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Oil–water two-phase flow pattern analysis with ERT based measurement and multivariate maximum Lyapunov exponent

Journal of Central South University 2016年第1期23卷 240-248页

作者：谭超王娜娜董峰 Tianjin Key Laboratory of Process Measurement and Control (School of Electrical Engineering and Automation Tianjin University)

Oil–water two-phase flow patterns in a horizontal pipe are analyzed with a 16-electrode electrical resistance tomography(ERT) system. The measurement data of the ERT are treated as a multivariate time-series, thus the information extracted from each electrode represents the local phase distribution and fraction change at that location. The multivariate maximum Lyapunov exponent(MMLE) is extracted from the 16-dimension time-series to demonstrate the change of flow pattern versus the superficial velocity ratio of oil to water. The correlation dimension of the multivariate time-series is further introduced to jointly characterize and finally separate the flow patterns with MMLE. The change of flow patterns with superficial oil velocity at different water superficial velocities is studied with MMLE and correlation dimension, respectively, and the flow pattern transition can also be characterized with these two features. The proposed MMLE and correlation dimension map could effectively separate the flow patterns, thus is an effective tool for flow pattern identification and transition analysis.

关键词： oil-water two-phase flow flow patterns electrical resistance tomography （ERT） multivariate time-series multivariate maximum Lyapunov exponent correlation dimension

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Observer-based Cooperative Adaptive Cruise control of Vehicular Platoons with Random Network Access

Observer-based Cooperative Adaptive Cruise Control of Vehicu...

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2018 IEEE Intelligent Vehicles Symposium, IV 2018

作者： Wu, Ligang Wen, Shixi Guo, Ge He, Yiwen Zhou, Qian Lu, Zibao College of Mechanical and Electrical Engineering Shanxi Datong University Datong037009 China School of Information and Engineering Dalian University Dalian116622 China State Key Laboratory of Synthetical Automation for Industrial Process Northeastern University Shenyang110004 China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao066004 China College of Music Dalian University Dalian116622 China College of Business Shanxi Datong University Datong037009 China College of Physics and Electronic Information Anhui Normal University Wuhu241000 China

ISBN: (纸本)9781538644522

This paper investigates cooperative adaptive cruise control (CACC) of vehicles, focusing on the effect of medium access control (MAC) protocol and the inaccurate acceleration measurement. A Markov chain is used to describe the randomness in vehicular network access under a MAC protocol;a reduced-order observer is proposed to estimate the relative acceleration of neighboring vehicles. Based on stochastic system techniques, a series of sufficient conditions are given in the form of backward recursive Riccati Difference Equations (RDE) to guarantee the stable tracking error. Numerical simulations are given to verify the effectiveness of the proposed approach. © 2018 IEEE.

关键词： Stochastic systems

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Interdependent order allocation in the two-echelon supply chain using agent-based negotiation 36

Interdependent order allocation in the two-echelon supply ch...

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第36届中国控制会议

作者： Jian Wang Huimin Miao System Engineering Institute School of AutomationHuazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Hubei Province Key Laboratory of Systems Science in Metallurgical Process Wuhan University of Science and Technology

ISBN: (纸本)9781538629185

Nowadays,many researches study the negotiation-based order allocation problem in the supply chain environment,aiming to improve the efficiency of the allocation and the profits of the supply chain *** competition and cooperation in supplier’s side are mainly addressed because of independent *** this paper,we analyze an interdependent order allocation problem in a two-echelon supply *** supply chain consists of a manufacturer echelon and a supplier *** to the interdependence,both the competition and cooperation in the manufacturer echelon are *** agent-based negotiation algorithm is developed to support the order allocation process and the conflicts *** show in experiments that orders under various supply chain contexts can be successfully allocated through the algorithm.

