The weakly forced vibration of an axially moving viscoelastic beam is inves- tigated. The viscoelastic material of the beam is constituted by the standard linear solid model with the material time derivative involved....The weakly forced vibration of an axially moving viscoelastic beam is inves- tigated. The viscoelastic material of the beam is constituted by the standard linear solid model with the material time derivative involved. The nonlinear equations governing the transverse vibration are derived from the dynamical, constitutive, and geometrical relations. The method of multiple scales is used to determine the steady-state response. The modulation equation is derived from the solvability condition of eliminating secular terms. Closed-form expressions of the amplitude and existence condition of nontrivial steady-state response are derived from the modulation equation. The stability of non- trivial steady-state response is examined via the Routh-Hurwitz criterion.展开更多
A neural-network-based robust control design is suggested for control of a class of nonlinear systems. The design ap- proach employs a neural network, whose activation functions satisfy the sector conditions, to appro...A neural-network-based robust control design is suggested for control of a class of nonlinear systems. The design ap- proach employs a neural network, whose activation functions satisfy the sector conditions, to approximate the nonlinear system. To improve the approximation performance and to account for the parameter perturbations during operation, a novel neural network model termed standard neural network model (SNNM) is proposed. If the uncertainty is bounded, the SNNM is called an interval SNNM (ISNNM). A state-feedback control law is designed for the nonlinear system modelled by an ISNNM such that the closed-loop system is globally, robustly, and asymptotically stable. The control design equations are shown to be a set of linear matrix inequalities (LMIs) that can be easily solved by available convex optimization algorithms. An example is given to illustrate the control design procedure, and the performance of the proposed approach is compared with that of a related method reported in literature.展开更多
To facilitate stability analysis of discrete-time bidirectional associative memory (BAM) neural networks, they were converted into novel neural network models, termed standard neural network models (SNNMs), which inte...To facilitate stability analysis of discrete-time bidirectional associative memory (BAM) neural networks, they were converted into novel neural network models, termed standard neural network models (SNNMs), which interconnect linear dynamic systems and bounded static nonlinear operators. By combining a number of different Lyapunov functionals with S-procedure, some useful criteria of global asymptotic stability and global exponential stability of the equilibrium points of SNNMs were derived. These stability conditions were formulated as linear matrix inequalities (LMIs). So global stability of the discrete-time BAM neural networks could be analyzed by using the stability results of the SNNMs. Compared to the existing stability analysis methods, the proposed approach is easy to implement, less conservative, and is applicable to other recurrent neural networks.展开更多
A new neural network model termed ‘standard neural network model’ (SNNM) is presented, and a state-feedback control law is then designed for the SNNM to stabilize the closed-loop system. The control design constrain...A new neural network model termed ‘standard neural network model’ (SNNM) is presented, and a state-feedback control law is then designed for the SNNM to stabilize the closed-loop system. The control design constraints are shown to be a set of linear matrix inequalities (LMIs), which can be easily solved by the MATLAB LMI Control Toolbox to determine the control law. Most recurrent neural networks (including the chaotic neural network) and nonlinear systems modeled by neural networks or Takagi and Sugeno (T-S) fuzzy models can be transformed into the SNNMs to be stabilization controllers synthesized in the framework of a unified SNNM. Finally, three numerical examples are provided to illustrate the design developed in this paper.展开更多
