网络时代高校团工作的新思路

网络时代机遇和挑战并存,作为先进青年的群众组织,如何在网络阵地体现先进性,发挥战斗力,是高校共青团工作面临的新课题。本文通过互联网形势的分析和教育对象特征研究,从工作模式、管理手段、教育方法、服务载体等四个方面入手,探索网络时代高校共青团工作新思路。     

高校民族预科生健康人格养成教育

本文结合云南大学马加爵杀人案引发的社会反思,试图从社会转轨期对人格形成的影响以及高校民族预科生这一特殊群体的人格表现出发,对当前高校农村生、贫困生存在的种种心理问题进行思考和剖析,并探索和发展新形势下对高校民族预科生健康人格养成教育的有效途径。     

大学制度的分层研究

对大学制度的认识仅停留在观念上是远远不够的,还必须从技术层面深入解读,这就要求对大学制度进行分层研究。搞清楚究竟应该具备哪些制度才能使一所大学成为真正意义上的大学;究竟一所大学应该建立哪些制度才能保证大学功能的正常发挥;究竟至少需要哪些制度才能保证大学日常工作有条不紊地开展。所有这些制度安排使得大学和谐而高效地通过积累知识、传播知识、运用知识、发展知识、创新知识的各种活动来达到培养人才、研究科学、服务和引导社会的目标。     

大学合并与"后合并"时代的对话--中日高等学校合并重组的比较研究

中国大学进入“后合并”时代,日本大学进入合并时代,这是世界高等教育发展史上两起最大的高校合并重组事件。本文从上述事件对两国高等教育发展改革的影响、作用出发开展的比较研究,主要从大学合并重组的历史渊源、时代提出的新要求、主要特征、可共同借鉴的经验教训与发展趋势等主要方面进行了探讨。     

为地方经济建设服务扩大地方高校学报发展空间--《苏州科技学院学报(工程技术版)》服务地方的认识与做法

地方高校学报理当为地方经济建设和社会发展服务,而地方经济、社会的发展则为学报提供了广阔的用武之地.<苏州科技学院学报(工程技术版)>根据学校的专业特色和学科优势,除了报道适合各地、具有普遍意义的研究成果外,还加强对地方经济和社会等方面的理论研究与应用研究成果的报道,刊发了环境科学、建筑工程、防灾应变、古城保护等方面的论文.学报在为地方经济建设服务中不断扩大发展空间,努力体现刊物特色.     

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.     

Impulsive control for passivity and exponential synchronization of coupled neural networks with multiple weights

This paper investigates the passivity and synchronization problems for two classes of multiple weighted coupled neural networks (MWCNNs) with or without time delays. Firstly, by utilizing an impulsive control strategy and some inequality techniques, several passivity criteria for MWCNNs with diverse dimensions of output and input are established. Then, based on the Lyapunov functional, some sufficient conditions to ensure the synchronization of MWCNNs via impulsive control are derived. In addition, combined with the comparison principle and the impulsive delay differential inequality, the global exponential synchronization of MWCNNs with time-varying delays is considered under impulsive control. Finally, two numerical examples illustrate the effectiveness of the obtained results.     

Optimal synchronization controller design for complex dynamical networks with unknown system dynamics

In this paper, the optimal synchronization controller design problem for complex dynamical networks with unknown system internal dynamics is studied. A necessary and sufficient condition on the existence of the optimal control minimizing a quadratic performance index is given. The optimal control law consists of a feedback control and a compensated feedforward control, and the feedback control gain can be obtained by solving the well-known Algebraic Riccati Equation (ARE). Especially, in the presence of unknown system dynamics, a novel adaptive iterative algorithm using the information of system states and inputs is proposed to solve the ARE to get the optimal feedback control gain. Finally, a simulation example shows the effectiveness of the theoretical results.     

Fractional order sliding mode control of a pneumatic position servo system

Gas flow has fractional order dynamics; therefore, it is reasonable to assume that the pneumatic systems with a proportional valve to regulate gas flow have fractional order dynamics as well. There is a hypothesis that the fractional order control has better control performance for this inherent fractional order system, although the model used for fractional controller design is integer order. To test this hypothesis, a fractional order sliding mode controller is proposed to control the pneumatic position servo system, which is based on the exponential reaching law. In this method, the fractional order derivative is introduced into the sliding mode surface. The stability of the controller is proven using Lyapunov theorem. Since the pressure sensor is not required, the control system configuration is simple and inexpensive. The experimental results presented indicate the proposed method has better control performance than the fractional order proportional integral derivative (FPID) controller and some conventional integral order control methods. Points to be noticed here are that the fractional order sliding mode control is superior to the integral order sliding mode counterpart, and the FPID is superior to the corresponding integral order PID, both with optimal parameters. Among all the methods compared, the proposed method achieves the highest tracking accuracy. Moreover, the proposed controller has less chattering in the manipulated variable, the energy consumption of the controller is therefore substantially reduced.     

State and unknown input estimations for discrete-time switched linear systems with average dwell time

In this paper, the problem of state and unknown input estimations for a class of discrete-time switched linear systems with average dwell time switching is investigated. First, a proportional integral observer with an exponential H_∞ performance is constructed to estimate the system state and unknown input simultaneously. Second, both of the observability and the stability of the estimation error system are analyzed, then the derivation of the observer gain matrices is transformed into the calculation of linear matrix inequalities. Third, the obtained results are extended to the systems with output disturbances. Finally, two simulation examples are provided to show the validity and effectiveness of the proposed methods.