用于AVS码流复制控制的数字水印

为应对日益严重的盗版问题,针对AVS视频标准提出了一种基于哥伦布码字调制的码流域水印嵌入算法,实现对视频码流信息的完整性保护并用于复制控制.在AVS码流中,基于码字与待嵌入比特之间的映射规则,采用等码长对码调制算法,调制相应的哥伦布码字实现水印信息的嵌入.信息的嵌入过程中,为了不影响视频重建图像的主客观质量,限制了水印信息的嵌入点,增强了水印信息的隐蔽性.信息的提取过程不需要原始视频内容,也不需完全解码,而只要对码流中的哥伦布码字进行解码即可.实验结果表明,所提出的水印算法在获得较高嵌入率的同时,不改变码流的比特率,基本不影响视频的主客观质量,没有增加大量的运算,复杂度低,速度快,能有效将水印信息嵌入到视频码流中,实现视频数据的复制控制功能.

分布式实时数据库系统中一种新的复制控制策略

为了更好地满足实时分布式数据库系统的实时性和一致性这两个基本要求 ,本文介绍了一种新的集成了实时任务调度和复制控制的复制控制算法 .

反义RNA对质粒复制的调控作用

反义RNA的存在最先是在质粒和其它原核附属DNA元件中被证实的.对这些体系深入的研究揭示了原核反义RNA结构和功能的联系,以及正义/反义RNA相互作用的机理.本文着重叙述反义RNA在质粒复制中的作用及其进展.

干扰素(IFN)产生的控制过程

干扰素（ＩＦＮ）产生的控制过程在干扰素的生成过程中，对干扰素的生成可以进行三个方面的控制，第一是“开关”控制，即在细胞中加入诱导剂后，控制是否开始生成干扰素；第二是过程控制，即在经过诱导剂处理后，控制激活干扰素基因的复制；第三是干扰素复制量大小的控制...

分布式系统中异地数据库的数据一致性维护

大型分布式系统通常需要在异地的数据库中存储同一数据的不同副本,不同副本之间需要维护数据的一致性。文章讨论了维护数据一致性的两种方法:消息队列法和复制控制法,并分别介绍了使用IBMMQSeries消息队列和MicrosoftSQLServer复制机制来维护数据一致的实现过程,对比分析了二者在实际应用中各自的特点,以及在理论上的技术差异。

干扰素的研究进展

干扰素是机体细胞在受到诱导剂作用时产生的一种机体糖蛋白,这种物质可使其他细胞获得免疫力。本文介绍了干扰素的分类、免疫作用机制及其产生过程的调控。

CSCW系统同步策略探讨

分析了CSCW系统的结构,提出了复制控制机制,给出了在线模式下的对象同步算法和离线模式下的对象合并算法.这些措施与其他机制一起能够很好地满足协同应用数据一致性的要求.

DIRECT SELF-REPAIRING CONTROL FOR HELICOPTER VIA QUANTUM CONTROL AND ADAPTIVE COMPENSATOR

A direct self-repairing control approach is proposed for helicopter via quantum control techniques and adaptive compensator when some complex faults occur. For a linear varying-parameter helicopter control system, the model reference adaptive control law is designed and an adaptive compensator is used for improving its self-re- pairing capability. To enhance anti-interference capability of helicopter, quantum control feedforward is added be- tween fault and disturbance. Simulation results illustrate the effectiveness and feasibility of the approach.

Application of a compound controller based on fuzzy control and support vector machine to ship's boiler-turbine coordinated control system

Multivariables, strong coupling, nonlinearity, and large delays characterize the boiler-turbine coordinated control systems for ship power equipment. To better deal with these conditions, a compound control strategy based on a support vector machine （SVM） with inverse identification was proposed and applied to research simulating coordinated control systems. This method combines SVM inverse control and fuzzy control, taking advantage of the merits of SVM inverse controls which can be designed easily and have high reliability, and those of fuzzy controls, which respond rapidly and have good anti-jamming capability and robustness. It ensures the controller can be controlled with near instantaneous adjustments to maintain a steady state, even if the SVM is not trained well. The simulation results show that the control quality of this fuzzy-SVM compound control algorithm is high, with good performance in dynamic response speed, static stability, restraint of overshoot, and robustness.

