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2012年计算机应用与系统建模国际会议

作者： Guoqiang Zeng Chongwei Zheng Zhengjiang Zhang Yongzai Lu College of Physics &Electronic Information Engineering Wenzhou University State Key Laboratory of Industrial Control Technology &Institute of Cyber-systems and Control Zhejiang University State Key Laboratory of Industrial Control Technology &Institute of Cyber-systems and Control Zhejiang University

The original Extremal Optimization (EO) algorithm and its modified versions have been successfully applied to a variety of NP-hard optimization problems. However, almost all existing EO-based algorithms have overlooked the inherent structural properties behind the optimization problems, e.g., the backbone information. This paper presents a novel stochastic local search method called Backbone Guided Extremal Optimization (BGEO) to solve the hard maximum satisfiability (MAX-SAT) problem, one of typical NP-hard problems. The key idea behind the proposed method is to incorporate the backbone information into a recent developed optimization algorithm termed extremal optimization (EO) to guide the entire search process approach the optimal solutions. The superiority of BGEO to the reported BE-EEO algorithm without backbone information is demonstrated by the experimental results on the hard Max-SAT instances.

关键词： Backbone, Extremal optimization, Maximum satisfiability problem, Phase transition

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Multiobjective bio-inspired algorithm based on membrane computing

Multiobjective bio-inspired algorithm based on membrane comp...

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2012 International Conference on Computer Science and Information Processing, CSIP 2012

作者： Zhao, Jin-Hui Wang, Ning Zhou, Ping State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110819 China National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Research Centre of Automation Northeastern University Shenyang 110819 Liaoning China

ISBN: (纸本)9781467314114

This paper presents a new multiobjective bio-inspired algorithm based on membrane computing (MOBIAMC). Similar to the single objective bio-inspired algorithm based on membrane computing (BIAMC), MOBIAMC has a netted membrane structure. Most rules are different from those used in BIAMC. The proposed algorithm applies no operation on keeping the uniformity and variety of candidate solution set or non-dominate solution set in the process of approaching to the true Pareto-optimal front due to its parallel and distributed computation. The comparisons with three multiobjective evolutionary algorithms illuminate that the proposed algorithm is simple and computes fast with high precision in approaching to the true Pareto-optimal fronts of eight benchmark multiobjective optimization functions. © 2012 IEEE.

关键词： Multiobjective optimization

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Market-driven profit optimization for tabular chemical reactors with genetic algorithms

Market-driven profit optimization for tabular chemical react...

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2012 IEEE Symposium on Robotics and Applications, ISRA 2012

作者： Qin, Hai-Peng Chen, Peng Lu, Yong-Zai Wu, Zhao-Li Chu, Jian State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China Department of Automation Shanghai Jiaotong University Shanghai 200023 China Department of Chemical and Biological Engineering Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9781467322072

With the uncertainty in the prices of feedstock, energy and finished products, the profit optimization plays a critical role in making a chemical production enterprise more dynamic and flexible to adapt the changes in global marketplace. This paper presents the development of profit optimization solution with an integration of profit model and model-based genetic algorithm (GA) optimization, and its industrial case study on an ethanolamine (EA) production line. The proposed methodology and solution may also be applied to other chemical manufacturing enterprises. © 2012 IEEE.

关键词： Ethanolamines

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Petri nets model of emergency control system for shipping

Petri nets model of emergency control system for shipping

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IEEE International Conference on Networking, Sensing and control

作者： Juan Zou Yong Wei Weimin Wu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China

An emergency control system for shipping is an indispensable part of the modern maritime operation system. Petri nets are useful for describing and studying information processing systems that are characterized as being concurrent, distributed parallel and asynchronous. In this paper, a generalized stochastic Petri net with finite capacity and inhibitor arc is exploited to model the emergency control system for shipping. The obtained model is analyzed using the software of PIPE. The analyzed results on modeling time and resource performance show that the obtained model is able to describe well the real physics system and provide some suggestion on improving the performance of the emergency control system for shipping.

关键词： Accidents Analytical models control systems Inhibitors Firing Fires Petri nets

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Parametric Mismatch Detection and Isolation in Model Predictive control System 1

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IFAC Proceedings Volumes 2012年第15期45卷 154-159页

作者： Hong Wang Zhihuan Song Lei Xie State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 Zhejiang China Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 Zhejiang China

Predictor that is built from the plant model, plays an important role in model predictive control system. The predictor should be updated timely to maintain certain calculation accuracy and performance optimality. In order to avoid unnecessary interruptions to production, however, updating should only be done when serious mismatch between the process and model appears. A novel method based on subspace approach is proposed to detect the mismatches using closed-loop operation data. The channels with mismatches in multi input multi output system are isolated. And some combinations of the mismatched parameters that have physical significance can be detected. These results provide useful information for the maintenance of model predictive control system. Simulations on a distillation process demonstrate the efficacy of the methodology.

