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International Conference on control, Automation, Robotics and Vision

作者： Yang Tang Zhen Li Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai 200237 PR China School of Information Science and Technology Donghua University Shanghai 201620 PR China

ISBN: (纸本)9781509035502

In this brief, a novel impulsive control has been proposed for consensus problems of discrete-time multi-agent systems. Utilizing the Lyapunov technique, a parametric discrete-time Riccati equation has been obtained in order to design impulsive controller. The derived criteria show that such impulsive control relies on the proper value of designed parameters and the upper bound of impulsive intervals. Finally, the applicability of proposed strategy is given through a numerical example.

关键词： Impulsiveness discrete-time Multi-agent systems Riccati equations numerical example

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Design of Real-Time Document control Based on Zigbee and Surface Electromyography (sEMG)

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Engineering（科研） 2013年第10期5卷 166-170页

作者： Zhen Wang Bei Wang Xingyu Wang Department of Automation School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 China Key Laboratory of Advanced Control and Optimization for Chemical Processes(East China University of Science and Technology) Ministry of Education Shanghai 200237 China

The human-computer interaction (HCI) is now playing a great role in computer technology. This study introduces an automatic document control technique which is based on the human hand waving movements. The recognition of hand movement is realized according to the surface electromyography (sEMG). A collector is set on the forearm. The sEMG signal is recorded and conveyed to a PC terminal by using wireless Zigbee. An automatic algorithm is developed in order to extract the characteristics of sEMG, recognize the waving movements, and transmit to document control command. The developed human-computer interaction technique can be used as a new gallery for teaching, as well as an assistant tool for disabled person.

关键词： Surface Electromyography Human-Computer Interaction Zigbee Document control

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Co-simulation research of autonomous landing control system

Co-simulation research of autonomous landing control system

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Chinese control Conference (CCC)

作者： Zhaoning Wang Shengxi Wu Xiangming Dun Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai Shanghai CN Research Institute of Robotics Shanghai Jiao Tong University Shanghai CN

In this paper, a control simulation of the autonomous landing process of a Vertical Take-Off and Landing (VTVL) Reusable Launch Vehicle (RLV) is proposed and we consider the effects of the inner liquid propellant sloshing, elastic vibration, disturbance force, disturbance torque and other complex conditions in the virtual RLV model. On the basis of dynamics modeling of the RLV, we analyzed RLV's landing process. The landing control system was designed under certain conditions. Co-simulation Research was achieved by ADAMS and MATLAB/Simulink. The simulation results show that the control system performs well.

关键词： Force control systems Data models Mathematical model Attitude control Angular velocity Equations

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A Novel Improved Grey Wolf optimization Algorithm for Numerical optimization and PID controller Design

A Novel Improved Grey Wolf Optimization Algorithm for Numeri...

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Data Driven control and Learning Systems (DDCLS)

作者： Tao Zhang Xin Wang Zhenlei Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Center of Electrical & Electronic Technology Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781538626191

The grey wolf optimization (GWO) algorithm, one of the recently proposed bio-inspired algorithms, simulates the leadership hierarchy and hunting mechanism of grey wolves in nature. The GWO has a good performance in some optimization tasks, but its search capacity decreases with the increasing search scope and dimension. This paper proposes an improved GWO (IGWO) algorithm, in which Levy flight strategy and a sine cosine operator with adaptive step are incorporated to significantly improve the performance of the algorithm. The Levy flight strategy is used to strengthen the efficiency of global search. The adaptive sine cosine operator is introduced to improve the local search ability. Experimental results based on twenty unconstrained benchmark problems show the superiority of the proposed IGWO. Furthermore, the IGWO is utilized in PID controller design. The comparison results show that the IGWO algorithm is better than, or at least comparable to, other well-established swarm intelligence algorithms.

关键词： optimization Power system stability Sociology Statistics Prediction algorithms Particle swarm optimization Genetic algorithms

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Initial-Parameter-Criterion based Gaussian Mixture Model Monitoring Method for Non-Gaussian Process

Initial-Parameter-Criterion based Gaussian Mixture Model Mon...

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第37届中国控制会议

作者： Ying Tian Wenli Du Shanghai Key Lab of Modern Optical System School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

Gaussian mixture model(GMM) monitoring method is commonly used for non-Gaussian process monitoring. In GMM monitoring method, the final number of Gaussian components and the statistical distribution parameters are estimated through the improved Figueiredo-Jain(F-J) algorithm in the modeling phase. However, the data dimensionality of modern industry is high, the number of initial Gaussian components is large for the accuracy of the algorithm. Under this condition, the relative small number of samplings makes the denominator in the weight estimation formula of the improved F-J algorithm become zero and the algorithm suspends. To make the algorithm work well in an acceptable modeling time, we deduce the Initial-ParameterCriterion among initial Gaussian components, data dimension, sampling number and propose the Initial-Parameter-Criterion based GMM(IPC-GMM) monitoring method. The proposed monitoring method is used for TE process monitoring, simulation results reveal the effectiveness and necessity of IPC-GMM monitoring method.