Pacific saury is an important high-seas fishery resource in the Northwest Pacific Ocean for the Chinese Mainland.Reliable and accurate catch per unit effort(CPUE)plays a significant rule in Pacific saury stock assessm...Pacific saury is an important high-seas fishery resource in the Northwest Pacific Ocean for the Chinese Mainland.Reliable and accurate catch per unit effort(CPUE)plays a significant rule in Pacific saury stock assessment.Many statistical models have been used in the previous CPUE standardization research.Here,we compare the performance of Generalized Linear Models(GLMs)and Generalized Additive Models(GAMs)using CPUE data collected from Chinese saury fishery in the Northwest Pacific Ocean from 2003 to 2017(excluding data from Chinese Taipei),and evaluate the influence of spatial,temporal,environmental variables and vessel length on CPUE.Optimal GLM/GAM models were selected using the Bayesian information criterion(BIC).Explained deviance and 5-fold bootstrap cross-validation results were used to compare the performance of the two model types.Fitted GLMs accounted for 21.57%of the total model-explained deviance,while GAMs accounted for 38.95%.Predictive performance metrics and 5-fold cross-validation results showed that the best GAM performed better than the best GLM.Therefore,we recommend GAM as the preferred model for standardizing CPUE of Pacific saury in the Northwest Pacific Ocean.展开更多
Most soft materials behave as if they were hardened when subjected to an impact force. The strain rate dependence of viscosity resistance is the reason for this behavior. The authors carried out drop impact tests on s...Most soft materials behave as if they were hardened when subjected to an impact force. The strain rate dependence of viscosity resistance is the reason for this behavior. The authors carried out drop impact tests on several types of soft materials under the condition of a flat frontal impact. The impact force waveform of soft materials was found to consist of a thorn-shaped waveform and a succeeding mountain-shaped waveform. Based on our experimental observations, we believe that a large viscosity resistance is rapidly changed to a small resistance in the course of the impact. In the present study, the cause of this distinct waveform is discussed based on a dynamics model. The study applies a standard linear solid (SLS) model in which the viscosity transient phenomenon is considered is applied. Three types of impact force waveforms of actual soft materials are simulated using the SLS model. Some features of the impact force waveform of soft materials can be explained using the SLS model.展开更多
CPUE的观测往往不是独立的,而是存在空间相关性的。但是,大多数的CPUE标准化方法通常都假设名义CPUE在空间上是相互独立的。为此,本研究以西南大西洋阿根廷滑柔鱼为例,采用2000-2014年1-5月中国大陆鱿钓生产统计数据以及对应的海表温度...CPUE的观测往往不是独立的,而是存在空间相关性的。但是,大多数的CPUE标准化方法通常都假设名义CPUE在空间上是相互独立的。为此,本研究以西南大西洋阿根廷滑柔鱼为例,采用2000-2014年1-5月中国大陆鱿钓生产统计数据以及对应的海表温度和叶绿素浓度数据,选择广义线性模型(general linear model,GLM)为基础模型,将空间自相关加入到GLM中,比较标准GLM和4种加入空间自相关的空间GLM的CPUE标准化。根据最小信息准则(Akaike Information Criterion,AIC)及贝叶斯信息准则(Bayesian Information Criterion,BIC),空间自相关的GLM的CPUE标准化结果优于标准GLM,其中指数模型的CPUE标准化结果最佳。同时,标准GLM与空间自相关的GLM相比,存在精确度过高估计的问题。因此,在CPUE标准化中,应充分考虑空间自相关这一因素。展开更多
基金Project supported by the National Natural Science Foundation of China (No.10972143)the Shanghai Municipal Education Commission (No.YYY11040)+2 种基金the Shanghai Leading Academic Discipline Project (No.J51501)the Leading Academic Discipline Project of Shanghai Institute of Technology(No.1020Q121001)the Start Foundation for Introducing Talents of Shanghai Institute of Technology (No.YJ2011-26)
文摘The weakly forced vibration of an axially moving viscoelastic beam is inves- tigated. The viscoelastic material of the beam is constituted by the standard linear solid model with the material time derivative involved. The nonlinear equations governing the transverse vibration are derived from the dynamical, constitutive, and geometrical relations. The method of multiple scales is used to determine the steady-state response. The modulation equation is derived from the solvability condition of eliminating secular terms. Closed-form expressions of the amplitude and existence condition of nontrivial steady-state response are derived from the modulation equation. The stability of non- trivial steady-state response is examined via the Routh-Hurwitz criterion.
基金Project supported by the National Natural Science Foundation of China (No. 60504024), and Zhejiang Provincial Education Depart-ment (No. 20050905), China
文摘A neural-network-based robust control design is suggested for control of a class of nonlinear systems. The design ap- proach employs a neural network, whose activation functions satisfy the sector conditions, to approximate the nonlinear system. To improve the approximation performance and to account for the parameter perturbations during operation, a novel neural network model termed standard neural network model (SNNM) is proposed. If the uncertainty is bounded, the SNNM is called an interval SNNM (ISNNM). A state-feedback control law is designed for the nonlinear system modelled by an ISNNM such that the closed-loop system is globally, robustly, and asymptotically stable. The control design equations are shown to be a set of linear matrix inequalities (LMIs) that can be easily solved by available convex optimization algorithms. An example is given to illustrate the control design procedure, and the performance of the proposed approach is compared with that of a related method reported in literature.
