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Tonggang SHEN, Hanchang SHI, Huiming SHI, He JING, Huilei XIONG
《环境科学与工程前沿(英文)》 2011年 第5卷 第1期 页码 130-139 doi: 10.1007/s11783-010-0266-2
关键词: anaerobic-anoxic-oxic (AAO) feedforward control municipal wastewater nitrogen removal
Yufei YUE, Qianming XU, Peng GUO, An LUO
《能源前沿(英文)》 2019年 第13卷 第1期 页码 16-26 doi: 10.1007/s11708-018-0572-0
关键词: tundish induction heating power supply (TIHPS) constant temperature control input harmonic current blocking load voltage feedforward
Research on the control systems of a precision linear motor drive device
YAN Han, WANG Xian-kui, DUAN Guang-hong
《机械工程前沿(英文)》 2006年 第1卷 第3期 页码 260-264 doi: 10.1007/s11465-006-0036-9
关键词: feedforward tracking ±5 anti-disturbance performance algorithm
Multiscale computation on feedforward neural network and recurrent neural network
Bin LI, Xiaoying ZHUANG
《结构与土木工程前沿(英文)》 2020年 第14卷 第6期 页码 1285-1298 doi: 10.1007/s11709-020-0691-7
关键词: multiscale method constitutive model feedforward neural network recurrent neural network
面向CPG驱动的仿生机器鱼容错控制方法 Article
杨越麒, 王健, 吴正兴, 喻俊志
《工程(英文)》 2018年 第4卷 第6期 页码 861-868 doi: 10.1016/j.eng.2018.09.011
容错性能对于自推进仿生机器鱼在实际水下应用中的可操作性和生存能力至关重要。本文探讨了具有多个可活动关节和一个被卡住尾部关节的自由游动机器鱼的容错控制问题。提出的控制系统主要由两个部分组成:反馈控制器和前馈补偿器。具体而言,一方面,设计了基于生物启发中心模式发生器的反馈控制器用于使机器鱼对外部干扰具有鲁棒性;另一方面,引入了基于动力学模型的前馈补偿器来加速整个控制系统的收敛。在此基础上,开展了仿真实验来完成控制系统分析和故障机器鱼游动性能验证。最后,水下实验表明,所提出的容错控制方法能够有效调整故障机器鱼,使其能够在故障情况下完成所需运动,进而提高实际机器鱼系统的稳定性和寿命。
基于深度前馈神经网络的多基地外辐射源雷达高精度目标跟踪 Research Article
徐宝兄,易建新,程丰,龚子平,万显荣
《信息与电子工程前沿(英文)》 2023年 第24卷 第8期 页码 1214-1230 doi: 10.1631/FITEE.2200260
基于可控参数的前馈神经网络出水总氮预测模型研究 Article
赵子豪, 王子昊, 袁家洛, 马骏, 何哲灵, 徐一兰, 沈晓佳, 朱亮
《工程(英文)》 2021年 第7卷 第2期 页码 195-202 doi: 10.1016/j.eng.2020.07.027
当前,出水总氮(TN)稳定达标是我国城镇污水处理厂面临的关键问题。本文基于我国城镇污水处理厂主流工艺——序批式活性污泥工艺(SBR),构建了一种基于可控参数的前馈神经网络(FFNN)出水总氮预测模型。与已有预测模型相比,本模型具备以下两个特点:①采用可控参数(表面气速与缺氧段时长)代替溶解氧作为模型主要输入参数,明显提高模型可用可控性;②采用算法优化的前馈神经网络构建模型,显著提高模型预测精准度。研究结果表明:量化共轭梯度法优化的FFNN模型预测精准,其拟合相关系数(R)明显高于其他相关模型;优化后的FFNN模型可根据进水与关键控制参数实现出水TN精准预测,有望实现城镇污水处理厂总氮稳定去除、系统节能降耗,助力国家“3060”碳目标实现。
关键词: 前馈神经网络(FFNN) 算法 可控参数 序批式活性污泥工艺 总氮
记忆成像 Article
方璐, 季梦奇, 袁肖赟, 贺敬, 张嘉凝, 朱胤恒, 郑添, 刘乐遥, 王滨, 戴琼海
《工程(英文)》 2023年 第25卷 第6期 页码 101-109 doi: 10.1016/j.eng.2021.12.012
Sensing and understanding large-scale dynamic scenes require a high-performance imaging system. Conventional imaging systems pursue higher capability by simply increasing the pixel resolution via stitching cameras at the expense of a bulky system. Moreover, they strictly follow the feedforward pathway: that is, their pixel-level sensing is independent of semantic understanding. Differently, a human visual system owns superiority with both feedforward and feedback pathways: The feedforward pathway extracts object representation (referred to as memory engram) from visual inputs, while, in the feedback pathway, the associated engram is reactivated to generate hypotheses about an object. Inspired by this, we propose a dual-pathway imaging mechanism, called engram-driven videography. We start by abstracting the holistic representation of the scene, which is associated bidirectionally with local details, driven by an instance-level engram. Technically, the entire system works by alternating between the excitation–inhibition and association states. In the former state, pixel-level details become dynamically consolidated or inhibited to strengthen the instance-level engram. In the association state, the spatially and temporally consistent content becomes synthesized driven by its engram for outstanding videography quality of future scenes. The association state serves as the imaging of future scenes by synthesizing spatially and temporally consistent content driven by its engram. Results of extensive simulations and experiments demonstrate that the proposed system revolutionizes the conventional videography paradigm and shows great potential for videography of large-scale scenes with multi-objects.
