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Asian control Conference

作者： Haijuan Zhao Yugang Niu Yuanyuan Zou The Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Key Laboratory of System Control and Information Processing Department of Automation Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781728102634

This paper is concerned with the sliding mode control (SMC) problem for a class of uncertain switched systems subject to partly known sojourn probabilities. The sojourn probability is the probability of a switched system staying in each subsystem, which may be available or unavailable. A key issue is how to design a sliding mode controller to guarantee the stability performance of the reconstructed switched systems subject to the partly known sojourn probabilities. To this end, by using a set of stochastic variables, the switched system model is reconstructed with partly known sojourn probabilities. And then, the sliding mode control law is constructed to ensure the reachability of the designed common sliding surface. Furthermore, the sufficient condition is derived to ensure the mean-square stability of the closed-loop system under the partly unknown sojourn probabilities. Finally, a numerical example is provided to illustrate the proposed method.

关键词： Switched systems Switches Closed loop systems Stability analysis Sliding mode control Trajectory

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Analysis and Evaluation of Individual Performance in Team Task

Analysis and Evaluation of Individual Performance in Team Ta...

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第三十八届中国控制会议

作者： Xi Li A. Mahmood Lin Wang Sien Lin Zhi Yang Xiaofan Wang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Talkingbrain Neuro-Technology Inc

Opinion expression in team task plays an essential role in individual performance evaluation. So this study set out to answer the question: How to evaluate individual performance mostly from interaction standpoint. The goals are twofold: 1. to determine whether the three aspects of communication skills, namely "how to speak", "what to say" and "who to communicate",are effective features for evaluating individual performance;2. to design a methodology evaluating individual performance by computation. For the former, the effectiveness of features in speaking cues, communication patterns and speech content are evaluated based on Team Cooperation Database. As for the latter, the evaluation is implemented utilizing Support Vector Machines with mean accuracy 88% which outperforms other six machine learning models, significantly improving accuracy over the baseline. Experimental results indicate that communication patterns and speaking cues are major factors affecting individual performance. Additionally, it can also be concluded that individuals who speak after listening the opinions of others and share their ideas with teammates widely and fully can gain more acceptance in performance evaluation.

关键词： Team Cooperation Dataset individual performance evaluation communication skills turn-taking network

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Universal enzymatic numerical P systems with small number of enzymatic variables

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Science China(information Sciences) 2018年第9期61卷 38-49页

作者： Zhiqiang ZHANG Tingfang WU ANDrei P■UN Linqiang PAN Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology Department of Computer Science Faculty of Mathematics and Computer ScienceUniversity of Bucharest Bioinformatics Department National Institute of Research and Development for Biological Sciences School of Electric and Information Engineering Zhengzhou University of Light Industry

Numerical P systems(for short, NP systems) are distributed and parallel computing models inspired from the structure of living cells and economics. Enzymatic numerical P systems(for short, ENP systems) are a variant of NP systems, which have been successfully applied in designing and implementing controllers for mobile robots. Since ENP systems were proved to be Turing universal, there has been much work to simplify the universal systems, where the complexity parameters considered are the number of membranes, the degrees of polynomial production functions or the number of variables used in the *** the number of enzymatic variables, which is essential for ENP systems to reach universality, has not been investigated. Here we consider the problem of searching for the smallest number of enzymatic variables needed for universal ENP systems. We prove that for ENP systems as number acceptors working in the all-parallel or one-parallel mode, one enzymatic variable is sufficient to reach universality; while for the one-parallel ENP systems as number generators, two enzymatic variables are sufficient to reach *** results improve the best known results that the numbers of enzymatic variables are 13 and 52 for the all-parallel and one-parallel systems, respectively.

