Potential control of climatic changes on flood events in the Yangtze Delta during1100-2002

Wide collection on the historic records of the climatic changes and flood events is performed in the Yangtze Delta. Man-Kendall (MK) method is applied to explore the changing trends of the time series of the flood discharge and the maximum high summer temperature. The research results indicate that the flood magnitudes increased during the transition from the medieval warm interval into the early Little Ice Age. Fluctuating climate changes of the Little Ice Age characterized by arid climate events followed by the humid and cold climate conditions give rise to the frequent flood hazards. Low-lying terrain made the study region prone to the flood hazards, storm tide and typhoon. MK analysis reveals that the jumping point of the time series of the flood discharge changes occurred in the mid-1960s, that of the maximum summer temperature changes in the mid-1990s, and the exact jump point in 1993. The flood discharge changes are on negative trend before the 1990s, they are on positive tendency after the 1990s; the maximum high summer temperature changes are on negative trend before the 1990s and on positive tendency after the 1990s. These results indicate that the trend of flood discharge matches that of the maximum high summer temperature in the Yangtze Delta. The occurrence probability of the maximum high summer temperature will be increasing under the climatic warming scenario and which will in turn increase the occurrence probability of the flood events. More active solar action epochs and the higher sea surface temperature index (SST index) of the south Pacific Ocean area lying between 4 o N-4 o S and 150 o W-90 o W correspond to increased annual precipitation, flood discharge and occurrence frequency of floods in the Yangtze Delta. This is partly because the intensified solar activities and the higher SST index give rise to accelerated hydrological circulation from ocean surface to the continent, resulting in increased precipitation on the continent.

Hybrid event based control architecture for tele-robotic systems controlled through Internet

A new hybrid event based control architecture for tele-robotic systems controlled through the Internet is pro-posed in this paper. Different from the traditional event based control method, the new framework does not require every part of the system to be strictly event synchronized. Instead, it allows time referenced control components to be integrated into this framework, which makes it more convenient to develop Internet based control systems. Since there are two reference variables, time and event, in this architecture, how to coordinate these components with different references to keep the stability of the whole system is discussed in detail in this paper. To verify this new idea, an experiment was conducted to control the end effector of a PUMA robot tracking a continuous state trajectory given on-line by the remote operator. Ex-perimental results confirmed the stability of such systems being controlled through the Internet in real-time.

PC synchronization of a class of chaotic systems via event-triggered control

The PC synchronization of a class of chaotic systems is investigated in this paper. The drive system is assumed to have only one state variable available. By constructing proper observers, some novel criteria for PC synchronization are proposed via event-triggered control scheme. The Lii system and Chen system are taken as examples to demonstrate the efficiency of the proposed approach.

Synchronization of Markovian jumping complex networks with event-triggered control

This paper investigates event-triggered synchronization for complex networks with Markovian jumping parameters.Nonlinear dynamics with Markovian jumping parameters is considered for each node in a complex network. By utilizing the proposed event-triggered strategy, and based on the Lyapunov functional method and linear matrix inequality technology,some sufficient conditions for synchronization of complex networks are derived whether the transition rate matrix for the Markov process is completely known or not. Finally, a numerical example is presented to illustrate the effectiveness of the proposed theoretical results.

State-dependent event-triggered control of multi-agent systems

Event-triggered control has been recent/y proposed as an effective strategy for the consensus of multi-agent systems. We present an improved distributed event-triggered control scheme that remedies a shortcoming of some previous event- triggered control schemes in the literature. This improved distributed event-triggered method has no need for continuously monitoring each agent＇ neighbors. Moreover, each agent in the multi-agent systems will not exhibit the Zeno behavior. Numerical simulation results show the effectiveness of the proposed consensus control.

Liveness Problem of Petri Nets Supervisory Control Theory for Discrete Event Systems

A quite great progress of the supervisory control theory for discrete event systems (DES)has been made in the past nearly twenty years, and now, automata, formal language and Petri nets become the main research tools. This paper focus on the Petri nets based supervisory control theory of DES. Firstly, we review the research results in this field, and claim that there generally exists a problem in Petri nets based supervisory control theory of DES, that is, the deadlock caused by the controller introduced to enforce the given specification occurs in the closed-loop systems, especially the deadlock occurs in the closed-loop system in which the original plant is live. Finally, a possible research direction is presented for the solution of this problem.

