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Multi-Model Based PSO Method for Burden Distribution Matrix Optimization With Expected Burden Distribution Output Behaviors

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IEEE/CAA Journal of Automatica Sinica 2019年第6期6卷 1506-1512页

作者： Yong Zhang Ping Zhou Guimei Cui state key laboratory of synthetical automation for process Industries Northeastern UniversityShenyang 110819and also with the School of Information EngineeringInner Mongolia University of Science and TechnologyBaotou 014010China state key laboratory of synthetical automation for process Industries Northeastern UniversityShenyang 110819China School of Information Engineering Inner Mongolia University of Science and TechnologyBaotou 014010China

Burden distribution is one of the most important operations, and also an important upper regulation in blast furnace(BF) iron-making process. Burden distribution output behaviors(BDOB) at the throat of BF is a 3-dimensional spatial distribution produced by burden distribution matrix(BDM),including burden surface output shape(BSOS) and material layer initial thickness distribution(MLITD). Due to the lack of effective model to describe the complex input-output relations,BDM optimization and adjustment is carried out by experienced foremen. Focusing on this practical challenge, this work studies complex burden distribution input-output relations, and gives a description of expected MLITD under specific integral constraint on the basis of engineering practice. Furthermore, according to the decision variables in different number fields, this work studies optimization of BDM with expected MLITD, and proposes a multi-mode based particle swarm optimization(PSO) procedure for optimization of decision variables. Finally, experiments using industrial data show that the proposed model is effective, and optimized BDM calculated by this multi-model based PSO method can be used for expected distribution tracking.

关键词： Blast furnace burden distribution burden distribution matrix(BDM) burden distribution output behaviors(BDOB) distributed parameter system particle swarm optimization(PSO)

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Pareto Efficiency of Finite Horizon Switched Linear Quadratic Differential Games

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Journal of Systems Science & Complexity 2018年第1期31卷 173-187页

作者： HUANG Yabing ZHAO Jun College of Information Science and Engineering Northeastern University Shenyang 110819 China state key laboratory of synthetical automation for process Industries Northeastern University Shenyang 110819 China

A switched linear quadratic（LQ） differential game over finite-horizon is investigated in this paper. The switching signal is regarded as a non-conventional player, afterwards the definition of Pareto efficiency is extended to dynamics switching situations to characterize the solutions of this multi-objective problem. Furthermore, the switched differential game is equivalently transformed into a family of parameterized single-objective optimal problems by introducing preference information and auxiliary variables. This transformation reduces the computing complexity such that the Pareto frontier of the switched LQ differential game can be constructed by dynamic programming. Finally, a numerical example is provided to illustrate the effectiveness.

关键词： Dynamic optimization linear quadratic problems Pareto efficiency switched differential game

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automation 5.0: The key to Systems Intelligence and industry 5.0

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1723-1727页

作者： Ljubo Vlacic Hailong Huang Mariagrazia Dotoli Yutong Wang Petros A.Ioannou Lili Fan Xingxia Wang Raffaele Carli Chen Lv Lingxi Li Xiaoxiang Na Qing-Long Han Fei-Yue Wang Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment Griffith UniversityNathanQLD 4111Australia Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly state key laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Qingdao Academy of Intelligent IndustriesQingdao 266114China Department of Electrical Engineering-Systems University of Southern CaliforniaLos AngelesCA 90007 USA School of automation Beijing Institute of TechnologyBeijing 100081China state key laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 Beijing Huairou Academy of Parallel Sensing Beijing 101499China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndianapolisIN 46202 USA Department of Engineering University of CambridgeCB21TN CambridgeU.K. School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia state key laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Dazhou Artificial Intelligence Institute Dazhouand the Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

automation has come a long way since the early days of mechanization,i.e.,the process of working exclusively by hand or using animals to work with *** rise of steam engines and water wheels represented the first generation of industry,which is now called industry Citation:***,***,***,***,***,***,***,***,***,***,***,Q.-***,and F.-***,“automation 5.0:The key to systems intelligence and industry 5.0,”IEEE/CAA ***,vol.11,no.8,pp.1723-1727,Aug.2024.

