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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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Method for coloring night-vision imagery based on multispectral semantic segmentation

Method for coloring night-vision imagery based on multispect...

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2018 Australian and New Zealand control Conference, ANZCC 2018

作者： Zhang, Weiwen Gu, Xiaojing Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781538666173

Color night vision can map natural colors to nighttime images of multiple bands (e.g., visible and long-wave infrared (LWIR)). These colors can assist the observers in better and faster understanding images, thus improving their situational awareness and shortening the reaction time. In this paper, we present an effective method combining deep learning and category colors. It utilizes the semantic segmentation for image segmentation first, and then colorize the image according to categories to avoid the same color scheme and unnatural colors. We compare our method with some others quantitatively and qualitatively, such as global colorization by single lookup table, where we show significant improvements. In addition, it can be expanded according to different environments and applications because of the fixed category colors. © 2018 IEEE.

关键词： Color

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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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Pareto-Based Complete Local Search and Combined Timetabling for Multi-objective Job Shop Scheduling Problem with No-Wait Constraint

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Journal of Donghua University(English Edition) 2016年第4期33卷 601-609,624页

作者：杨玉珍顾幸生 School of Electrical Engineering Shanghai Dianji University Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology

Job shop scheduling has become the basis and core of advanced manufacturing technology. Various differences exist between academic research and practical production. The majority of previous researches on job shop scheduling problem (JSSP)describe the basic production environment, which have a single objective and limited constraints. However,a practical process of production is characterized by having multiple objectives,no-wait constraint,and limited storage. Thus this research focused on multiobjective,no-wait JSSP. To analyze the problem,it was further divided into two sub-problems, namely, sequencing and timetabling. Hybrid non-order strategy and modified complete local search with memory were used to solve each problem individually. A Pareto-based strategy for performing fitness assessment was presented in this study. Various experiments on benchmark problems proved the feasibility and effectiveness of the proposed algorithm.

关键词： Pareto Scheduling scheduling constraints benchmark crossover fitness performing objectives sequencing

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Distributed H∞ Filtering for Active Semi-vehicle Suspension Systems through Network with Limited Capacity 35

Distributed H∞ Filtering for Active Semi-vehicle Suspension...

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第35届中国控制会议

作者： ZHENG Xiaoyuan ZHANG Hao YAN Huaicheng Department of Control Science and Engineering Tongji University Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education

ISBN: (纸本)9781509009107

This paper investigates a distributed H filtering problem for active semi-vehicle suspension *** active semi-vehicle suspension system is divided into two subsystems and filter systems are designed for each *** information of active semi-vehicle suspension system is transmitted via wireless network with limited ***,the limited bandwidth and time delay of network are taken into *** applying Lyapunov functional approach,the H filtering performance is established,and the filtering design is converted to optimization problem with linear matrix inequality ***,a simulation experiment is provided to illustrate the effectiveness of the proposed filtering system.

关键词： Active semi-vehicle suspension system Time-delay Event-triggered Distributed H_∞ filter

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Prescribed-time distributed localization of multi-agent systems based on local bearing information 43

Prescribed-time distributed localization of multi-agent syst...

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43rd Chinese control Conference, CCC 2024

作者： Lv, Yunkai Yan, Huaicheng Rao, Kai Yang, Penghui East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education Shanghai200237 China

ISBN: (纸本)9789887581581

This work considers the localizability of multi-agent systems based on local bearing measurement. A novel prescribed-time orientation estimation algorithm is first proposed to guarantee that the local reference frame of the follower agent is aligned with the global one. The orientation estimation algorithm is then applied to the problem of position estimation, and a prescribed-time distributed localization estimation algorithm is deigned. The global convergence is derived based on the cascade system. Some simulation results are provided to prove the effectiveness of the proposed estimation methods. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Local bearing information orientation estimation prescribed-time

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Finite-time 2-∞ control of Markovian jump linear systems with partly accessible hidden information via asynchronous output feedback 11

Finite-time 2-∞ control of Markovian jump linear systems wi...

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2017 11th Asian control Conference, ASCC 2017

作者： Song, Jun Niu, Yugang Zhao, Haijuan Cao, Zhiru Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Ministry of Education Shanghai200237 China

ISBN: (纸本)9781509015733

This work addresses the asynchronous finite-time 2-∞ control problem for discrete-time Markovian jump linear systems (MJLSs) via static output feedback strategy. The asynchronous phenomenon between the system mode and controller mode is represented as a hidden Markov model. Compared with the existing literature, the strict assumption on the mode observation conditional probability matrix (MOCPM) of a hidden Markov model is removed in this work. By means of matrix inequality techniques, sufficient conditions are attained to ensure both of the finite-time stochastic boundedness and the finite-time 2-∞ disturbance attenuation performance of the MJLSs subject to partly accessible MOCPM. Furthermore, an algorithm is established to solve asynchronous control gains. Finally, the multiplier-accelerator macroeconomic system is provided to illustrate the effectiveness and applicability of the proposed design scheme. © 2017 IEEE.

关键词： Hidden Markov models

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A hybrid discrete harmony search algorithm for flow shop scheduling with limited buffers 3

A hybrid discrete harmony search algorithm for flow shop sch...

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3rd International Workshop on advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013

作者： Cui, Zhe Gu, Xing-Sheng Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China

The flow shop scheduling problem with limited buffers is widely existing in manufacturing systems. This article proposes a hybrid discrete harmony search algorithm for the problem to minimize total flow time. The algorithm presents a novel discrete improvisation and a differential evolution scheme with the job-permutation-based representation. Moreover, the discrete harmony search is hybridized with the problem-dependent local search based on insert neighborhood to balance the global exploration and local exploitation. In addition, an orthogonal experiment design is employed to provide a receipt for turning the adjustable parameters of the algorithm. Comparisons based on the Taillard benchmarks indicate the superiority of the proposed algorithm in terms of effectiveness and efficiency.

关键词： Manufacture

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A fast MPC algorithm for reducing computation burden of MIMO

A fast MPC algorithm for reducing computation burden of MIMO

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作者： Qi, Rongbin Mei, Hua Chen, Chao Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China

The computation burden in the model-based predictive control algorithm is heavy when solving QR optimization with a limited sampling step, especially for a complicated system with large dimension. A fast algorithm is proposed in this paper to solve this problem, in which real-time values are modulated to bit streams to simplify the multiplication. In addition, manipulated variables in the prediction horizon are deduced to the current control horizon approximately by a recursive relation to decrease the dimension of QR optimization. The simulation results demonstrate the feasibility of this fast algorithm for MIMO systems. © 2015 Elsevier B.V.

关键词： MIMO systems

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