Enhanced inhibitory control during re-engagement processing in badminton athletes:An event-related potential study

Purpose:The purpose of present study was to investigate the impact of sport experience on response inhibition and response re-engagement in expert badminton athletes during the stop-signal task and change-signal task.Methods:A total of 19 badminton athletes and 20 nonathletes performed both the stop-signal task and change-signal task.Reaction times(RTs)and event-related potentials were recorded and analyzed.Results:Behavioral results indicated that badminton athletes responded faster than nonathletes to go stimuli and to change signals,with faster change RTs and change-signal RTs,which take into consideration the variable stimulus onset time mean.During successful change trials in the change-signal task,the amplitudes of the event-related potential components N2 and P3 were smaller for badminton athletes than for nonathletes.Moreover,change-signal RTs and N2 amplitudes as well as change RTs and P3 amplitudes were significantly correlated in badminton athletes.A significant correlation was also found between the amplitude of the event-related potential component N1 and response accuracy to change signals in badminton athletes.Conclusion:Moderation of brain cortical activity in badminton athletes was more associated with their ability to rapidly inhibit a planned movement and re-engage with a new movement compared with nonathletes.The superior inhibitory control and more efficient neural mechanisms in badminton athletes compared with nonathletes might be a result of badminton athletes’ professional training experience.

Time-varying formation for general linear multi-agent systems via distributed event-triggered control under switching topologies

This paper investigates the time-varying formation problem for general linear multi-agent systems using distributed event-triggered control strategy.Different from the previous works,to achieve the desired time-varying formation,a distributed control scheme is designed in an event-triggered way,in which for each agent the controller is triggered only at its own event times.The interaction topology among agents is assumed to be switching.The common Lyapunov function as well as Riccati inequality is applied to solve the time-varying formation problem.Moreover,the Zeno behavior of triggering time sequences can be excluded for each agent.Finally,a simulation example is presented to illustrate the effectiveness of the theoretical results.

Function Observer Based Event-triggered Control for Linear Systems with Guaranteed L_∞-Gain

This paper is devoted to event-triggered control design for linear systems based on function observer. More specifically, the main purpose is to design event-triggered mechanisms that trigger transmissions when the difference between the current value of the system and its previously transmitted value which includes the plant output or the function observer output exceeds an additional threshold. For such an eventtriggered mechanism, we derive conditions in terms of matrix inequality to guarantee the stability as well as longer inter-event time. We propose two approaches to investigate the closed-loop model, namely, reformulating the event-triggered control system as a hybrid system and interpreting the event-induced error as exogenous disturbance. Furthermore, the minimum inter-event time is guaranteed to be strictly positive. An example is presented to illustrate the feasibility and efficiency of the theoretic results. © 2014 Chinese Association of Automation.

Event-triggered robust guaranteed cost control for two-dimensional nonlinear discrete-time systems

An event-triggered scheme is proposed to solve the problems of robust guaranteed cost control for a class of two-dimensional(2-D)discrete-time systems.Firstly,an eventtriggered scheme is proposed for 2-D discrete-time systems with parameter uncertainties and sector nonlinearities.Then,according to the Lyapunov functional method,the sufficient conditions for the existence of event-triggered robust guaranteed cost controller for 2-D discrete-time systems with parameter uncertainties and sector nonlinearities are given.Furthermore,based on the sufficient conditions and the linear matrix inequality(LMI)technique,the problem of designing event-triggered robust guaranteed cost controller is transformed into a feasible solution problem of LMI.Finally,a numerical example is given to demonstrate that,under the proposed event-triggered robust guaranteed cost control,the closed-loop system is asymptotically stable and fewer communication resources are occupied.