基金Project (No. 60074008) supported by the National Natural Science Foundation of China
文摘To facilitate stability analysis of discrete-time bidirectional associative memory (BAM) neural networks, they were converted into novel neural network models, termed standard neural network models (SNNMs), which interconnect linear dynamic systems and bounded static nonlinear operators. By combining a number of different Lyapunov functionals with S-procedure, some useful criteria of global asymptotic stability and global exponential stability of the equilibrium points of SNNMs were derived. These stability conditions were formulated as linear matrix inequalities (LMIs). So global stability of the discrete-time BAM neural networks could be analyzed by using the stability results of the SNNMs. Compared to the existing stability analysis methods, the proposed approach is easy to implement, less conservative, and is applicable to other recurrent neural networks.
基金the National Natural Science Foundation of China (No. 60504024)the Specialized Research Fund for the Doc-toral Program of Higher Education, China (No. 20060335022)+1 种基金the Natural Science Foundation of Zhejiang Province, China (No. Y106010)the "151 Talent Project" of Zhejiang Province (Nos. 05-3-1013 and 06-2-034), China
文摘A new neural network model termed ‘standard neural network model’ (SNNM) is presented, and a state-feedback control law is then designed for the SNNM to stabilize the closed-loop system. The control design constraints are shown to be a set of linear matrix inequalities (LMIs), which can be easily solved by the MATLAB LMI Control Toolbox to determine the control law. Most recurrent neural networks (including the chaotic neural network) and nonlinear systems modeled by neural networks or Takagi and Sugeno (T-S) fuzzy models can be transformed into the SNNMs to be stabilization controllers synthesized in the framework of a unified SNNM. Finally, three numerical examples are provided to illustrate the design developed in this paper.
基金The National Sci-Tech Support Plan “Fishing Technology and New Resources in Oceanic Fisheries” under contract No.2013BAD13B05
文摘Pacific saury is an important high-seas fishery resource in the Northwest Pacific Ocean for the Chinese Mainland.Reliable and accurate catch per unit effort(CPUE)plays a significant rule in Pacific saury stock assessment.Many statistical models have been used in the previous CPUE standardization research.Here,we compare the performance of Generalized Linear Models(GLMs)and Generalized Additive Models(GAMs)using CPUE data collected from Chinese saury fishery in the Northwest Pacific Ocean from 2003 to 2017(excluding data from Chinese Taipei),and evaluate the influence of spatial,temporal,environmental variables and vessel length on CPUE.Optimal GLM/GAM models were selected using the Bayesian information criterion(BIC).Explained deviance and 5-fold bootstrap cross-validation results were used to compare the performance of the two model types.Fitted GLMs accounted for 21.57%of the total model-explained deviance,while GAMs accounted for 38.95%.Predictive performance metrics and 5-fold cross-validation results showed that the best GAM performed better than the best GLM.Therefore,we recommend GAM as the preferred model for standardizing CPUE of Pacific saury in the Northwest Pacific Ocean.
文摘Most soft materials behave as if they were hardened when subjected to an impact force. The strain rate dependence of viscosity resistance is the reason for this behavior. The authors carried out drop impact tests on several types of soft materials under the condition of a flat frontal impact. The impact force waveform of soft materials was found to consist of a thorn-shaped waveform and a succeeding mountain-shaped waveform. Based on our experimental observations, we believe that a large viscosity resistance is rapidly changed to a small resistance in the course of the impact. In the present study, the cause of this distinct waveform is discussed based on a dynamics model. The study applies a standard linear solid (SLS) model in which the viscosity transient phenomenon is considered is applied. Three types of impact force waveforms of actual soft materials are simulated using the SLS model. Some features of the impact force waveform of soft materials can be explained using the SLS model.
文摘CPUE的观测往往不是独立的,而是存在空间相关性的。但是,大多数的CPUE标准化方法通常都假设名义CPUE在空间上是相互独立的。为此,本研究以西南大西洋阿根廷滑柔鱼为例,采用2000-2014年1-5月中国大陆鱿钓生产统计数据以及对应的海表温度和叶绿素浓度数据,选择广义线性模型(general linear model,GLM)为基础模型,将空间自相关加入到GLM中,比较标准GLM和4种加入空间自相关的空间GLM的CPUE标准化。根据最小信息准则(Akaike Information Criterion,AIC)及贝叶斯信息准则(Bayesian Information Criterion,BIC),空间自相关的GLM的CPUE标准化结果优于标准GLM,其中指数模型的CPUE标准化结果最佳。同时,标准GLM与空间自相关的GLM相比,存在精确度过高估计的问题。因此,在CPUE标准化中,应充分考虑空间自相关这一因素。