Simulation Research on Structure Changing Control over the Follow Up System of the Smart Mine

By analyzing the target's motion pattern, in terms of the requirement for the performance indexes of the follow up system, the structure changing control and time optimal theory is proposed. The system's control scheme from three different aspects(the dynamic response simulation, compound control simulation and dynamic tracking simulation) is also studied. And all the results proved the feasibility of the synthetical utilization of the open loop control, speed decreased control and position closed loop control.

Design and analysis of dual-mode structure repetitive control based hybrid current regulation scheme for active power filters

An all-digital hybrid current regulation scheme for the single-phase shunt active power filter （APF） is presented. The proposed hybrid current control scheme integrates the deadbeat control and the dual-mode structure repetitive control （DMRC） so that it can offer superior steady-state performance and good transient features. Unlike the conventional schemes, the proposed scheme-based APF can compensate both the odd and the even order harmonics in grid. The detailed design criteria and the stability analysis of the proposed hybrid current controller are presented. Moreover, an improved structure which incorporates the proposed hybrid controller and the resonant controller for tracking specific order harmonics is given. The relationships between the resonant controller and different repetitive control schemes are discussed. Experimental results verify the effectiveness and advantages of the proposed hybrid control scheme.

Composite control for coagulation process with time delay and disturbances

A composite control scheme consisting of modepredictive control （MPC） and disturbance observer （DOB） iproposed to solve the control performance degradationproblem of the turbidity of the treated water in the presence osignificant changes in raw water quality, water flow rate andinternal model mismatch disturbances. The MPC is employedas a feedback controller for the coagulation process with alarge time delay. The DOB is adopted to estimate the severedisturbances in the turbidity control, such as large changes inraw water quality and water flow rate. The estimated valuesare applied for feed-forward compensation to rejecdisturbances. Finally, the disturbance rejection performancesfor step disturbances and time-varying disturbances in thenominal case and model mismatch case are tested. Thesimulation results illustrate that, compared with the MPCmethod, the proposed method can significantly improve thedisturbance rejection performance in the turbidity control othe treated water, no matter if in the presence of externadisturbances or internal model mismatch disturbances.

Target Seeker Gyro and Controls

A composite target seeker gyro with dual spectral range infrared rays and millimeter waves, and the associated control methodology are developed. The static pressure air floated ball bearing is used to sustain the outer frame, the optical fiber and wave guide are used to transmit these two kinds of signals to the rear part of the gyro, and the stator coils are used to get non contact angular measurement. Composite guiding, scanning, tracing and controlling can be achieved, the maximum tracing angular velocity can be as high as 16(°)/s.

Recent advances on Bi_(2)WO_(6)‐based photocatalysts for environmental and energy applications

Bismuth tungstate(Bi_(2)WO_(6))has become a research hotspot due to its potential in photocatalytic energy conversion and environmental purification.Nevertheless,the limited light absorption and fast recombination of photogenerated carriers hinder the further improvement of the photocatalytic performance of Bi_(2)WO_(6).Herein,we provide a systematic review for the recent advances on Bi_(2)WO_(6)‐based photocatalysts.It starts with the crystal structure,optical properties and photocatalytic fundamentals of Bi_(2)WO_(6).Then,we focus on the modification strategies of Bi_(2)WO_(6)based on morphology control,atomic modulation and composite fabrication for diverse photocatalytic applications,such as organic synthesis,water splitting,CO2 reduction,water treatment,air purification,bacterial inactivation,etc.Finally,some current challenges and future development prospects are proposed.We expect that this review can provide a useful reference and guidance for the development of efficient Bi_(2)WO_(6)photocatalysts.

Fuzzy gain-scheduling output feedback controller design for saturated linear plants

In this paper, the control design problem for linear systems subject to actuator saturations is considered. A fuzzy gain-scheduling output feedback controller is proposed to guarantee the stability of the closed-loop system as well as providing disturbance/error attenuation measured in L2 norm. The synthesis condition is cast as a convex optimization problem in terms of linear matrix inequalities (LMIs) and can be solved efficiently. The ball-beam system is used to demonstrate the proposed saturation control approach.