关键词: Instance-level videography Memory engram Large-scale dynamic scene Feedforward and feedback Entropy equilibrium
WHEAT STRIPE RUST AND INTEGRATION OF SUSTAINABLE CONTROL STRATEGIES IN CHINA
《农业科学与工程前沿(英文)》 2022年 第9卷 第1期 页码 37-51 doi: 10.15302/J-FASE-2021405
Stripe (yellow) rust caused by Puccinia striiformis f. sp. tritici occurs in almost all wheat-producing regions of the world. Severe countrywide epidemics in China have caused substantial yield losses. Growing resistant cultivars is the best strategy to control this disease but the pathogen can overcome resistance in wheat cultivars. The high variation in the virulence of the pathogen combined with the large areas of susceptible wheat cultivars enables the pathogen population to increase rapidly and disperse over long distances under favorable environmental conditions, resulting in severe pandemics within cropping seasons. Current stripe rust control measures are based on many years of research including the underlying epidemiology regarding year-to-year survival of the pathogen, pathways of pathogen dispersal within seasons and years, the role of P. striiformis sexual hybridization, the use of resistance sources in breeding programs, and year-round surveillance of national wheat crops that are present in different parts of the country throughout the year. All these strategies depend on accurate prediction of epidemics, more precise use of fungicides to meet national requirements and better deployment of resistance genes. New ideas with potential application in sustainable protection of stripe rust include negative regulatory gene editing, resistance gene overexpression and biological control based on microbiomes.
关键词: sustainable disease control / integrated control Puccinia striiformis / Triticum aestivum
A systematic review of current and emergent manipulator control approaches
Syed Ali AJWAD,Jamshed IQBAL,Muhammad Imran ULLAH,Adeel MEHMOOD
《机械工程前沿(英文)》 2015年 第10卷 第2期 页码 198-210 doi: 10.1007/s11465-015-0335-0
Pressing demands of productivity and accuracy in today’s robotic applications have highlighted an urge to replace classical control strategies with their modern control counterparts. This recent trend is further justified by the fact that the robotic manipulators have complex nonlinear dynamic structure with uncertain parameters. Highlighting the authors’ research achievements in the domain of manipulator design and control, this paper presents a systematic and comprehensive review of the state-of-the-art control techniques that find enormous potential in controlling manipulators to execute cutting-edge applications. In particular, three kinds of strategies, i.e., intelligent proportional-integral-derivative (PID) scheme, robust control and adaptation based approaches, are reviewed. Future trend in the subject area is commented. Open-source simulators to facilitate controller design are also tabulated. With a comprehensive list of references, it is anticipated that the review will act as a first-hand reference for researchers, engineers and industrial-interns to realize the control laws for multi-degree of freedom (DOF) manipulators.
关键词: robot control robust and nonlinear control adaptive control intelligent control industrial manipulators robotic arm
Emerging contaminant control: From science to action
《环境科学与工程前沿(英文)》 2022年 第16卷 第6期 doi: 10.1007/s11783-022-1559-y
关键词: Emerging contaminants Priority pollutants PPCPs POPs Control policy
《化学科学与工程前沿(英文)》 2022年 第16卷 第2期 页码 237-250 doi: 10.1007/s11705-021-2058-6
关键词: nonlinear model predictive control black-box modeling continuous-time system identification machine learning industrial applications of process control
Precision control system of two-DOF stage with linear ultrasonic motor
ZHANG Hanlei, SHI Yunlai, ZHAO Chunsheng
《机械工程前沿(英文)》 2008年 第3卷 第4期 页码 421-425 doi: 10.1007/s11465-008-0063-9
关键词: settling position accuracy PI control control algorithm orthogonal
A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD
Amir Hossein HEIDARI, Sadegh ETEDALI, Mohamad Reza JAVAHERI-TAFTI
《结构与土木工程前沿(英文)》 2018年 第12卷 第1期 页码 44-57 doi: 10.1007/s11709-016-0382-6
关键词: seismic control tuned mass dampers cuckoo search PID controller LQR controller
《能源前沿(英文)》 2022年 第16卷 第6期 页码 943-955 doi: 10.1007/s11708-021-0793-5
关键词: weak grids voltage source (VS) control wind turbine (WT) stabilization control wind farm inertial response
标题 作者 时间 类型 操作
Feedforward control for nitrogen removal in a pilot-scale anaerobic-anoxic-oxic plant for municipal wastewater
Tonggang SHEN, Hanchang SHI, Huiming SHI, He JING, Huilei XIONG
期刊论文
Constant temperature control of tundish induction heating power supply for metallurgical manufacturing
Yufei YUE, Qianming XU, Peng GUO, An LUO
期刊论文
Research on the control systems of a precision linear motor drive device
YAN Han, WANG Xian-kui, DUAN Guang-hong
期刊论文
Multiscale computation on feedforward neural network and recurrent neural network
Bin LI, Xiaoying ZHUANG
期刊论文
A systematic review of current and emergent manipulator control approaches
Syed Ali AJWAD,Jamshed IQBAL,Muhammad Imran ULLAH,Adeel MEHMOOD
期刊论文
An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system
期刊论文
Precision control system of two-DOF stage with linear ultrasonic motor
ZHANG Hanlei, SHI Yunlai, ZHAO Chunsheng
期刊论文
A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD
Amir Hossein HEIDARI, Sadegh ETEDALI, Mohamad Reza JAVAHERI-TAFTI
期刊论文