关键词： bio-inspired computing numerical P system mobile robot membrane controller universality

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Correction to: Novel neural adaptive terminal sliding mode control for TCP network systems with arbitrary convergence time

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Neural Computing and Applications 2023年第1期36卷 519-519页

作者： Qi, Xuelei Li, Chen Chen, Bao Ni, Wei Ma, Hongjun College of Information Science and Engineering Northeastern University Shenyang People’s Republic of China Commonwealth Scientific and Industrial Research Organisation (CSIRO) Sydney Australia School of Automation Science and Engineering South China University of Technology Guangzhou People’s Republic of China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Unmanned Aerial Vehicle Systems Engineering Technology Research Center of Guangdong Guangzhou People’s Republic of China

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Inverse-system method for identification of damping-rate functions in non-Markovian quantum systems

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Physical Review A 2020年第4期102卷 042227-042227页

作者： Shibei Xue Lingyu Tan Rebing Wu Min Jiang Ian R. Petersen Department of Automation Shanghai Jiao Tong University Shanghai 200240 People's Republic of China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 People's Republic of China Department of Automation Tsinghua University Beijing 100084 People's Republic of China Center for Quantum Information Science and Technology TNList Beijing 100084 People's Republic of China School of Electronic and Information Engineering Soochow University Suzhou 215006 People's Republic of China Research School of Electrical Energy and Materials Engineering The Australian National University Canberra 0200 Australia

Identification of complicated quantum environments lies in the core of quantum engineering, which systematically constructs an environment model with the aim of accurate control of quantum systems. In this paper, we present an inverse-system method to identify damping rate functions, which describe non-Markovian environments in time-convolution-less master equations. To access information on the environment, we couple a finite-level quantum system to the environment and measure time traces of local observables of the system. By using sufficient measurement results, an algorithm is designed, which can simultaneously estimate multiple damping rate functions for different dissipative channels. Further, we show that identifiability for the damping rate functions corresponds to the invertibility of the system and a necessary condition for identifiability is also given. The effectiveness of our method is shown in examples of an atom and three-spin-chain non-Markovian systems.

关键词： Open quantum systems Quantum control

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A Forest Fire Detection Method Based on a Deep Learning Approach

A Forest Fire Detection Method Based on a Deep Learning Appr...

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第30届中国过程控制会议（CPCC 2019）

作者： Honggang Yu Zhentian Jiao Youmin Zhang Jing Xin Lingxia Mu Shangbin Jiao Han Liu Ding Liu Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Department of Mechanical Industrial and Aerospace Engineering Concordia University

Forest fire detection has great practical significance in actual production and ***, many current solutions are still not reliable in practice and usually affected by many *** paper presents a forest fire detection method based on deep learning approach using aerial images taken by Unmanned Aerial Vehicles(UAVs).We train a full image fire classifier by exploiting YOLOv3, a latest fast and accurate real-time object detection algorithm using deep learning neural ***, the feature map of a certain size is obtained by feature extraction network, such as 13×*** the input image is divided into 13×13 grid ***, if the central coordinate of an object in the ground truth falls in a grid cell, the grid cell will predict the object, because each grid cell will predict a fixed number of bounding *** the largest bounding box with ground truth IOU(Intersection Over Union) is used to predict *** fire patch detector developed in this paper obtains 91% mAP(mean Average Precision) on the data sets used and the FPS(Frames Per Second) average can reach 80.

关键词： Forest fire detection YOLOv3 deep learning Unmanned Aerial Vehicle(UAV)

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Opacity of Nondeterministic Transition Systems: A (Bi)Simulation Relation Approach

Opacity of Nondeterministic Transition Systems: A (Bi)Simula...

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作者： Zhang, Kuize Yin, Xiang Zamani, Majid ACCESS Linnaeus Center School of Electrical Engineering KTH Royal Institute of Technology Stockholm10044 Sweden Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai200240 China Computer Science Department University of Colorado Boulder BoulderCO80309 United States

In this paper, we propose several opacity-preserving (bi)simulation relations for nondeterministic transition systems (NTSs) in terms of initial-state opacity, current-state opacity, K-step opacity, and infinite-step opacity. We also show how one can leverage quotient constructions to compute such relations. As a result, although the opacity verification problem for infinite NTSs is generally undecidable, if one can find such an opacity-preserving relation from an infinite NTS to a finite one, the (lack of) opacity of the infinite NTS can be easily verified over the finite one, which is decidable. © 1963-2012 IEEE.

