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第36届中国控制会议

作者： Xilei Wang Ning Li Shaoyuan Li Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai Jiao Tong University

ISBN: (纸本)9781538629185

In this paper,a novel modeling method of soft sensing is presented to measure the spent catalyst’s carbon content in fluidized-bed catalytic *** model focuses on improving the existing soft sensing models’ performances,such as higher measurement accuracy,more robust working performance,or better generalization *** build this model,firstly,we choose the primary variables and secondary variables by analyzing the mechanism model of fluidized-bed catalytic ***,we build a 4 layers deep belief networks as a feature extraction structure to extract feature data from the input *** then we build an improved least squares support vector regression which is optimized by artificial bee colony algorithm as the regression *** extracted feature data will be the input to the regression ***,we use the catalyst related production data of 2# fluidized-bed catalytic cracking device from Sinopec Jiujiang Branch Corporation to train the *** simulation results verify the effectiveness of the presented method.

关键词： soft sensing mechanism model Deep Belief Networks Least Squares Support Vector Regression Artificial Bee Colony Algorithm spent catalyst’s carbon content Fluidized-bed Catalytic Cracking

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An Improved Tracking-Learning-Detection Method 34

An Improved Tracking-Learning-Detection Method

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第三十四届中国控制会议

作者： WEN Hailong WU Guangyu LI Jianxun School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China

ISBN: (纸本)9781467374439

As a novel tracking framework that explicitly decomposes the long-term tracking task into tracking, learning and detection, TLD still exists some drawbacks and challenges that have to be addressed in order to get a more reliable and general system, such as the manual initialization of tracking region and the bad adaptation in case of full out-of-plane rotation and strong deformation. In this paper, we put forward a framework of motion detection and recognition to solve the manual initialization problem. In addition, the components of the tracking points of original tracker have been transformed into partial ORB feature points at more reliable position, which could also develop the performance of detector and learning in turn. Experiments show that the improved TLD achieves higher precision, especially for out-of-plane rotation and strong deformation.

关键词： TLD,Visual Tracking,Motion Detection,ORB,Out-of-Plane Rotation

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An Improved High Precision 3D Semantic Mapping of Indoor Scenes from RGB-D Images

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Computer Modeling in Engineering & Sciences 2023年第12期137卷 2621-2640页

作者： Jing Xin Kenan Du Jiale Feng Mao Shan Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of TechnologyXi’an710048China Australian Centre for Field Robotics The University of SydneySydney2006Australia

This paper proposes an improved high-precision 3D semantic mapping method for indoor scenes using RGB-D *** current semantic mapping algorithms suffer from low semantic annotation accuracy and insufficient real-time *** address these issues,we first adopt the Elastic Fusion algorithm to select key frames from indoor environment image sequences captured by the Kinect sensor and construct the indoor environment space ***,an indoor RGB-D image semantic segmentation network is proposed,which uses multi-scale feature fusion to quickly and accurately obtain object labeling information at the pixel level of the spatial point cloud ***,Bayesian updating is used to conduct incremental semantic label fusion on the established spatial point cloud *** also employ dense conditional random fields(CRF)to optimize the 3D semantic map model,resulting in a high-precision spatial semantic map of indoor *** results show that the proposed semantic mapping system can process image sequences collected by RGB-D sensors in real-time and output accurate semantic segmentation results of indoor scene images and the current local spatial semantic ***,it constructs a globally consistent high-precision indoor scenes 3D semantic map.