关键词： Supply chain system order allocation agent-based negotiation

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controllability of Heterogeneous Directed Networked MIMO Systems

arXiv

引用

arXiv 2018年

作者： Xiang, Linying Wang, Peiru Chen, Fei Chen, Guanrong School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao066004 China Department of Automation Xiamen University Xiamen361005 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110004 China Department of Electronic Engineering City University of Hong Kong 83 Tat Chee Avenue Kowloon Hong Kong

This paper studies the controllability of networked multi-input-multi-output (MIMO) systems, in which the network topology is weighted and directed, and the nodes are heterogeneous higher-dimensional linear time-invariant (LTI) dynamical systems. The primary objective is to search for controllability criteria beyond those already known for homogeneous networks. The focus is on the effects of the network topology, node dynamics, external control inputs, as well as the inner interactions on the network controllability. It is found that a network of heterogeneous systems can be controllable even if the corresponding homogeneous network topology is uncontrollable. The finding thus unravels another fundamental property that affects the network controllability—the heterogeneity of the node dynamics. A necessary and sufficient condition is derived for the controllability of heterogeneous networked MIMO LTI systems. For some typical cases, necessary and/or sufficient controllability conditions are specified and presented on the node dynamics, inner interactions, as well as the network *** Codes 93B05 Copyright © 2018, The Authors. All rights reserved.

关键词： Directed graphs

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Distributed Least Squares Solver for Network Linear Equations

arXiv

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arXiv 2018年

作者： Yang, Tao George, Jemin Qin, Jiahu Yi, Xinlei Wu, Junfeng State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China U.S. Army Research Laboratory AdelphiMD20783 United States Department of Automation University of Science and Technology of China Hefei230027 China Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm100 44 Sweden College of Control Science and Engineering Zhejiang University Hangzhou310027 China

In this paper, we study the problem of finding the least square solutions of over-determined linear algebraic equations over networks in a distributed manner. Each node has access to one of the linear equations and holds a dynamic state. We first propose a distributed least square solver over connected undirected interaction graphs and establish a necessary and sufficient on the step-size under which the algorithm exponentially converges to the least square solution. Next, we develop a distributed least square solver over strongly connected directed graphs and show that the proposed algorithm exponentially converges to the least square solution provided the step-size is sufficiently small. Moreover, we develop a finite-time least square solver by equipping the proposed algorithms with a finite-time decentralized computation mechanism. The theoretical findings are validated and illustrated by numerical simulation examples. Copyright © 2018, The Authors. All rights reserved.

关键词： Linear equations

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A continuous-time formulation for refinery production scheduling problems involving operational transitions in mode switching

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Chinese Journal of Chemical engineering 2016年第8期24卷 1020-1031页

作者： Lei Shi Yongheng Jiang Ling Wang Dexian Huang Institute of Process Control Engineering Department of Automation Tsinghua University Tsinghua National Laboratory for Information Science and Technology Tsinghua University

In the refinery scheduling, operational transitions in mode switching are of great significance to formulate dynamic nature of production and obtain efficient schedules. The discrete-time formulation meets two main challenges in modeling: discrete approximation of time and large size of mixed-integer linear problem(MILP).In this article, a continuous-time refinery scheduling model, which involves transitions of mode switching, is presented due to these challenges. To reduce the difficulty in solving large scale MILPs resulting from the sequencing constraints, the global event-based formulation is chosen. Both transition constraints and production transitions are introduced and the numbers of key variables and constraints in both of the discrete-time and continuous-time formulations are analyzed and compared. Three cases with different lengths of time horizons and different numbers of orders are studied to show the efficiency of the proposed model.

关键词： Refinery scheduling Operational transitions Continuous-time representation

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Human intention estimation based on hidden Markov model motion validation for safe flexible robotized warehouses

arXiv

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arXiv 2018年

作者： Petković, Tomislav Puljiz, David Marković, Ivan Hein, Björn University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering Laboratory for Autonomous Systems and Mobile Robotics Unska 3 ZagrebHR-10000 Croatia Karlsruhe Institute of Technology Institute for Anthropomatics and Robotics Intelligent Process Automation and Robotics Lab Kaiserstraße 12 Deutschland KarlsruheDE-76131