关键词： Opacity

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Scalable Robust Spectral Ensemble Clustering

Scalable Robust Spectral Ensemble Clustering

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第三十八届中国控制会议

作者： Yinian Liang Zhigang Ren Zongze Wu Deyu Zeng Jianzhong Li School of Automation and Guangdong Key Laboratory of Io T Information Technology Guangdong University of Technology Key Laboratory of Industrial Internet of Things & Networked Control Ministry of Education Chongqing University of Posts and Telecommunications

Many ensemble clustering algorithms usually can work well on small-scale datasets, but the same expected results can not be achieved on large-scale datasets as well as time-consuming. Therefore, it is very important to implement an efficient clustering ensemble algorithm with high scalability to deal with these specific datasets. In this paper, we propose a scalable clustering approach based on the framework of the robust spectral ensemble clustering(RSEC), named as SRSEC to cluster the datasets of different sizes. A robust and denoising representation for the co-association matrix not only can be learned through a low-rank constraint in a unified optimization framework, but also a subspace selection on the co-association matrix can be constructed to do the robust spectral ensemble clustering. Experimental results show that our method has better clustering results in five real-world databases, especially in the large size of the databases.

关键词： Ensemble Clustering Co-association Matrix Representative Points Scalable Methods

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An inverse-system method for identification of damping rate functions in non-Markovian quantum systems

arXiv

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arXiv 2020年

作者： Xue, Shibei Tan, Lingyu Wu, Rebing Jiang, Min Petersen, Ian R. Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Department of Automation Tsinghua University Beijing100084 China Center for Quantum Information Science and Technology TNList Beijing100084 China School of Electronic and Information Engineering Soochow University Suzhou215006 China Research School of Electrical Energy and Materials Engineering Australian National University Canberra0200 Australia

Identification of complicated quantum environments lies in the core of quantum engineering, which systematically constructs an environment model with the aim of accurate control of quantum systems. In this paper, we present an inverse-system method to identify damping rate functions which describe non-Markovian environments in time-convolution-less master equations. To access information on the environment, we couple a finite-level quantum system to the environment and measure time traces of local observables of the system. By using sufficient measurement results, an algorithm is designed, which can simultaneously estimate multiple damping rate functions for different dissipative channels. Further, we show that identifiability for the damping rate functions corresponds to the invertibility of the system and a necessary condition for identifiability is also given. The effectiveness of our method is shown in examples of an atom and three-spin-chain non-Markovian systems. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum optics

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Robotic Electrospinning Actuated by Non-Circular Joint Continuum Manipulator for Endoluminal Therapy

arXiv

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arXiv 2021年

作者： Wu, Zicong Lou, Chuqian Jin, Zhu Huang, Shaoping Liu, Ning Zou, Yun Kovac, Mirko Gao, Anzhu Yang, Guang-Zhong Institute of Medical Robotics Department of Bioengineering Shanghai Jiao Tong University Shanghai200240 China Imperial College London Empa Swiss Federal Laboratories for Materials Science and Technology Limited Hong Kong999077 Hong Kong Aerial Robotics Laboratory Imperial College London LondonSW7 2AZ United Kingdom Institute of Medical Robotics Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China

Electrospinning has exhibited excellent benefits to treat the trauma for tissue engineering due to its produced micro/nano fibrous structure. It can effectively adhere to the tissue surface for long-term continuous therapy. This paper develops a robotic electrospinning platform for endoluminal therapy. The platform consists of a continuum manipulator, the electrospinning device, and the actuation unit. The continuum manipulator has two bending sections to facilitate the steering of the tip needle for a controllable spinning direction. Non-circular joint profile is carefully designed to enable a constant length of the centreline of a continuum manipulator for stable fluid transmission inside it. Experiments are performed on a bronchus phantom, and the steering ability and bending limitation in each direction are also investigated. The endoluminal electrospinning is also fulfilled by a trajectory following and points targeting experiments. The effective adhesive area of the produced fibre is also illustrated. The proposed robotic electrospinning shows its feasibility to precisely spread more therapeutic drug to construct fibrous structure for potential endoluminal treatments. © 2021, CC BY-NC-SA.

关键词： Electrospinning

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