视觉工作记忆中数量和精度的权衡关系是否受个体自发控制

视觉工作记忆中记忆表征的数量和精度之间存在着负相关,这种负相关关系被视为数量和精度之间的权衡。但这一权衡过程是完全由刺激驱动,还是个体可以根据任务需求自发进行控制尚不清楚,由此引发了关于记忆资源分配机制的一场争论。本文系统地梳理了数量和精度的权衡关系是否受个体自发控制相关研究的发展历程,指出了影响个体能否自发进行控制受到记忆项目呈现时间及个体视觉工作记忆容量的影响,最后就未来研究仍需解决的问题提出进一步的建议。

梯-型三能级系统中自发辐射的量子相干控制

采用从基态到第一激发态为双激光场驱动的物理模型,对梯形三能级系统中自发辐射的相干控制进行了分析,通过变换驱动激光场之间的相对相位得到了一些主要结果.共振激发时,谱线呈现出三个谱峰的对称形式.当初始相位相同时,两边辐射峰值较高而中间峰值较低.随着初相位差的增加,两边谱峰之间的距离逐渐增大,谱线的高度逐渐下降,中心谱线的高度随着初始相位差的增加逐渐增大,宽度逐渐变小,直至成为一条较为尖锐的线,实现了对两边谱峰的完全抑制效应.采用下能级为双激光场激发的梯-型三能级系统,通过变换激光场之间的相对相位,实现了对激发态自发辐射的量子相干控制,观察到自发辐射光谱的抑制及谱线的猝灭等效应.

新疆电网自动频率发电控制

介绍了TPR－100型功率自动调节装置在新疆电网中发挥自动调频和调整电力系统时钟误差的功能，并进一步与EMS结合，实现电网的自动频率发电控制的应用情况。该系统在新疆玛纳斯电厂经现场调试，试运行成功，已正式投入使用，在电网自动频率发电控制系统中发挥作用。

沙角B电厂AGC自动发电控制方式的建立及投运

介绍面对电网优化运行及自动负荷调度的要求，对原控制系统（电厂侧及中调侧）进行设计修改、施工调试，成功地实现了中调与电厂之间的AGC（自动发电控制）运行方式情况，分析系统的构建、逻辑控制、试验及投运效果。

系统自然频率特性系数的实测与计算

电力系统自然频率特性系数是 AGC控制中的一个重要参数。文中讨论了利用蓄能机组的投切模拟负荷突变的情况 ,通过 EMS和频率测量系统采集带时标的数据 ,分析并计算系统自然频率特性系数的实测试验方法。系统负荷频率特性系数在电力系统运行分析中占有重要地位。文中还讨论了结合统计数据来计算系统负荷频率特性系数的实用方法。

微腔与腔量子电动力学研究进展

光学微腔中原子之自发辐射与自由空间中原子的自发辐射有着重要的不同。微腔能够控制腔内原子的自发辐射,使自发辐射得到抑制或增强,并有可能使自发辐射成为一个可逆过程。由此发展起来的腔量子电动力学能够阐述腔场与原子的相互作用。本文简要介绍了这一研究领域的背景和进展,同时介绍了微腔的重要应用-无阈值激光器。

自适应型低频减载装置的研究

介绍一种自适应型低频减载装置的方案 ,它依据频率和频率的变化率 ,动态的确定减负荷装置的动作情况。自动减负荷装置与旋转备用容量的作用相协调。

MODEL REFERENCE ADAPTIVE CONTROL BASED ON NONLINEAR COMPENSATION FOR TURBOFAN ENGINE

The design of a turbofan rotor speed control system, using model reference adaptive control（MRAC） method with input and output measurements, is discussed for the purpose of practical application. The nonlinear compensator based on functional link neural network is used to deal with the engine nonlinearity and the hardware-in-loop simulation is also developed. The results show that the nonlinear MRAC controller has the adequate performance of compensating and adapting nonlinearity arising from the change of engine state or working environment. Such feature demonstrates potential practical applications of MRAC for aeroengine control system.