关键词： non-Gaussian process monitoring Gaussian mixture model Initial-Parameter-Criterion

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Numerical Simulation of the Gas and Solid Hydrodynamic Behaviors in a Pilot-plant Scale Ethylene Polymerization Fluidized-bed Reactor

Numerical Simulation of the Gas and Solid Hydrodynamic Behav...

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Asian Polyolefin Workshop (APO2013)2013亚洲聚烯烃研讨会

作者： Yu Che Zhou Tian Boping Liu State Key Laboratory of Chemical Engineering East China University of Science and Technology Meilong Road 130 Shanghai 200237 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 P.R.China

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An improved multi-stage nonlinear model predictive control with application to semi-batch polymerization

An improved multi-stage nonlinear model predictive control w...

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Asian control Conference

作者： Jinggao Sun Wuyue Yuan Rui Xue Mengling Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai China School of Information Science and Engineering East China University of Science and Technology Shanghai China

ISBN: (纸本)9781728102634

Nonlinear model predictive control (NMPC) has been widely applied in the chemical industry for its performance of dealing with the multiple input multiple output problem (MIMO) and handling constraints. However, the performance of NMPC would be affected by the accuracy of the model. The NMPC controller has to be robust to uncertainties in the model. In this paper, the scenario-tree based on multi-stage NMPC approach has been applied to the semi-batch polymerization reactor. In this approach, in order to ensure the reasonableness of the uncertain variables and scenario tree number, a Monte Carlo-based second-order nonlinear model and K-means cluster algorithm have been proposed. The weights of each scenario branches are also considered into variable. The simulation results show that the performance of the improved method is better and the variable weights has a good ability of improving the performance of controller.

关键词： Uncertainty optimization Polymers Inductors Process control Monte Carlo methods chemicals

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Robust Exponential Stability and L2-Gain Analysis for Uncertain Switched Nonlinear Cascaded Systems with Time-Varying Delay

Robust Exponential Stability and L2-Gain Analysis for Uncert...

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第35届中国控制会议

作者： Qian Yang Huaicheng Yan Hao Zhang Wen Yang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education School of information Science and Engineering East China University of Science and Technology

ISBN: (纸本)9781509009107

The robust exponential stability and L-gain analysis of the uncertain switched nonlinear cascade systems with time varying delay are considered in this ***,a sufficient condition for robustly exponential stability is studied by using the average dwell-time method,piecewise Lyapunov function and free weighting matrix approach,and then the L-gain of the uncertain switched nonlinear cascaded systems with the external disturbance is ***,the switching law and the average dwell-time are ***,a numerical example is provided to illustrate the effectiveness of the proposed results.

关键词： Robust exponential stability L2-gain nonlinear cascade system average dwell-time time-varying delay

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Self-triggered consensus control for multi-agent systems

Self-triggered consensus control for multi-agent systems

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International Conference on Information and Automation (ICIA)

作者： Yanchao Shen Huaicheng Yan Gang Feng Hao Zhang Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China Department of Mechanical and Biomedical Engineering City University of Hong Kong Kowloon Hong Kong

ISBN: (纸本)9781479913329;9781479940998

In this paper, self-triggered consensus control problem is investigated for a class of multi-agent systems. Each agent computes its next update time instance at the predefined time. This control strategy extends substantially the existing work on event-triggered control, because in the self-triggered deployment the agents have no need to maintain the track of the state error that triggers the actuation between continuous update instants. A distributed self-triggered control procedure is presented for a special first-order multi-agents and is shown to achieve the rendezvous objective. The effectiveness of the proposed control method is illustrated by a numerical example.

关键词： Multi-agent systems Measurement errors Decentralized control Laplace equations Educational institutions Topology

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Discrete-phase-randomized measurement-device-independent quantum key distribution

arXiv

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arXiv 2020年

作者： Cao, Zhu Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China

Measurement-device-independent quantum key distribution removes all detector-side attacks in quantum cryptography, and in the meantime doubles the secure distance. The source side, however, is still vulnerable to various attacks. In particular, the continuous phase randomization assumption on the source side is normally not fulfilled in experimental implementation and may potentially open a loophole. In this work, we first show that indeed there are loopholes for imperfect phase randomization in measurement-device-independent quantum key distribution by providing a concrete attack. Then we propose a discrete-phase-randomized measurement-device-independent quantum key distribution protocol as a solution to close this source-side loophole. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum cryptography

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