基于Event-B与ADT的TACS形式化开发方法与验证

为克服Event-B方法在开发全新一代列车自主运行控制系统(Train Autonomous Circumambulate System,TACS)中所出现的建模复杂性问题,提出将抽象数据类型(Abstract Data Types,ADT)实例化与Event-B相结合的方法,对TACS进行形式化开发和验证。首先,根据TACS的需求以及案例研究等相关内容,提取TACS的功能需求和安全需求,并将功能需求和安全需求以非形式化的语言进行描述;然后,根据TACS的功能需求和安全需求进行模型精化层次的设计,避免因在抽象模型中建模复杂的需求而导致证明困难;最后,在模型中使用形式化语言Event-B对TACS的功能需求和安全需求进行建模并验证其正确性,且在建模过程中,利用ADT的抽象概念将轨道网络、轨道区域以及移动授权(Movement Authority,MA)等复杂系统组件在初始模型中指定组件的必要属性,且在后续系统建模过程必要的精化阶段引入组件的具体定义,以降低系统开发和证明的复杂度。结果表明:提出的方法有助于在早期开发阶段减少TACS中复杂的细节部分,使得证明义务成功率为100%,自动证明成功率占比83%,手动证明成功率仅占比仅17%,在简化证明义务的同时有效提高了自动化证明的占比。

重组人生长激素临床应用的安全性思考

重组人生长激素(recombinant human growth hormone,rhGH)是改善身材矮小的有效治疗药物,目前rhGH可应用于包含生长激素缺乏症在内的多种原因导致的身材矮小,临床应用的扩展使其安全性问题备受关注。基于现有证据,当rhGH规范应用于生理性替代治疗时,其安全性较好。临床中,应用rhGH进行治疗期间可结合文献证据和临床经验重点关注短期安全性,长期安全性由于rhGH治疗时间不足尚无准确定论。该文梳理了在rhGH治疗过程中有可能出现的不良事件及其风险控制措施,旨在帮助临床医生了解rhGH治疗的整体安全性,改善临床规范化应用。

Event-Triggered Sliding Mode Control for Trajectory Tracking of Nonlinear Systems

In this paper, an event-triggered sliding mode control approach for trajectory tracking problem of nonlinear input affine system with disturbance has been proposed. A second order robotic manipulator system has been modeled into a general nonlinear input affine system. Initially, the global asymptotic stability is ensured with conventional periodic sampling approach for reference trajectory tracking. Then the proposed approach of event-triggered sliding mode control is discussed which guarantees semi-global uniform ultimate boundedness. The proposed control approach guarantees non-accumulation of control updates ensuring lower bounds on inter-event triggering instants avoiding Zeno behavior in presence of the disturbance. The system shows better performance in terms of reduced control updates, ensures system stability which further guarantees optimization of resource usage and cost. The simulation results are provided for validation of proposed methodology for tracking problem by a robotic manipulator. The number of aperiodic control updates is found to be approximately 44% and 61% in the presence of constant and time-varying disturbances respectively.

Implementation of Hierarchical and Distributed Control for Discrete Event Robotic Manufacturing Systems

The large scale and complex manufacturing systems have a hierarchical structure where a system is composed several lines with some stations and each station also have several machines and so on. In such a hierarchical structure, the controllers are geographically distributed according to their physical structure. So it is desirable to realize the hierarchical and distributed control. In this paper, a methodology is presented using Petri nets for hierarchical and distributed control. The Petri net representation of discrete event manufacturing processes is decomposed and distributed into the machine controllers, which are coordinated through communication between the coordinator and machine controllers so that the decomposed transitions fire at the same time. Implementation of a hierarchical and distributed control system is described for an example robotic manufacturing system. The demonstrations show that the proposed system can be used as an effective tool for consistent modeling and control of large and complex manufacturing systems.

Supervisory Control of Fuzzy Discrete Event Systems Based on Agent

FDES(fuzzy discrete event systems) can effectively represent a kind of complicated systems involving deterministic uncertainties and vagueness as well as human subjective observation and judgement from the view of discrete events, here the information system is divided into some independent intelligent entitative Agents. The concept of information processing state based on Agents was proposed. The processing state of Agent can be judged by some assistant observation parameters about the Agent and its environment around, and the transition among these states can be represented by FDES based on rules. In order to ensure the harmony of the Agents for information processing, its upstream and downstream buffers are considered in the modeling of the Agent system, and the supervisory controller based on FDES is constructed. The processing state of Agent can be adjusted by the supervisory controller to improve the stability of the system and the efficiency of resource utilization during the process according to the control policies. The result of its application was provided to illustrate the validity of the supervisory adjustment.