关键词： 3D semantic map online reconstruction RGB-D images semantic segmentation indoor mobile robot

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The Ellipsoidal Invariant Set of Fractional Order systems Subject to Actuator Saturation:The Convex Combination Form

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IEEE/CAA Journal of Automatica Sinica 2016年第3期3卷 311-319页

作者： Kai Chen Junguo Lu Chuang Li School of Mechanical and Electrical Engineering Hainan University Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China

The domain of attraction of a class of fractional order systems subject to saturating actuators is investigated in this paper. We show the domain of attraction is the convex hull of a set of ellipsoids. In this paper, the Lyapunov direct approach and fractional order inequality are applied to estimating the domain of attraction for fractional order systems subject to actuator saturation. We demonstrate that the convex hull of ellipsoids can be made invariant for saturating actuators if each ellipsoid with a bounded control of the saturating actuators is invariant. The estimation on the contractively invariant ellipsoid and construction of the continuous feedback law are derived in terms of linear matrix inequalities (LMIs). Two numerical examples illustrate the effectiveness of the developed method. © 2014 Chinese Association of Automation.

关键词： Algebra Computational geometry Linear matrix inequalities Numerical methods Saturation (materials composition)

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Online distributed tracking of generalized Nash equilibrium on physical networks——Closing the Loop via Measurement Feedback

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Autonomous Intelligent systems 2021年第1期1卷 69-80页

作者： Yifan Su Feng Liu Zhaojian Wang Shengwei Mei Qiang Lu The State Key Laboratory of Power System Department of Electrical EngineeringTsinghua UniversityBeijingChina The Key Laboratory of System Control and Information ProcessingMinistry of Education of ChinaDepartment of AutomationShanghai Jiao Tong UniversityShanghaiChina

In generalized Nash equilibrium(GNE)seeking problems over physical networks such as power grids,the enforcement of network constraints and time-varying environment may bring high computational *** online algorithms is recognized as a promising method to cope with this challenge,where the task of computing system states is replaced by directly using measured values from the physical *** this paper,we propose an online distributed algorithm via measurement feedback to track the GNE in a time-varying networked resource sharing *** that some system states are not measurable and measurement noise always exists,a dynamic state estimator is incorporated based on a Kalman filter,rendering a closed-loop dynamics of measurement-feedback driven online *** prove that,with a fixed step size,this online algorithm converges to a neighborhood of the GNE in *** simulations validate the theoretical results.

关键词： Generalized Nash equilibrium Distributed optimization Online optimization Feedback-based optimization State estimation Sharing market

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Mem Brain: An Easy-to-Use Online Webserver for Transmembrane Protein Structure Prediction

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Nano-Micro Letters 2018年第1期10卷 12-19页

作者： Xi Yin Jing Yang Feng Xiao Yang Yang Hong-Bin Shen Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Computer Science Shanghai Jiao Tong University Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering

Membrane proteins are an important kind of proteins embedded in the membranes of cells and play crucial roles in living organisms, such as ion channels,transporters, receptors. Because it is difficult to determinate the membrane protein's structure by wet-lab experiments,accurate and fast amino acid sequence-based computational methods are highly desired. In this paper, we report an online prediction tool called Mem Brain, whose input is the amino acid sequence. Mem Brain consists of specialized modules for predicting transmembrane helices, residue–residue contacts and relative accessible surface area of a-helical membrane proteins. Mem Brain achieves aprediction accuracy of 97.9% of ATMH, 87.1% of AP,3.2 ± 3.0 of N-score, 3.1 ± 2.8 of C-score. Mem BrainContact obtains 62%/64.1% prediction accuracy on training and independent dataset on top L/5 contact prediction,respectively. And Mem Brain-Rasa achieves Pearson correlation coefficient of 0.733 and its mean absolute error of13.593. These prediction results provide valuable hints for revealing the structure and function of membrane *** Brain web server is free for academic use and available at ***/bioinf/Mem Brain/.

