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Distributed event-triggered consensus tracking of second-order multi-agent systems with a virtual leader

Chinese Physics B 2016年第5期25卷 487-492页

作者：曹劼吴治海彭力 Key Laboratory of Advanced Process Control for Light Industry of the Ministry of Education School of Internet of Things Engineering Jiangnan University

This paper investigates the consensus tracking problems of second-order multi-agent systems with a virtual leader via event-triggered control. A novel distributed event-triggered transmission scheme is proposed, which is intermittently examined at constant sampling instants. Only partial neighbor information and local measurements are required for event detection. Then the corresponding event-triggered consensus tracking protocol is presented to guarantee second-order multi-agent systems to achieve consensus tracking. Numerical simulations are given to illustrate the effectiveness of the proposed strategy.

关键词： consensus tracking event-triggered control sampled-data second-order multi-agent systems

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Vision-based trajectory tracking control of quadrotors using super twisting sliding mode control

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Cyber-Physical Systems 2020年第4期6卷 207-230页

作者： Wu, Wenhui Jin, Xin Tang, Yang Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China

A trajectory-tracking problem for a vision-based quadrotor control system is investigated in this paper. A super twisting sliding mode (STSM) controller is proposed for finite-time trajectory tracking control. With the help of the homogeneous technique, the closed-loop system is proved to be finite-time stable. In addition, due to the introduction of super twisting mechanism, the controller can restrain chattering effect of sliding mode control. On the other hand, a pose estimation through data fusion is proposed to localise the quadrotor. A Kalman filter (KF) is utilised to fuse the estimated pose from semi-direct monocular visual odometry (SVO) with data from inertial measurement unit (IMU). A number of simulations are carried out on MATLAB and physical engine simulator Gazebo. The results show that the proposed system controller has better performances in terms of robustness and anti-disturbance than the proportional–integral–derivative (PID) controller and the first order sliding mode controller. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Closed loop systems

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Dynamical Consensus Algorithm for Second-Order Multi-Agent Systems Subjected to Communication Delay

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Communications in Theoretical Physics 2013年第6期59卷 773-781页

作者：刘成林刘飞 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of AutomationJiangnan University

To solve the dynamical consensus problem of second-order multi-agent systems with communication delay,delay-dependent compensations are added into the normal asynchronously-coupled consensus algorithm so as to make the agents achieve a dynamical consensus. Based on frequency-domain analysis, sufficient conditions are gained for second-order multi-agent systems with communication delay under leaderless and leader-following consensus algorithms respectively. Simulation illustrates the correctness of the results.

关键词： dynamical consensus second-order multi-agent systems communication delay delay-dependentcompensation

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Global Inference Preserving Projection for Semi-supervised Discriminant Analysis

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Journal of Donghua University(English Edition) 2012年第2期29卷 144-147页

作者：谷小婧孙韶媛方建安 Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology College of Information Science&Technology Donghua University

Semi-supervised dimensionality reduction is an important research area for data classification. A new linear dimensionality reduction approach, global inference preserving projection （GIPP）, was proposed to perform classification task in semi-supervised case. GIPP provided a global structure that utilized the underlying discriminative knowledge of unlabeled samples. It used path-based dissimilarity measurement to infer the class label information for unlabeled samples and transformd the diseriminant algorithm into a generalized eigenequation problem. Experimental results demonstrate the effectiveness of the proposed approach.

关键词： semi-supervised learning dimensionality reduction manifoM structure

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Synchronization for complex dynamical Lurie networks

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Chinese Physics B 2013年第10期22卷 154-161页

作者：张晓娇崔宝同 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University School of IoT Engineering Jiangnan University

This paper investigates the synchronization problem for two different complex dynamical Lurie networks, The first one is with constant coupling and the second one is with constant coupling and discrete-delay coupling. Based on contraction theory and matrix measure properties, some new delay-independent synchronization conditions depending on coupling strength and network topology are proposed. Finally, simulation results are presented to support the theoretical results.

关键词： contraction theory virtual system partial contraction uniformly negative definite hybrid coupling

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process Monitoring Based on Performance-Triggered Scheme

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IFAC-PapersOnLine 2018年第18期51卷 321-326页

作者： Ming-shan, Zhang Yang, Jian Tan, Shuai Hong-bo, Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China

In process monitoring, some specific performance indexes need to be paid attention to. Therefore, the performance-triggered process monitoring scheme is proposed. Different from the traditional process monitoring method, the process is considered normal if there is no apparent anomaly happens on the performance index. In order to predict the values of performance indexes that cannot be measured in real time, ridge regression is used. And, the regression coefficients are used to pick the most relevant process variables for subsequent modelling. In this scheme, after the performance index exceeds the control limit, the monitoring of the relevant process variables is triggered to determine whether the prediction is abnormal due to the occurrence of a fault. Then, dictionary learning method and Low rank representation (LRR) are used for feature extraction and construction of the statistic. Finally, the effectiveness of the proposed method is verified by a numerical example and the Tennessee Eastman (TE) process. © 2018