关键词： automation machinery intelligence

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Output Regulation of Multiple Heterogeneous Switched Linear Systems

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International Journal of automation and computing 2018年第4期15卷 492-499页

作者： Hong-Wei Jia Jun Zhao state key laboratory of synthetical automation for process Industries Northeastern University College of Information Science and Engineering Northeastern University Normal College Shenyang University

This paper addresses the cooperative output regulation problem of a class of multi-agent systems （MASs）. Each agent is a switched linear system. We propose an agent-dependent multiple Lyapunov function （MLF） approach to design the switching law for each switched agent. The distributed controller for each agent is constructed based on a dynamic compensator. A sufficient condition for the solvability of the output regulation problem of switched agent networks is presented by distributed controllers and agent-dependent multiple Lyapunov function approach. Finally, simulation results demonstrate the effectiveness of our theory.

关键词： Switched multi-agent systems(MASs) cooperative output regulation switched heterogeneous linear system agent-dependent multiple Lyapunov function(MLF) distributed control.

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Bipartite Formation Tracking for Multi-Agent Systems Using Fully Distributed Dynamic Edge-Event-Triggered Protocol

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IEEE/CAA Journal of Automatica Sinica 2022年第5期9卷 847-853,I0002-I0005页

作者： Weihua Li Huaguang Zhang Yu Zhou Yingchun Wang College of Information Science and Engineering Northeastern UniversityShenyang 110819China state key laboratory of synthetical automation for process Industries Northeastern UniversityShenyang 110004 IEEE

In this study,the bipartite time-varying output formation tracking problem for heterogeneous multi-agent systems(MASs)with multiple leaders and switching commu-nication networks is *** that the switching communication networks may be connected or *** address this problem,a novel reduced-dimensional observer-based fully distributed asynchronous dynamic edge-event-triggered output feedback control protocol is developed,and the Zeno behavior is ruled *** theoretical analysis gives the admissible switching frequency and switching width under the proposed control *** from the existing works,the control protocol reduces the dimension of information to be transmitted between neighboring ***,since an additional positive internal dynamic variable is introduced into the triggering functions,the control protocol can guarantee a larger inter-event time interval compared with previous ***,a simulation example is given to verify the effectiveness and performance of the theoretical result.

关键词： Bipartite control dynamic edge-event-triggered control formation tracking multi-agent systems(MASs)

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Appointment scheduling for routine and urgent patients under deterministic service time

Appointment scheduling for routine and urgent patients under...

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第25届中国控制与决策会议

作者： Chongjun YAN Jiafu TANG Huabo ZHU Dept of Systems Engineering State Key Lab of Synthetical Automation of Process Industry Northeastern University （NEU）

ISBN: (纸本)9781467355339

In this paper, we derive solution approaches for outpatient appointment schedule problem with routine and urgent patients under deterministic service time considering no-show probability to minimize a weighted sum of average waiting time, idle time and overtime. An exact method is designed to find an optimal solution. Numerical experiments are conducted to illustrate what’s the impact of the critical factors on service efficiency of the clinic in practice, which reveals that lower no-show probability will benefit both patients and clinics.

关键词： Appointment Scheduling Healthcare Operations Management

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A self-tuning control method for Wiener nonlinear systems and its application to process control problems

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Chinese Journal of Chemical Engineering 2017年第2期25卷 193-201页

作者： Ping Yuan Bi Zhang Zhizhong Mao College of Information Science & Engineering Northeastern University Shenyang 110819 China state key laboratory of synthetical automation for process Industries Northeastern University Shenyang 110819 China

Many chemical processes can be modeled as Wiener models, which consist of a linear dynamic subsystem followed by a static nonlinear block. In this paper, an effective discrete-time adaptive control method is proposed for Wiener nonlinear systems with uncertainties. The parameterization model is derived based on the inverse of the nonlinear function block. The adaptive control method is motivated by self-tuning control and is derived from a modified Clarke criterion function, which considers both tracking properties and control efforts. The uncertain parameters are updated by a recursive least squares algorithm and the control law exhibits an explicit form. The closed-loop system stability properties are discussed. To demonstrate the effectiveness of the obtained results, two groups of simulation examples including an application to composition control in a continuously stirred tank reactor(CSTR) system are studied.