关键词： Transmembrane a-helices Structure prediction Machine learning Contact map prediction Relative accessible surface area

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Semi-Global Leaderless Consensus of Linear Multi-agent systems with Actuator and Communication Constraints

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Journal of systems Science & Complexity 2020年第4期33卷 882-902页

作者： WANG Jian SHI Liangren GUAN Xinping Department of Automation and Key Laboratory of System Control and Information Processing of Ministry of EducationShanghai Jiao Tong UniversityShanghai 200240China Shanghai Key Laboratory of Navigation and Location-based Services and Academy of Information Technology and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China

This paper studies the leaderless consensus problems of multi-agent systems with input saturation and intermittent communication over directed networks. Both the state feedback and the output feedback consensus algorithms are developed based on low gain feedback approach. The convergence of the trajectories of all agents can be achieved by these proposed algorithms, if the communication topology has a directed spanning tree, and the intermittent communication period T and time rate ρ are larger than their associated threshold values. Simulation examples are provided to verify the theoretical results.

关键词： agent directed communication

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Applications of artificial intelligence to lipid nanoparticle delivery

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Particuology 2024年第7期90卷 88-97页

作者： Ye Yuan Yuqi Wu Jiabei Cheng Kaiyuan Yang Yilin Xia Hongguang Wu Xiaoyong Pan Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information ProcessingMinistry of Education of ChinaChina Songjiang Research Institute Songjiang District Central HospitalShanghai Jiao Tong University School of MedicineShanghaiChina

Lipid nanoparticles(LNPs)are nanocarriers composed of four lipid components and can be used for gene therapy,protein replacement,and vaccine ***,LNPs also face several challenges,such as toxicity,immune activation,and low delivery *** overcome these challenges,artificial intelligence can be used to optimize the design and formulation of LNPs,as well as to predict their properties and ***,antibody-targeted conjugation can be used to enhance the specificity and selectivity of LNPs by attaching an antibody that recognizes a specific antigen on the cell surface to LNPs.

关键词： Artificial intelligence Lipid nanoparticles Antibody Targeted conjugation

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Depth-wise pooling: A parameter-less solution for channel reduction of feature-map in convolutional neural network

Depth-wise pooling: A parameter-less solution for channel re...

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2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019

作者： Hussain, Abid Hesheng, Wang Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China China

ISBN: (纸本)9781728137261

The Convolutional neural networks (CNN) almost always consists of spatial pooling, which reduce the spatial resolution of feature-maps without any trainable parameters. This not only facilitates the network to go deeper but also reduces computational complexity. But for feature-map channels reduction the cheapest method is l x l convolution used before the expensive 3x3 and 5x5 convolutions. We proposed depth-wise pooling a parameter less solution for feature-map channel reduction. Which can control number of feature-map in deep CNNs. The information lost can be control with feature sharing between consecutive selected channels of feature-maps. In this work we implement four depth-wise pooling methods for reduction of feature-map channels by changing the stride size and filter size. For fair analysis we implement our methods in DenseNet [1] which has state-of-the-art results and minimum number of parameters. We showed that parameters can be reduced up to 4 times in some cases and having almost the same results. © 2018 IEEE.

关键词： Convolution

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Same controller in All Loops controller Design for Multivariable systems with Multiple Time Delays Based on Ideal Decoupler 33

Same Controller in All Loops Controller Design for Multivari...

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第三十三届中国控制会议

作者： ZHANG Wei SUN Bo YANG Bo ZHANG Weidong Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University

ISBN: (纸本)9781479947249

In this paper,a two-degree-of-freedom(TDOF) control scheme for multi-input/multi-output(MIMO) systems with multiple time delays is ***,a novel inversing decoupler design method based on the ideal decoupling is proposed for decoupling the MIMO system with multiple time delays into several same independent single-input/single output(SISO) *** the H2 proportion-integral-derivative(PID) controller based on the internal model control(IMC) is applied to the obtained SISO ***,the second controller is developed according to the decoupled closed-loop transfer *** the decoupled SISO systems are the same,only one PID controller should be designed for the independent SISO *** proposed method can simplify the design task ***,because the TDOF control structure can isolate the disturbance from the reference,the controller of the reference loop can be used to improve the reference response *** are provided to illustrate the effectiveness of the proposed design approach.

关键词： two-degree-of-freedom,multi-input/multi-output,proportion-integral-derivative,time delay,ideal decoupling

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