关键词： parametric mismatch model predictive control subspace approach

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Prediction error method for identification of LPV models

Prediction error method for identification of LPV models

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作者： Zhao, Yu Huang, Biao Su, Hongye Chu, Jian State Key Lab. of Industrial Control Technology Institute of Cyber Systems and Control Zhejiang University Hangzhou China University of Alberta Department of Chemical and Material Engineering Edmonton AB T6G-2G6 Canada

This paper is concerned with identification of linear parameter varying (LPV) systems in an input-output setting with Box-Jenkins (BJ) model structure. Classical linear time invariant prediction error method (PEM) is extended to the LPV PEM. Under the new LPV framework, identification of two types of input-output LPV models is considered: one is based on parameter interpolation and the other is based on model interpolation. The effectiveness of the proposed solution is validated by comparison with other existing LPV identification approaches through simulation examples and demonstrated by experiment studies. © 2011 Elsevier Ltd. All Rights Reserved.

关键词： Interpolation

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Adaptive observer design for a class of MIMO nonlinear systems

Adaptive observer design for a class of MIMO nonlinear syste...

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World Congress on Intelligent control and Automation (WCICA)

作者： Lili Zhao Xiuliang Li Ping Li State Key Lab of Industrial Control Technology Institute of Industrial Process Control Zhejiang University 310027 China State Key Lab of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University 310027 China

For a class of uniformly observable nonlinear multi-input-multi-output (MIMO) systems with unknown parameters in both state and output equations, an adaptive observer is designed in a constructive manner based on the techniques of high gain observer and adaptive estimation. The high gain adaptive observer for joint state and unknown parameter estimation is conceptually simple. The new algorithm makes use of a time varying gain matrix for unknown parameter estimation, which simplifies the initialization and parameter tuning. In order to establish the global exponential convergence of the adaptive observer, a persistent excitation condition is required. Consequently, the global exponential convergence for simultaneous estimation of states and unknown parameters is formally established following a simple procedure. A numerical example is presented to illustrate the performance of this adaptive observer.

关键词： Equations Observers Adaptive systems Nonlinear systems Symmetric matrices Parameter estimation Mathematical model

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Extremal optimization for unit commitment problem for power systems

Extremal optimization for unit commitment problem for power ...

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IEEE General Meeting Power& Energy Society

作者： Jin Ding Yong-Zai Lu Jian Chu State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control University of Zhejiang Hangzhou China

This paper introduces extremal optimization (EO) method to solve unit commitment problem for power systems. EO is a local-search heuristic algorithm and originally developed from the fundamentals of statistical physics. In the implementation of EO for unit commitment (UC) problem, a novel problem-specific mutation operator is introduced and rule-based heuristic constraint-repairing techniques are devised. Simulation results on power systems which are composed of up to 100-units over a scheduling horizon of 24-hours demonstrate competitive performance with EO method compared with other existing methods for UC problem.

关键词： Spinning Indexes Power systems Fuels Cost function Power generation

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A comparative study of model plant mismatch measures for process monitoring

A comparative study of model plant mismatch measures for pro...

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第23届过程控制会议

作者： Hong Wang Lei Xie Zhihuan Song State Key Laboratory of Industrial Control Technology Institute ofIndustrial Process Control Zheji Institute of Cyber-Systems and Control Zhejiang UniversityHangzhou 310027 Zhejiang China

Model is usually necessary for the design of a control loop. Due to *** and unknown dynamics, model plant mismatch is inevitable in the control loop. In process monitoring, detection of the mismatch and evaluation of its *** are both demanded. In this paper we .rstly present several mismatch measures based on *** model descriptions. Then we categorize them into *** groups from *** perspectives and compare their potential in detection and diagnosis. A case study on a mixing process is presented and some remarks on related aspects are given.

关键词： model plant mismatch process monitoring control loop behavior

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Hysteretic optimization for the capacitated vehicle routing problem

Hysteretic optimization for the capacitated vehicle routing ...

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IEEE International Conference on Networking, Sensing and control

作者： Xiaobo Yan Weimin Wu Zhejiang University Hangzhou Zhejiang CN State Key Laboratory of Industrial Control Technology& Institute of Cyber-Systems and Control Zhejiang University Hangzhou China

Hysteretic optimization (HO) is a recently proposed heuristic physical optimization algorithm based on the well-known demagnetization process of magnetic materials in magnetism. The Capacitated Vehicle Routing Problem (CVRP) is an important variant of the vehicle routing problem which is one of the most important and intensively studied combinatorial optimization problems. In this study, we apply HO to the Capacitated Vehicle Routing Problem (CVRP), by generalizing the external field and endowing the configuration space with a proper distance. The experimental results with benchmark problems show the proposed method is competitive with other popular algorithms, such as particle swarm optimization, genetic algorithms.

关键词： Optimization Vehicles Routing Heuristic algorithms Demagnetization Magnetic hysteresis Benchmark testing

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