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

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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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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Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm

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Chinese Journal of chemical Engineering 2015年第8期23卷 1350-1356页

作者：李泽秋杜文莉赵亮钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology

Synthesis and optimization of utility system usually involve grassroots design, retrofitting and operation optimization, which should be considered in modeling process. This paper presents a general method for synthesis and optimization of a utility system. In this method, superstructure based mathematical model is established, in which different modeling methods are chosen based on the application. A binary code based parameter adaptive differential evolution algorithm is used to obtain the optimal con figuration and operation conditions of the system. The evolution algorithm and models are interactively used in the calculation, which ensures the feasibility of con figuration and improves computational ef ficiency. The capability and effectiveness of the proposed approach are demonstrated by three typical case studies.

关键词： Utility system synthesis MINLP Operation optimization

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Causal reasoning in typical computer vision tasks

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Science China(Technological Sciences) 2024年第1期67卷 105-120页

作者： ZHANG KeXuan SUN QiYu ZHAO ChaoQiang TANG Yang Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China National Key Laboratory of Air based Information Perception and Fusion Luoyang 471000China Luoyang Institute of Electro Optical Equipment of Avic Luoyang 471000China

Deep learning has revolutionized the field of artificial *** on the statistical correlations uncovered by deep learning-based methods,computer vision tasks,such as autonomous driving and robotics,are growing *** being the basis of deep learning,such correlation strongly depends on the distribution of the original data and is susceptible to uncontrolled *** the guidance of prior knowledge,statistical correlations alone cannot correctly reflect the essential causal relations and may even introduce spurious *** a result,researchers are now trying to enhance deep learningbased methods with causal *** theory can model the intrinsic causal structure unaffected by data bias and effectively avoids spurious *** paper aims to comprehensively review the existing causal methods in typical vision and visionlanguage tasks such as semantic segmentation,object detection,and image *** advantages of causality and the approaches for building causal paradigms will be *** roadmaps are also proposed,including facilitating the development of causal theory and its application in other complex scenarios and systems.

关键词： causal reasoning computer vision tasks vision-language tasks semantic segmentation object detection

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Sliding mode control for Markovian jump systems under deception attacks 33

Sliding mode control for Markovian jump systems under decept...

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第33届中国控制与决策会议

作者： Bei Chen Yugang Niu Zhiru Cao The School of Electric and Electronic Engineering Shanghai University of Engineering Science The Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education The Key Laboratory of Advanced Control and Optimization for Chemical Proces (East China University of Science and Technology)s Ministry of Education

ISBN: (纸本)9781665431293

This research article considers the design of static output-feedback sliding mode control for Markovian jump systems,in which the attacker may inject false information into the communication channel between the controller and the *** key issue is how to design the feasible sliding mode control law to overcome the effects of unknown and time-varying *** this end,an on-line estimation scheme is introduced to deal with the unknown network attack *** then,a linear sliding surface is constructed based on the measured output information and an outputfeedback sliding mode controller is correspondingly *** is shown that the reachability of the specified sliding surface can be achieved and the asymptotic stability of the closed-loop system can be ensured under the derived sufficient ***,simulation examples are provided to verify the developed static output-feedback sliding mode control strategy.

关键词： Markovian Jump Systems Sliding Mode control Deception Attacks Static Output-feedback control

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Model predictive control for constrained uncertain piecewise linear systems

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控制理论与应用（英文版） 2013年第2期11卷 230-236页

作者： Dewei LI Yugeng XI Yuanyuan ZOU Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

For constrained piecewise linear （PWL） systems, the possible existing model uncertainty will bring the difficulties to the design approaches of model predictive control （MPC） based on mixed integer programming （MIP）. This paper combines the robust method and hybrid method to design the MPC for PWL systems with structured uncertainty. For the proposed approach, as the system model is known at current time, a free control move is optimized to be the current control input. Meanwhile, the MPC controller uses a sequence of feedback control laws as the future control actions, where each feedback control law in the sequence corresponds to each partitions and the arbitrary switching technique is adopted to tackle all the possible switching. Furthermore, to reduce the online computational burden of MPC, the segmented design procedure is suggested by utilizing the characteristics of the proposed approach. Then, an offline design algorithm is proposed, and the reserved degree of freedom can be online used to optimize the control input with lower computational burden.

关键词： Model predictive control Constrained piecewise linear system Structured uncertainty Segmented designprocedure

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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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Optimal design of extractive dividing-wall column using an efficient equation-oriented approach

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Frontiers of chemical Science and Engineering 2021年第1期15卷 72-89页

作者： Yingjie Ma Nan Zhang Jie Li Cuiwen Cao Centre for Process Integration Department of Chemical Engineering and Analytical ScienceSchool of EngineeringThe University of ManchesterManchester M139PLUK Key Laboratory of Advanced Control and Optimization for Chemical Processes(Ministry of Education) East China University of Science and TechnologyShanghai 200237China

The extractive dividing-wall column(EDWC)is one of the most efficient technologies for separation of azeotropic or close boiling-point mixtures,but its design is fairly *** this paper we extend the hybrid feasible path optimisation algorithm(Ma Y,McLaughlan M,Zhang N,Li ***&chemical Engineering,2020,143:107058)for such optimal *** tolerances-relaxation integration method is refined to allow for long enough integration time that can ensure the solution of the pseudo-transient continuation simulation close to the steady state before the required tolerance is *** ensure the gradient and Jacobian information available for optimisation,we allow a relaxed tolerance for the simulation in the sensitivity analysis mode when the simulation diverges under small *** addition,valid lower bounds on purity of the recycled entrainer and the vapour flow rate in column sections are imposed to improve computational *** computational results demonstrate that the extended hybrid algorithm can achieve better design of the EDWC compared to those in *** energy consumption can be reduced by more than 20%compared with existing literature *** addition,the optimal design of the heat pump assisted EDWC is achieved using the improved hybrid algorithm for the first time.

关键词： design extractive dividing-wall column equation-oriented optimisation pseudo-transient continuation model hybrid algorithm

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Application of Velocity Adaptive Shuffled Frog Leaping Bat Algorithm in ICS Intrusion Detection 29

Application of Velocity Adaptive Shuffled Frog Leaping Bat A...

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第29届中国控制与决策会议

作者： Jinle Li Huazhong Wang Bingyong Yan East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes

ISBN: (纸本)9781509046584

In this paper, a velocity adaptive shuffled frog leaping bat algorithm(VASFLBA) is proposed to solve the problem that the bat algorithm(BA) is easy to fall into local optimum and a lack of deep local search ability. Firstly, the influence of the current stochastic local optimal solution on the search of the algorithm is considered. Two adaptive proportional regulation factors are introduced to balance global and local search. Then, the locally deep search ability is enhanced by using the meme transfer mechanism of shuffled frog leaping algorithm(SFLA). In addition, stochastic population competition is introduced to improve the global search ability and when the algorithm trapped in the local optimum, differential mutation operation is performed on the current global optimal bat so that the algorithm can jump out of the local optimum. The superiority of VASFLBA is verified by benchmark test functions. On this basis, VASFLBA is used to optimize the parameters of support vector machine(SVM) in intrusion detection of industrial control system(ICS), and the standard dataset for ICS intrusion detection is used for simulation. The results show that, compared with BA, SFLA and other algorithms, VASFLBA can better solve the problem of SVM parameters selection.

关键词： Bat Algorithm(BA) Velocity Adaptive SFLA ICS Intrusion Detection SVM

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