华中电网电力市场技术支持系统的构思

基于华中电网现有调度自动化系统的配置,对华中电网电力市场技术支持系统的构成和应用功能进行了探讨和构思;为适应电力市场的要求,对现有调度自动化系统的部分功能提出了改造意见,对需增加的功能提出了设计方案。

学前儿童情绪表达自发性控制的发展及心理理论的作用

情绪表达自发性控制是儿童社会情绪能力发展的重要标志。学前儿童情绪表达自发性控制的行为、动机和信念的发展水平随年龄增长显著提高,行为和信念发展的关键期为4~5岁,动机发展的关键期为3~4岁;学前儿童心理理论能力随年龄增长显著提高,关键期为4~5岁;心理理论能力对情绪表达自发性控制的发展具有显著预测作用,且存在阶段性特征。应把握发展关键期,重视儿童情绪的早期培养;帮助儿童建立同理心,促进儿童亲社会性表达;尊重儿童学习方式,发挥父母在情绪教育中的重要作用。

Digital Coal Mine Integrated Automation System Based on ControlNet

A three-layer model for digital communication in a mine is proposed. Two basic platforms are discussed: A uniform transmission network and a uniform data warehouse. An actual,ControlNet based,transmission network plat-form suitable for the Jining No.3 coal mine is presented. This network is an information superhighway intended to inte-grate all existing and new automation subsystems. Its standard interface can be used with future subsystems. The net-work,data structure and management decision-making all employ this uniform hardware and software. This effectively avoids the problems of system and information islands seen in traditional mine-automation systems. The construction of the network provides a stable foundation for digital communication in the Jining No.3 coal mine.

Application of clutch to clutch gear shift technology for a new automatic transmission

For the purpose of engineering development for a new 8-step speed automatic transmission,a simplified dynamic model for this gearbox was established and key parameters which affected the shift quality were analyzed.Aiming at four different shift types,the ideal characteristics of shift clutch and engine control were set up.By using torque estimation method,PI slip control algorithm and engine coordinated control principle,the control model and transmission controller were well developed for three shift phases which included rapid-fill phase,torque phase and inertia phase.The testing environment on the rig and prototype vehicle level was built and the testing results obtained in ultimate condition could verify the accuracy and feasibility of this shift control strategy.The peak jerk during shift process was controlled within ±2 g/s where the smooth gearshift was obtained.The development proposal and algorithm have a high value for engineering application.

Necessary and Sufficient Conditions for Consensus in Third Order Multi-Agent Systems

We deal with a consensus control problem for a group of third order agents which are networked by digraphs.Assuming that the control input of each agent is constructed based on weighted difference between its states and those of its neighbor agents, we aim to propose an algorithm on computing the weighting coefficients in the control input. The problem is reduced to designing Hurwitz polynomials with real or complex coefficients. We show that by using Hurwitz polynomials with complex coefficients, a necessary and sufficient condition can be obtained for designing the consensus algorithm. Since the condition is both necessary and sufficient, we provide a kind of parametrization for all the weighting coefficients achieving consensus. Moreover, the condition is a natural extension to second order consensus, and is reasonable and practical due to its comparatively decreased computation burden. The result is also extended to the case where communication delay exists in the control input.

Adaptive Neural Network-Based Control for a Class of Nonlinear Pure-Feedback Systems With Time-Varying Full State Constraints

Abstract--In this paper, an adaptive neural network （NN） control approach is proposed for nonlinear pure-feedback sys- tems with time-varying full state constraints. The pure-feedback systems of this paper are assumed to possess nonlinear function uncertainties. By using the mean value theorem, pure-feedback systems can be transformed into strict feedback forms. For the newly generated systems, NNs are employed to approximate unknown items. Based on the adaptive control scheme and backstepping algorithm, an intelligent controller is designed. At the same time, time-varying Barrier Lyapunov functions （BLFs） with error variables are adopted to avoid violating full state constraints in every step of the backstepping design. All closed- loop signals are uniformly ultimately bounded and the output tracking error converges to the neighborhood of zero, which can be verified by using the Lyapunov stability theorem. Two simulation examples reveal the performance of the adaptive NN control approach. Index TermsmAdaptive control, neural networks （NNs）, non- linear pure-feedback systems, time-varying constraints.