Event-triggered sampling and fault-tolerant control co-design based on fault diagnosis observer

A co-design scheme of event-triggered sampling mechanism and active fault tolerant control(FTC) is developed. Firstly,a fault diagnosis observer is designed to estimate both the fault and the state simultaneously by using the event-triggered sampled output. Some H∞constraints between the estimation errors and the event-triggered sampling mechanism are established to ensure the estimation accuracy. Then, based on the constraints and the obtained fault information, an event-triggered detector and a static fault tolerant controller are co-designed to guarantee the stability of the faulty system and to reduce the sensor communication cost.Furthermore, the problem of the event detector and dynamic FTC co-design is also investigated. Simulation results of an unstable batch reactor are finally provided to illustrate the effectiveness of the proposed method.

根因分析法3C护理对消毒供应中心护理质控成效的影响

目的探讨消毒供应中心在开展护理管理过程中运用根因分析法3C护理模式对降低护理缺陷事件发生率以及质控成效的影响。方法福建省立医院消毒供应中心2022年6月1日开始运用根因分析法进行3C护理,分析实施前后各1年(2021年6月—2023年6月)消毒供应中心护理管理工作质量。结果评估实施前后各护理管理质量,实施后环境管理(93.01±3.11)分、安全管理(94.15±1.86)分、物品管理(92.11±1.86)分、检查管理(93.46±1.58)分,均明显高于管理前的(82.14±2.34)分、(81.45±1.86)分、(83.45±1.45)分、(80.05±2.34)分(P<0.05)。随机抽选两观察时间段患者500例,实施后护理缺陷事件发生率为0.20%,低于实施前的5.00%(P<0.05)。实施后院内感染率为1.00%,低于实施前的9.40%(P<0.05)。实施后对消毒供应中心护理工作满意度为98.00%,高于实施前的92.00%(P<0.05)。结论消毒供应中心在开展日常护理管理过程中将根因分析法3C护理进行运用,可以降低护理缺陷事件发生率,提升质量控制效果,对于提升消毒供应中心护理工作质量有重要作用。

基于动态事件触发的微电网分布式协调控制策略

在孤岛交流微电网电压和频率的协调控制中,存在着依赖周期通信、通信负担大等问题.为此,提出了一种基于动态事件触发的分布式协调控制策略,在微电网中运用多智能体系统理论,将频率和电压作为追踪同步目标.通过评估事件触发条件,从根本上摆脱了分布式电源DGs的连续通信和Zeno行为.并引入与系统偏差和反馈有关的动态变量,合理调整触发阈值和反馈增益.此方案提高了通信效率,降低了控制更新频率,保持了良好的控制性能.并且在Matlab/Simulink环境中验证了所设计控制策略的正确性和有效性.

拦截机动目标的固定时间事件触发协同制导律

针对无向通信拓扑结构下的多枚导弹考虑角度约束同时攻击机动目标的问题,提出一种事件触发控制下的固定时间收敛分布式多弹协同制导律.首先,建立导弹-目标相对运动学模型,在视线坐标系下解耦为沿视线和垂直视线两个方向.其次,在视线切向考虑时间约束,提出一种基于事件触发机制的固定时间收敛协同制导律,保证攻击时间的一致性;在视线法向上考虑空间角度约束,提出一种基于固定时间收敛理论的分布式空间协同制导律,使视线角和视线角速率快速收敛到期望值,以满足脱靶量和终端角度约束;同时,针对目标机动引起的系统扰动,采用固定时间收敛的观测器进行在线估计与补偿.利用Lyapunov理论,证明了所提出协同制导律的稳定性.最后,通过数学仿真,验证了所提出的协同制导律的有效性.

基于事件触发的高阶切换非线性系统的有限时间动态面跟踪控制

针对一类高阶切换非线性系统,研究了基于事件触发的自适应跟踪控制问题.首先,利用模糊逻辑系统近似系统中的不确定非线性函数.通过引入有限时间收敛的一阶滤波器,解决了由虚拟控制器重复求导所导致的计算复杂度问题.利用backstepping控制技术和公共李雅普诺夫函数方法,提出了一种自适应模糊有限时间动态面控制算法.所提出的控制方案可以保证闭环系统的所有信号在有限时间内实现有界并且跟踪误差在有限时间内收敛到原点的一个小邻域内.最后,数值例子说明了所提出控制策略的有效性.