关键词： Monitoring Fault detection Learning systems Numerical methods process control process monitoring Regression analysis Dictionary learning Feature extraction and constructions In process monitoring Low rank representations Performance indices process Variables Regression coefficient Variable selection

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Dynamic CCA-Based Distributed Monitoring for Multiunit Non-Gaussian processes

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IFAC-PapersOnLine 2018年第21期51卷 347-352页

作者： Jiang, Qingchao Yan, Xuefeng Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China

Multiunit non-Gaussian dynamic processes are more popular, and monitoring of such processes becomes important. A dynamic canonical correlation analysis (DCCA)-based distributed monitoring approach for multiunit non-Gaussian dynamic processes is proposed. First, DCCA is performed between each local unit and the coupled units, which models both the auto-correlation and cross-correlation among units. Second, two fault detection residuals are generated for each local unit, through which both the process status and the type of a detected fault are identified. The proposed DCCA monitoring scheme achieves local unit monitoring by considering the variables from both the local unit and the coupled units, and therefore exhibits superiority. Applications on the Tennessee Eastman benchmark process are provided, through which the efficiency of the DCCA monitoring method is demonstrated. © 2018

关键词： Monitoring Benchmarking Correlation methods Fault detection Gaussian distribution Gaussian noise (electronic) process control process monitoring Canonical correlation analysis Cross correlations Distributed monitoring Distributed process Dynamic process monitoring Monitoring methods Non Gaussian process Tennessee Eastman

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Immune response-based algorithm for optimization of dynamic environments

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Journal of Central South University 2011年第5期18卷 1563-1571页

作者：史旭华钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology College of Information Science and Engineering Ningbo University

A novel immune algorithm suitable for dynamic environments (AIDE) was proposed based on a biological immune response *** dynamic process of artificial immune response with operators such as immune cloning,multi-scale variation and gradient-based diversity was *** the immune cloning operator was derived from a stimulation and suppression effect between antibodies and antigens,a sigmoid model that can clearly describe clonal proliferation was *** addition,with the introduction of multiple populations and multi-scale variation,the algorithm can well maintain the population diversity during the dynamic searching *** traditional artificial immune algorithms,which require randomly generated cells added to the current population to explore its fitness landscape,AIDE uses a gradient-based diversity operator to speed up the optimization in the dynamic *** reported algorithms were compared with AIDE by using Moving Peaks *** experiments show that AIDE can maintain high population diversity during the search process,simultaneously can speed up the ***,AIDE is useful for the optimization of dynamic environments.

关键词： dynamic optimization artificial immune algorithms immune response multi-scale variation

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Study on co-cracking performance of different hydrocarbon mixture in a steam pyrolysis furnace

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Chinese Journal of chemical Engineering 2016年第9期24卷 1252-1262页

作者： Benfeng Yuan Jinlong Li Wenli Du Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology School of Information Science and Technology East China University of Science and Technology

Co-cracking is a process where the mixtures of different hydrocarbon feedstocks are cracked in a steam pyrolysis furnace, and widely adopted in chemical industries. In this work, the simulations of the co-cracking of ethane and propane, and LPG and naphtha mixtures have been conducted, and the software packages of COILSIM1 D and Sim CO are used to account for the cracking process in a tube reactor. The effects of the mixing ratio, coil outlet temperature, and pressure on cracking performance have been discussed in detail. The co-cracking of ethane and propane mixture leads to a lower profitability than the cracking of single ethane or single propane. For naphtha, cracking with LPG leads to a higher profitability than single cracking of naphtha, and more LPG can produce a higher profitability.

关键词： Co-cracking Mixing ratio Coil outlet temperature(COT) Coil outlet pressure(COP) Pyrolysis furnace

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A Discrete Artificial Bee Colony Algorithm for Minimizing the Total Flow Time in the Blocking Flow Shop Scheduling

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Chinese Journal of chemical Engineering 2012年第6期20卷 1067-1073页

作者：邓冠龙徐震浩顾幸生 Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology

A discrete artificial bee colony algorithm is proposed for solving the blocking flow shop scheduling problem with total flow time criterion. Firstly, the solution in the algorithm is represented as job permutation. Secondly, an initialization scheme based on a variant of the NEH (Nawaz-Enscore-Ham) heuristic and a local search is designed to construct the initial population with both quality and diversity. Thirdly, based on the idea of iterated greedy algorithm, some newly designed schemes for employed bee, onlooker bee and scout bee are presented. The performance of the proposed algorithm is tested on the well-known Taillard benchmark set, and the computational results demonstrate the effectiveness of the discrete artificial bee colony algorithm. In addition, the best known solutions of the benchmark set are provided for the blocking flow shop scheduling problem with total flow time criterion.

关键词： blocking flow shop scheduling artificial bee colony algorithm total flow time

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