Quantitative mean square exponential stability and stabilization of stochastic systems with Markovian switching

This paper is concerned with the quantitative mean square exponential stability and stabilization for stochastic systems with Markovian switching. First, the concept of quantitative mean square exponential stability(QMSES) is introduced, and two stability criteria are derived. Then, based on an auxiliary definition of general finite-time mean square stability(GFTMSS), the relations among QMSES, GFTMSS and finite time stochastic stability (FTSS) are obtained. Subsequently, QMSE-stabilization is investigated and several new sufficient conditions for the existence of the state and observer-based controllers are provided by means of linear matrix inequalities. An algorithm is given to achieve the relation between the minimum states’ upper bound and the states’ decay velocity. Finally, a numerical example is utilized to show the merit of the proposed results.     

A new distributed Kalman filtering based on means-quare estimation upper bounds

In this paper, a novel distributed Kalman filter consisting of a bank of interlaced filters is proposed for a signal model whose dynamic equation and measurement equation are coupled. Each of the interlaced filters estimates a part of state rather than the global state using its and its neighbor information, which is different from other distributed filters already existed (e.g., distributed Kalman filter based on diffusion strategy or consensus strategy, distributed fuzzy filter and distributed particle filter with Gaussian mixer approximation, etc). This relieves the calculation and communication burden in networks. In addition, the proposed distributed Kalman filtering contains no consensus strategies, which is useful in some cases since consensus usually requires an infinite number of iterations.     

Stability analysis of continuous-time systems with time-varying delay using new Lyapunov–Krasovskii functionals

This paper studies the stability of linear continuous-time systems with time-varying delay by employing new Lyapunov–Krasovskii functionals. Based on the new Lyapunov–Krasovskii functionals, more relaxed stability criteria are obtained. Firstly, in order to coordinate with the use of the third-order Bessel-Legendre inequality, a proper quadratic functional is constructed. Secondly, two couples of integral terms $\{{\int }_{t?h_t}^{s}x\left(s\right)ds,{\int }_s^{t}x\left(s\right)ds\}$ and $\{{\int }_{t?h_M}^{s}x\left(s\right)ds,{\int }_s^{t?h_t}x\left(s\right)ds\}$ are involved in the integral functionals ${\int }_{t?h_t}^t(·)ds$ and ${\int }_{t?h_M}^{t?h_t}(·)ds,$ respectively, so that the coupling information between them can be fully utilized. Finally, two commonly-used numerical examples are given to demonstrate the effectiveness of the proposed method.     

Google Calendar在成人学习时间管理中的应用

作为社会工作者、家庭承担者、学习者等多重社会角色的成人,在其学习过程中,面临着渴望学习但学习时间受限且安排不合理的困境。学习时间不够、时间不合理安排,显然成为成人学习过程中一个亟待解决的问题。成人只有协调好各方面的时间分配问题,才能保证学习的顺利开展。本文从应用的角度阐述了成人如何利用Google Calendar为平台工具进行学习时间的管理。     

Distributed dynamic state estimation with parameter identification for large-scale systems

In this paper, we consider a distributed dynamic state estimation problem for time-varying systems. Based on the distributed maximum a posteriori (MAP) estimation algorithm proposed in our previous study, which studies the linear measurement models of each subsystem, and by weakening the constraint condition as that each time-varying subsystem is observable, this paper proves that the error covariances of state estimation and prediction obtained from the improved algorithm are respectively positive definite and have upper bounds, which verifies the feasibility of this algorithm. We also use new weighting functions and time-varying exponential smoothing method to ensure the robustness and improve the forecast accuracy of the distributed state estimation method. At last, an example is used to demonstrate the effectiveness of the proposed algorithm together with the parameter identification.     

论电化教学过程中的干扰及其抑制

本文从思想、技术、使用和环境等方面论述了电化教学过程中产生的各种干扰因素．并提出了抑制这些干优因素的基本方法。     

Technical research on optimization design of contacts of electrical connector

Pin and socket contacts are the key parts of electrical connector as aerospace electronic components. The contacts are also the direct carriers for signal transmitting of electronic equipments, passing the signal from the input end to the output end of electrical connector. The reliability of pin and socket contacts directly influences signal transmission. The goal of this study is to enhance the contact reliability of aerospace electrical connector. Computer simulation analysis was made on contacts performance data by utilizing the simulation system developed by PCL Language of MSC software. Furthermore, the results were experi- mentally validated so as to realize the objective of optimizing contacts design.     

Study on the electrical properties of young concrete

The process of hydration and solidification of young concrete has significant effect on the long term strength and durability of concrete. The electrical property of concrete provides a direct and practical method for monitoring and investigating the hydration process of young concrete. This study developed an advanced system for measurement of electrical parameters, used to study the electrical properties of young concrete. The test results provided the electric parameters for concretes with different water binder ratios and different mineral admixture incorporations. The variations and characteristics of the measured electrical parameters were closely related to the physical and chemical properties of young concrete. These parameters were used to analyze and study the hydration process of young concrete.     

谈高职高专《电机与电气控制技术》课程的教学改革

高职高专教育是以就业为导向和培养高等技术应用型人才的教育。《电机与电气控制技术》是一门理论性、实践性、技术性和操作性都很强的专业课。《电机与电气控制技术》课程的教学改革应转变教育思想和观念;其二,加强实践性教学,培养学生的动手能力;其三,改进教学方法,提高学生的学习兴趣;最后是加强"双师素质"队伍的培养。     

Measurement of oil volume fraction and velocity distributions in vertical oil-in-water flows using ERT and a local probe

INTRODUCTION The need for metering multiphase flow in the petroleum industry has been evident for many years. Considerable research has been conducted into this field for developing a suitable flowmeter which can be used in industrial environments. Various tech- nologies have been employed, and among which the tomographic techniques are increasingly being used. Process tomography is an emerging measure- ment technology with applications in a broad range of industries. It is non-invasive a…