Finite-time adaptive fuzzy control for a class of output constrained nonlinear systems with dead-zone

The article investigates the finite-time adaptive fuzzy control for a class of nonlinear systems with output constraint and input dead-zone. First, by skillfully combining the barrier Lyapunov function, backstepping design method, and finite-time control theory, a novel adaptive state-feedback tracking controller is constructed, and the output constraint of the nonlinear system is not violated. Second, the fuzzy logic system is used to approximate unknown function in the nonlinear system. Third, the finite-time command filter is introduced to avoid the problem of “complexity explosion” caused by repeated differentiations of the virtual control signal in conventional backstepping control schemes. Meanwhile, a new saturation function is added in the compensating signal for filter error to improve control accuracy. Finally, based on Lyapunov stability analysis, all the signals of the closed-loop are proved to be semi-globally uniformly ultimately bounded, and the tracking error converges to a small neighborhood region of the origin in a finite time. A simulation example is presented to demonstrate the effectiveness for the proposed control scheme.     

Multimodal sensing and active continuous closed‐loop feedback for achieving reliable manipulation in the outdoor physical world

The use of field robots can greatly decrease the amount of time, effort, and associated risk compared to if human workers were to carryout certain tasks such as disaster response. However, transportability and reliability remain two main issues for most current robot systems. To address the issue of transportability, we have developed a lightweight modularizable platform named AeroArm. To address the issue of reliability, we utilize a multimodal sensing approach, combining the use of multiple sensors and sensor types, and the use of different detection algorithms, as well as active continuous closed‐loop feedback to accurately estimate the state of the robot with respect to the environment. We used Challenge 2 of the 2017 Mohammed Bin Zayed International Robotics Competition as an example outdoor manipulation task, demonstrating the capabilities of our robot system and approach in achieving reliable performance in the fields, and ranked fifth place internationally in the competition.     

共网数字集群系统应用问题的研究

现今国内的数字集群网络发展存在局限性、差异性，还远没有达到“网”状分布的程度，因此，共网数字集群发展空间巨大、前景广阔。通过列举共网数字集群系统在龙嘉国际机场和长春雷锋车队的成功应用案例，探讨了我国共网数字集群系统应用的可行性和必要性。     

辽河防洪应急工程中的加筋粉细砂筑坝技术

加筋粉细砂筑坝是一门新兴技术,通过在辽河防洪应急工程右岸李家堡段应用表明,该项技术在技术上是可行的、在经济上是合理的。本文介绍了该技术在辽河防洪应急工程右岸李家堡段的应用。     

水库突发事件应急预案研究现状与关键技术初探

水库突发事件应急预案是大坝风险管理中非常重要的一个环节,是降低水库大坝风险的非工程措施.本文总结了国内水库突发事件应急预案的研究现状,并结合我国实际国情,初步提出了开展应急预案的关键技术,供大坝安全管理及科研人员参考.     

一种新的机器人手臂控制方法

从机器人手臂的关节电机力学出发，本文提出了一种独立于现行机器人关节控制器的离线补偿方法，通过对－２自由度机器人的数值研究，证明该法不仅能有效地克服由于惯性负载，关节间耦合与重力效应给控制系统带来的动态精度问题，而且还可以消除由于控制系统本身的固有特性所决定的系统的跟踪误差。     

Neuronet Data Processing on the State of an Object After an Emergency

Neuronets are considered for processing data on the state of a potentially hazardous object after an emergency. An example is given of processing the data on the state of a potentially hazardous object in increments.Translated from Izmeritel’naya Tekhnika, No. 3, pp. 6–8, March, 2005.     

武钢 10000 m3/h制氧机主冷泄漏故障处理及应急保产方式

氧气生产单位保用户用气一旦出现较为紧张的局面时，如何正确处理保安全生产运行、保用户生产、安排抢修时间三者之间的关系，值得关注与研究。     

我国突发性水资源污染事故应急机制的若干问题评述

基于突发性水资源污染事故应急处理现状的分析,对目前我国突发性水资源污染事故防范和应急机制的建立进行探讨,指出当前工作中的三大缺陷,并有针对性地提出如何加快防范突发性水资源污染事故以及建立相关应急机制的进程的若干措施,包括突发污染事故的隐患调查、脆弱性评价、水质预报、动态监测以及应急组织机构等方面,以期能为我国减少突发性水资源污染事故及其损失提供一定的理论分析依据。     

高层民用建筑安全疏散及应急对策

文章从高层建筑的火灾特点出发,分析了高层民用建筑安全疏散的重要性和必要性,并结合高层民用建筑安全疏散通道因素存在的问题提出了若干对策,以求更好地满足现代高层建筑对消防安全的需要.