研究了约束理论(theory of constraints,TOC)和系统化创新思维方法(systematic inventive thinking,SIT)的基本原理,据此构造了基于约束理论的系统化创新思维方法模型,并针对该模型提出了基于上述的理论与方法集成模式的创新设计方法。...研究了约束理论(theory of constraints,TOC)和系统化创新思维方法(systematic inventive thinking,SIT)的基本原理,据此构造了基于约束理论的系统化创新思维方法模型,并针对该模型提出了基于上述的理论与方法集成模式的创新设计方法。该方法采用约束理论的当前实现树和冲突解决图表分析问题、定义冲突,并将分析结果用以辅助系统创新思维方法的重构。根据重构的问题选择系统化创新思维策略,从而选择并应用恰当的创新思维激励方法获得解决方案。最后通过实例分析,验证了该方法的可行性。展开更多
In this paper, both output-feedback iterative learning control(ILC) and repetitive learning control(RLC) schemes are proposed for trajectory tracking of nonlinear systems with state-dependent time-varying uncertaintie...In this paper, both output-feedback iterative learning control(ILC) and repetitive learning control(RLC) schemes are proposed for trajectory tracking of nonlinear systems with state-dependent time-varying uncertainties. An iterative learning controller, together with a state observer and a fully-saturated learning mechanism, through Lyapunov-like synthesis, is designed to deal with time-varying parametric uncertainties. The estimations for outputs, instead of system outputs themselves, are applied to form the error equation, which helps to establish convergence of the system outputs to the desired ones. This method is then extended to repetitive learning controller design. The boundedness of all the signals in the closed-loop is guaranteed and asymptotic convergence of both the state estimation error and the tracking error is established in both cases of ILC and RLC. Numerical results are presented to verify the effectiveness of the proposed methods.展开更多
Abstract--Vapor compression refrigeration cycle （VCC） system is a high dimensional coupling thermodynamic system for which the controller design is a great challenge. In this paper, a model predictive control based ...Abstract--Vapor compression refrigeration cycle （VCC） system is a high dimensional coupling thermodynamic system for which the controller design is a great challenge. In this paper, a model predictive control based energy efficient control strategy which aims at maximizing the system efficiency is proposed. Firstly, according to the mass and energy conservation law, an analysis on the nonlinear relationship between superheat and cooling load is carried out, which can produce the maximal effect on the system performance. Then a model predictive control （MPC） based controller is developed for tracking the calculated setting curve of superheat degree and pressure difference based on model identified from data which can be obtained from an experimental rig. The proposed control strategy maximizes the coefficient of performance （COP） which depends on operating conditions, in the meantime, it meets the changing demands of cooling capacity. The effectiveness of the control performance is validated on the experimental rig. Index Terms--Cooling load, model predictive control （MPC）, superheat, vapor compression refrigeration cycle （VCC）.展开更多
On the basis of analysis of the operating characteristics of SMEs, problems in financial management are pointed out, such as： limited financing channels, lack of internal control systems, weak basic accounting and ba...On the basis of analysis of the operating characteristics of SMEs, problems in financial management are pointed out, such as： limited financing channels, lack of internal control systems, weak basic accounting and backward financial management information construction, and measures like to create a favorable policy and service environment for SMEs through the legal system, to innovate the financial system, to pay attention to nurturing and incentive financial innovation talents, network-building management and to establish related punishment and supervision system, are proposed.展开更多
文摘研究了约束理论(theory of constraints,TOC)和系统化创新思维方法(systematic inventive thinking,SIT)的基本原理,据此构造了基于约束理论的系统化创新思维方法模型,并针对该模型提出了基于上述的理论与方法集成模式的创新设计方法。该方法采用约束理论的当前实现树和冲突解决图表分析问题、定义冲突,并将分析结果用以辅助系统创新思维方法的重构。根据重构的问题选择系统化创新思维策略,从而选择并应用恰当的创新思维激励方法获得解决方案。最后通过实例分析,验证了该方法的可行性。
基金supported by the Third Level of Hangzhou 131 Young Talent Cultivation Plan Funding2018 Soft Science Research Project of Zhejiang Provincial Science and Technology Department Zhejiang Province Construction and participate in the“The Belt and Road”Technology Innovation Community Path Research(2018C35029)
文摘In this paper, both output-feedback iterative learning control(ILC) and repetitive learning control(RLC) schemes are proposed for trajectory tracking of nonlinear systems with state-dependent time-varying uncertainties. An iterative learning controller, together with a state observer and a fully-saturated learning mechanism, through Lyapunov-like synthesis, is designed to deal with time-varying parametric uncertainties. The estimations for outputs, instead of system outputs themselves, are applied to form the error equation, which helps to establish convergence of the system outputs to the desired ones. This method is then extended to repetitive learning controller design. The boundedness of all the signals in the closed-loop is guaranteed and asymptotic convergence of both the state estimation error and the tracking error is established in both cases of ILC and RLC. Numerical results are presented to verify the effectiveness of the proposed methods.
基金supported by the National Natural Science Foundation of China(61233004,61221003,61374109,61473184,61703223,61703238)the National Basic Research Program of China(973 Program)(2013CB035500)+1 种基金Shandong Provincial Natural Science Foundation of China(ZR2017BF014,ZR2017MF017)the National Research Foundation of Singapore(NRF-2011,NRF-CRP001-090)
文摘Abstract--Vapor compression refrigeration cycle （VCC） system is a high dimensional coupling thermodynamic system for which the controller design is a great challenge. In this paper, a model predictive control based energy efficient control strategy which aims at maximizing the system efficiency is proposed. Firstly, according to the mass and energy conservation law, an analysis on the nonlinear relationship between superheat and cooling load is carried out, which can produce the maximal effect on the system performance. Then a model predictive control （MPC） based controller is developed for tracking the calculated setting curve of superheat degree and pressure difference based on model identified from data which can be obtained from an experimental rig. The proposed control strategy maximizes the coefficient of performance （COP） which depends on operating conditions, in the meantime, it meets the changing demands of cooling capacity. The effectiveness of the control performance is validated on the experimental rig. Index Terms--Cooling load, model predictive control （MPC）, superheat, vapor compression refrigeration cycle （VCC）.
文摘On the basis of analysis of the operating characteristics of SMEs, problems in financial management are pointed out, such as： limited financing channels, lack of internal control systems, weak basic accounting and backward financial management information construction, and measures like to create a favorable policy and service environment for SMEs through the legal system, to innovate the financial system, to pay attention to nurturing and incentive financial innovation talents, network-building management and to establish related punishment and supervision system, are proposed.