With the substantial growth of logistics businesses the need for larger warehouses and their automation arises, thus using robots as assistants to human workers is becoming a priority. In order to operate efficiently and safely, robot assistants or the supervising system should recognize human intentions in real-time. Theory of mind (ToM) is an intuitive human conception of other humans' mental state, i.e., beliefs and desires, and how they cause behavior. In this paper we propose a ToM based human intention estimation algorithm for flexible robotized warehouses. We observe human's, i.e., worker's motion and validate it with respect to the goal locations using generalized Voronoi diagram based path planning. These observations are then processed by the proposed hidden Markov model framework which estimates worker intentions in an online manner, capable of handling changing environments. To test the proposed intention estimation we ran experiments in a real-world laboratory warehouse with a worker wearing Microsoft Hololens augmented reality glasses. Furthermore, in order to demonstrate the scalability of the approach to larger warehouses, we propose to use virtual reality digital warehouse twins in order to realistically simulate worker behavior. We conducted intention estimation experiments in the larger warehouse digital twin with up to 24 running robots. We demonstrate that the proposed framework estimates warehouse worker intentions precisely and in the end we discuss the experimental results. Copyright © 2018, The Authors. All rights reserved.

关键词： Virtual reality

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Corrigendum to “Event-triggered H ∞ filtering control for a class of distributed parameter systems with Markovian switching topology”

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Journal of the Franklin Institute 2019年第8期356卷 4747-4747页

作者： Huihui Ji He Zhang Baotong Cui Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi 214122 China School of IoT Engineering Jiangnan University Wuxi 214122 China School of Automation Nanjing University of Science and Technology Nanjing 210094 China

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Hybrid Consensus-based Algorithm for Distributed Economic Dispatch Problem

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IFAC-PapersOnLine 2017年第1期50卷 177-182页

作者： Liu X.-K. Wang Y.-W. Yan H. Wang X. Hu X. School of Automation Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control (Huazhong University of Science and Technology) Ministry of Education China Key Laboratory of Advanced Control Optimization for Chemical Process of Ministry of Education China School of Information Science and Engineering East China University of Science and Technology 130 Meilong Road Shanghai 200237 China

Economic dispatch is one of the fundamental problems in the power system research. The existing algorithms are either discrete iterative algorithms or continuous-time dynamical algorithms. By virtue of the hybrid techniques, a hybrid consensus-based algorithm is proposed in this paper, which consists of a finite-time continuous-time algorithm and a discrete-time interacted scheme. Moreover, inspired by the cluster synchronization and the benefit of the projection operator, a supervised strategy is carried out to ensure that each generator unit will work within its power generation constraint. For a better understanding of the supervised hybrid distributed algorithm, the detailed pseudo-code is presented. Finally, a numerical example is given to illustrate the effectiveness of the algorithm. © 2017

关键词： consensus protocol distributed optimization economic dispatch hybrid system smart grid

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Oil-water two-phase flow velocity measurement with Continuous wave ultrasonic Doppler

引用

Journal of Physics: Conference Series 2018年第9期1065卷

作者： Weiling Liu Chao Tan Feng Dong Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China

Oil-water two-phase flow exists widely in many industries. Accurate measurement of flow velocity is of significance for quantify the volume or mass flow rate as well as monitor the operation safety. A non-intrusive one-side Continuous Wave Ultrasonic Doppler (CWUD) sensor is presented for measuring the overall superficial velocity of oil-water two-phase flow. The one-side CWUD sensor consists of two-chip transducer with resonant frequency of 1MHz, both of which are installed at the bottom of test pipe, and the sample volume cover the whole radial direction of pipe cross-section. The Doppler shift signal collected by ultrasonic sensor is directly related to the average velocity of dispersed phase within the sample volume of CWUD. The overall superficial flow velocity is derived by a linear correction of measured average velocity, based on the analysis of average Doppler shift properties in different flow conditions, i.e. water continuous flow and oil continuous flow. Dynamic experiments were conducted at a horizontal oil-water two-phase flow loop. It can be found that the average Doppler shift within the sample volume increases with overall superficial flow velocity, however, varies with different continuous phases at the same overall superficial flow velocity. The results show that the mean relative error of overall superficial flow velocity is 3.45%.

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