Controlling the coal dust at transshipment point: A study of the foam-sol foaming device

In order to effectively control the dust at the transshipment point with foam-sol, this paper attempted to study the characteristics of dust diffusion at transshipment point and the foam-sol foaming device with diffusion outlet was also designed in this paper. To study the diffusion rules of coal dust, fluent discrete phase model was utilized in the numerical simulation, as the coal dust was thrown down at a horizontal velocity of 2.5 m/s. A foam-sol foaming device was designed, through which foaming agent could be automatically sucked into the Venturi by the negative pressure. The automatic controller was also equipped,which could transform the energy of the compressed air into the constant pressure difference so that the gelling agent could be qualitatively added into the gel container. The diffusion outlet that could spray out foam-sol in a continuous, conical and 3D manner was also designed. Moreover, this paper also carried out the contrast experiments on dust removal efficiency among water, aqueous foam and foam-sol. The results clearly show that the symmetrical whirlpools appeared below the inlet where the largest whirlpool diameter was 0.52 m, and the horizontal distance from swirl range to the inlet was approximately0.69 m. By using the self-designed foaming device, the foaming was multiplied by 30 times and the volume ratio with water and foaming agent reached 95%:5%. In this context, the gas pressure was controlled at 0.3 MPa, with gas flow at 15 m3/h and water flow at 0.5 m3/h, with water pressure controlled between0.34 and 0.36 MPa. The foam-sol has the highest dust removal efficiency than other agents.

Analysis and active control of low frequency booming noise in car

For Lightweight body,sound radiation and sound insulation performance have negative effects on interior noise by the deterioration of local stiffness and modality.So the research on the active control of vibration and noise for car body panels is useful for engineering.Analysis and active control of booming noise in car is researched by using a new active damping vibration reduction technology named smart constrained layer damping(SCLD).According to the vibration characters of body roof,an optimal placement of actuators is distributed.Based on dSPACE hardware in loop environment,an adaptive active control system is designed.Selecting vibration signals of engine mounting point as the reference input of adaptive controller,an active control experiment of booming noise for mini-car is carried out.Experimental results show that,when the engine speed is at 3700 RPM and4250RPM,the interior booming noise decreases 4.2dB(A),and 3.5dB(A) separately.It proposes new methods and techniques for intelligent control of car body NVH in the future.

Research on Power Control of Wind Power Generation Based on Neural Network Adaptive Control

For the characteristics of wind power generation system is multivariable, nonlinear and random, in this paper the neural network PID adaptive control is adopted. The size of pitch angle is adjusted in time to improve the perfomance of power control. The PID parameters are corrected by the gradient descent method, and Radial Basis Functiion （RBF） neural network is used as the system identifier in this method. Sinlation results show that by using neural network adaptive PID controller the generator power control can inhibit effectively the speed and affect the output prover of generator. The dynamic performnce and robustness of the controlled system is good, and the peformance of wind power system is improved.

A Robust Fault Detection and Isolation Scheme Based on Unknown Input Observers for Discrete Time-delay System with Disturbance

This paper proposes a robust fault detection and isolation (FDI) scheme for discrete time-delay system with disturbance. The FDI scheme can not only detect but also isolate the faults. The lifting method is exploited to transform the discrete time-delay system into the non-time-delay form. A generalized structured residual set is designed based on the unknown input observer (UIO). For each residual generator, one of the system input signals together with the corresponding actuator fault and the disturbance signals are treated as an unknown input term. The residual signals can not only be robust against the disturbance, but also be of the capacity to isolate the actuator faults. The proposed method has been verified by a numerical example.

Adaptive Anti-Synchronization Between Different Chaotic/Hyperchaotic Systems with Fully Unknown Parameters

The anti-synchronization between different chaotic/hyperchaotic systems with fully unknown parameters is considered in detail. Based on Lyapunov stability theory, the adaptive control schemes and parameter update rules are designed in this paper. Two numerical examples show the effectiveness and feasibility of the proposed method.

Research on Wind Farm Participation in Power Grid AGC Control

Since wind power has the features of being intermittent and unpredictable, and usually needs transmission over long distances, grid integration of large-scale wind power will exert signif icant influence on power grid planning and construction, and will make a heavy impact on the safe and reliable operation of power systems. To deal with the diff iculties of large scale wind power dispatch, this paper presents a new automatic generation control (AGC) scheme that involves the participation of wind farms. The scheme is based on ultra-short-term wind power forecast. The author establishes a generation output distribution optimization mode for the power system with wind farms and verif ies the feasibility of the scheme by an example.