Improved Repetitive Control for High-Precision Satellite Rendezvous

This paper is focused on control design for high-precision satellite rendezvous systems.A relative motion model of leader-follower satellites described by relative orbit elements(ROE)is adopted,which has clear geometric meaning and high accuracy.An improved repetitive control(IRC)scheme is proposed to achieve high-precision position and velocity tracking,which utilizes the advantage of repetitive control to track the signal precisely and conquers the effects of aperiodic disturbances by adding a nonsingular terminal sliding mode(NSTSM)controller.In addition,the nonlinear state error feedback(NLSEF)is used to improve the dynamic performance of repetitive controller and the radial basis function(RBF)neural networks are employed to approximate the unknown nonlinearities.From rigorous Lyapunov analysis,the stability of the whole closed-loop control system is guaranteed.Finally,numerical simulations are carried out to assess the efficiency and demonstrate the advantages of the proposed control scheme.

Stabilization of Delayed Networks with Different Nodes

In this paper,the control of complex delayed networks with different nodes is proposed.Firstly,the stabilization of coupled networks with time delay is investigated.By constructing a Lyapunov function,a linear feedback controller design procedure for the networks is converted to the problem of solving a set of linear matrix inequalities.Then the results are extended to networks with both delayed dynamical nodes and delayed couplings.It is shown that the stabilization of complex networks is determined by the dynamics of each uncoupled node,coupling matrix and feedback gain matrix of networks.Two examples are simulated.In the first example,a network with 10 nodes consisting of Lorenz systems and systems proposed by Zhang in 2009 is given.It is found that the network states are divergent without control,and convergent under designed linear feedback controllers.In the second example,a larger network with 100 nodes consisting of delayed Chen systems and delayed Lorenz systems is given.The proposed method is also effective for large scale networks.

Study on High Accuracy Hybrid Controller for Periodic Motion Control

In order to realize high accuracy control for periodic motion,a hybrid controller with grey prediction was presented in this paper.Incorporating the grey prediction,repetitive control,and the traditional Proportional-Integral-Differential(PID)control,a design method of the grey prediction repetitive PID(GRPID)control algorithm was investigated,according to the characteristics of the periodic motion control.The hybrid control algorithm can estimate unsure parameters and disturbance of system using grey prediction,and compensate control in terms of the prediction results,and this may improve control quality and robustness of repetitive control for controlling periodic motion.An example was carried out to verify the feasibility of the controller.The simulation results show that this algorithm has better performances than that of the conventional repetitive control system.It indicates the presented control method is more suitable for control system of periodic motion.

A Simulation Study of Higee Rotor Auto-balancing Based on Iterative Learning Control

Hypergravity technology has a wide application prospect on many industry areas for its powerful ability on multiphase flow transport and reaction.In its long-term operation,vibration control of higee rotor is an important guarantee for high-quality continuous outputs.Offline approach has great influence on continuity of the whole production line.In order to study online auto-balancing control strategy,a mathematical model of higee rotor was established.Then basic Iterative Learning Control(ILC)algorithm and its improved structure based on vector analysis were introduced.Pure injection balancer and electromagnetic balancer were separately used as the actuator.Three different control algorithms(P control using Cohen-Coon parameter tuning law,basic ILC,and improved ILC based on vector analysis)were compared under single eccentric mass disturbance and continuous ones.Simulation results manifested the effects of ILC in rotor auto-balancing control,especially on the "over-control" issue during the balancing process.

Dynamic Voltage Restorer with Active Disturbance Rejection Control

Power quality is one of the major concerns among consumers and electric utility companies. CUPS （custom power systems） devices are used to improve the quality of power and enhance the reliability of the power supply in the distribution networks. The DVR （dynamic voltage restorer） is an important CUPS device used to mitigate voltage sag/swell and imbalances. Various control techniques have been implemented to control the DVR, among which the PID （proportional-integral-derivative） controller is dominant because of its model independent property and its error driven technique. In this paper, a new controller based on the ADRC （active disturbance rejection control） concept is developed, and its performance is compared to that of the PID controller. The model of the DVR and its ADRC and PID controllers were developed under the MATLAB （matrix laboratory）/Simulink environment. The simulation results demonstrated the effectiveness of the ADRC over the PID controller.