关键词： Wiener systemsAdaptive controlUncertaintiesStabilityCSTR

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A novel Lagrangian relaxation level approach for scheduling steelmaking-refining-continuous casting production

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Journal of Central South University 2017年第2期24卷 467-477页

作者：庞新富高亮潘全科田卫华俞胜平 state key laboratory of Digital Manufacturing Equipment and Technology (Huazhong University of Science and Technology) Wuhan 430074 China School of automation Shenyang Institute of Engineering Shenyang 110136 China state key laboratory of synthetical automation for process Industries (Northeastern University) Shenyang 110819 China

A Lagrangian relaxation(LR) approach was presented which is with machine capacity relaxation and operation precedence relaxation for solving a flexible job shop(FJS) scheduling problem from the steelmaking-refining-continuous casting process. Unlike the full optimization of LR problems in traditional LR approaches, the machine capacity relaxation is optimized asymptotically, while the precedence relaxation is optimized approximately due to the NP-hard nature of its LR problem. Because the standard subgradient algorithm(SSA) cannot solve the Lagrangian dual(LD) problem within the partial optimization of LR problem, an effective deflected-conditional approximate subgradient level algorithm(DCASLA) was developed, named as Lagrangian relaxation level approach. The efficiency of the DCASLA is enhanced by a deflected-conditional epsilon-subgradient to weaken the possible zigzagging phenomena. Computational results and comparisons show that the proposed methods improve significantly the efficiency of the LR approach and the DCASLA adopting capacity relaxation strategy performs best among eight methods in terms of solution quality and running time.

关键词： steelmaking-refining-continuous casting Lagrangian relaxation(LR) approximate subgradient optimization

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Statistical analysis for decision support of pickup and delivery customers to airport service 25th

Statistical analysis for decision support of pickup and deli...

引用

第25届中国控制与决策会议

作者： Wang Weidi Yu Yang Tang Jiafu Dept of Systems Engineering Northeastern University key laboratory of synthetical automation of process industry of MOE Northeastern University

ISBN: (纸本)9781467355339

Along with the gradual maturity of Pickup and Delivery Customers to Airport service （PDCA）, transactional management can’t meet the needs of Flight Tickets Sale Companies （FTSC） which implemented PDCA. In fact, company urgently demands statistical information from the accumulated data of service to make correct decisions. Therefore, the aim of the research is to evaluate and analyze the historical data of PDCA platform to help companies successfully decide how to arrange their operational tactics. According to the feature of PDCA, importance and content of statistical information of PDCA is proposed. By our implemented platform, we show how to use the statistical information to provide decision support for the companies which implemented PDCA. These results of the analysis also prove that the statistical information make the company easily master the whole condition of PDCA and adjust the operation method to obtain the better profits.

关键词： Statistical analysis decision support Pickup and Delivery Customers to Airport service.

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Modeling and Optimizing of 4PL Routing Optimization Problem Based on Goal Programming

Modeling and Optimizing of 4PL Routing Optimization Problem ...

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第25届中国控制与决策会议

作者： Huang Min Ren Liang Chang Ming Cui Yan College of Information Science and Engineering Northeastern University key laboratory of synthetical automation of process industry Northeastern University

ISBN: (纸本)9781467355339

Routing problem is one of the key issues in the fourth party logistics. Considering the cost and time expectation of fourth party logistics, this paper studied the single-point to single-point and single-task routing problem in view of goal programming. The novel goal programming mathematical model was established first. Then, an improved differential evolution algorithm was designed based on characteristics of the problem and compared to genetic algorithm. Finally several examples showed the effectiveness and robustness of the method.

关键词： Fourth party logistics Routing optimization Goal programming Differential evolution algorithm

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