPC） in late 2012, where a ＂zero tolerance＂ policy toward violators was adopted. In December 2013 alone, eight provincial- and ministerial-level officials were investigated for alleged discipline violations, according to Cao Jianming, Procurator General of China＇s Supreme People＇s Procuratorate.展开更多
How to establish a self‐equilibrium configuration is vital for further kinematics and dynamics analyses of tensegrity mechanism.In this study,for investigating tensegrity form‐finding problems,a concise and efficien...How to establish a self‐equilibrium configuration is vital for further kinematics and dynamics analyses of tensegrity mechanism.In this study,for investigating tensegrity form‐finding problems,a concise and efficient dynamic relaxation‐noise tolerant zeroing neural network(DR‐NTZNN)form‐finding algorithm is established through analysing the physical properties of tensegrity structures.In addition,the non‐linear constrained opti-misation problem which transformed from the form‐finding problem is solved by a sequential quadratic programming algorithm.Moreover,the noise may produce in the form‐finding process that includes the round‐off errors which are brought by the approximate matrix and restart point calculating course,disturbance caused by external force and manufacturing error when constructing a tensegrity structure.Hence,for the purpose of suppressing the noise,a noise tolerant zeroing neural network is presented to solve the search direction,which can endow the anti‐noise capability to the form‐finding model and enhance the calculation capability.Besides,the dynamic relaxation method is contributed to seek the nodal coordinates rapidly when the search direction is acquired.The numerical results show the form‐finding model has a huge capability for high‐dimensional free form cable‐strut mechanisms with complicated topology.Eventually,comparing with other existing form‐finding methods,the contrast simulations reveal the excellent anti‐noise performance and calculation capacity of DR‐NTZNN form‐finding algorithm.展开更多
文摘TO Zhou Fei, a former diplomat who has traveled the world, Africa is the most beautiful place he has ever visited. Zhou was especially captivated by the thrill of seeing wildlife living the way nature intended. ＂They belong not only to Africa but also to the world,＂ he said at a wildlife protection workshop held in Johannesburg. South Africa in April.
文摘CHINA has strengthened its efforts in cracking down on corruption after the 18th National Congress of the Communist Party of China （CPC） in late 2012, where a ＂zero tolerance＂ policy toward violators was adopted. In December 2013 alone, eight provincial- and ministerial-level officials were investigated for alleged discipline violations, according to Cao Jianming, Procurator General of China＇s Supreme People＇s Procuratorate.
基金supported in part by the National Natural Science Foundation of China under grants 61873304,62173048,62106023in part by the China Postdoctoral Science Foundation Funded Project under grants 2018M641784 and 2019T120240+1 种基金also in part by the Key Science and Technology Projects of Jilin Province,China,under grant 20210201106GXalso in part by the Changchun Science and Technology Project under grant 21ZY41.
文摘How to establish a self‐equilibrium configuration is vital for further kinematics and dynamics analyses of tensegrity mechanism.In this study,for investigating tensegrity form‐finding problems,a concise and efficient dynamic relaxation‐noise tolerant zeroing neural network(DR‐NTZNN)form‐finding algorithm is established through analysing the physical properties of tensegrity structures.In addition,the non‐linear constrained opti-misation problem which transformed from the form‐finding problem is solved by a sequential quadratic programming algorithm.Moreover,the noise may produce in the form‐finding process that includes the round‐off errors which are brought by the approximate matrix and restart point calculating course,disturbance caused by external force and manufacturing error when constructing a tensegrity structure.Hence,for the purpose of suppressing the noise,a noise tolerant zeroing neural network is presented to solve the search direction,which can endow the anti‐noise capability to the form‐finding model and enhance the calculation capability.Besides,the dynamic relaxation method is contributed to seek the nodal coordinates rapidly when the search direction is acquired.The numerical results show the form‐finding model has a huge capability for high‐dimensional free form cable‐strut mechanisms with complicated topology.Eventually,comparing with other existing form‐finding methods,the contrast simulations reveal the excellent anti‐noise performance and calculation capacity of DR‐NTZNN form‐finding algorithm.
