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8th International Symposium on Advanced control of Chemical Processes, ADCHEM 2012

作者： Wang, Hong Song, Zhihuan Xie, Lei 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

ISBN: (纸本)9783902823052

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. © 2012 IFAC.

关键词： Model predictive control

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An backbone guided extremal optimization method for solving the hard maximum satisfiability problem

An backbone guided extremal optimization method for solving ...

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2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012

作者： Zeng, Guoqiang Zheng, Chongwei Zhang, Zhengjiang Lu, Yongzai College of Physics and Electronic Information Engineering Wenzhou University Wenzhou 325035 China State Key Laboratory of Industrial Control Technology Institute of Cyber-systems and Control Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9789491216008

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. © The Authors.

关键词： Stochastic systems

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On designing time-delay feedback controller for master-slave synchronization of singular Lur'e systems

On designing time-delay feedback controller for master-slave...

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2012 International Conference on Modelling, Identification and control, ICMIC 2012

作者： Ji, Xiaofu Zu, Ceng Su, Hongye School of Electrical and Information Engineering Jiangsu University Zhenjiang 212013 China National Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9780956715715

This paper is concerned with the problem of designing a time-delay output feedback controller for the master-slave synchronization of singular Lur'e systems. Based on the generalized Lyapunov-Krasovskii functional theory, a new delay-dependent synchronization criterion is derived by dividing the time delay into two intervals and designing different energy functions in each interval. The controller design algorithm is also given in terms of strict linear matrix inequality. A numerical example is used to illustrate the effectiveness of the design method. © 2012 Huazhong Univ of Sci & Tec.

关键词： Time delay

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Improved LQG benchmark for control performance assessment on ARMAX model process *

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IFAC Proceedings Volumes 2012年第15期45卷 314-319页

作者： Zhe Liu Hong-ye Su Lei Xie Yong Gu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 Zhejiang China

control performance assessment for MPC systems has attracted a lot of interest in recent years. Compared with the typical MVC benchmark, the LQG benchmark gives a pragmatic assessment result. Based on the traditional LQG benchmark, the equigrid approach can improve the regression performance. In addition to the numerical algorithm, the recursive algorithm and the analytical algorithm were introduced to analyze the essential relationship in the LQG benchmark, which can save the computing cost and improve the regression effect. Based on the ARMAX model, the detailed procedures for these algorithms were discussed. In the simulation to a SISO process and a MIMO process, the different types of LQG benchmarks were calculated.

关键词： control performance assessment MPC LQG benchmark equigrid

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A minimum entropy approach for multiple-model estimation

A minimum entropy approach for multiple-model estimation

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15th International Conference on Information Fusion, FUSION 2012

作者： Han, Shen-Tu Xue, An Ke Peng, Dong Liang State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control Zhejiang University Hang Zhou 310027 China Institution of Information and Control Hangzhou Dianzi University Hang Zhou 310018 China

ISBN: (纸本)9780982443859

Multiple-model (MM) methods are effective in handling mode uncertainties and the variable structure multiple-model (VSMM) approach is one technique of the state of art. However, designing a better model set adaptive (MSA) mechanism is still a challenging problem both in theory and practice. In this paper, we present new theoretical analysis to evaluate the quality of model sequence sets in a nested structure which implies a principle - to find effective model sequence sets with the smallest size if the risk of missing real modes is small enough. A minimum entropy multiple-model (MEMM) approach is proposed to calculate the model sets with minimum Shannon entropy through feed back the online information into the fusion center. Sub-optimal MEMM algorithms are also designed with a particle filter. An example of maneuvering target tracking is considered in simulations. The proposed algorithms are compared to several existing VSMM algorithms and the results show that the MEMM algorithms are robust and effective in both estimation precision and converging rate. © 2012 ISIF (Intl Society of Information Fusi).

关键词： Target tracking

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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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Notes on sliding mode control of two-level quantum systems

Notes on sliding mode control of two-level quantum systems

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作者： Dong, Daoyi Petersen, Ian R. School of Engineering and Information Technology University of New South Wales at the Australian Defence Force Academy Canberra ACT 2600 Australia Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China

In [Dong, D. and Petersen, I.R. (2012). Sliding mode control of two-level quantum systems. Automatica, 48, 725-735], a sliding mode control approach has been proposed for two-level quantum systems to deal with bounded uncertainties in the system Hamiltonian. This paper further extends these results in two directions. One extension is to consider the effect of uncertainties during the process of driving the system's state back to the sliding mode domain from outside and we propose two approaches to accomplish this control task. The other extension generalizes the previous design approach to consider uncertainties described as perturbations in the free Hamiltonian. © 2012 Elsevier Ltd. All rights reserved.

关键词： Sliding mode control

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Sliding mode control of two-level quantum systems

Sliding mode control of two-level quantum systems

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作者： Dong, Daoyi Petersen, Ian R. School of Engineering and Information Technology University of New South Wales Australian Defence Force Academy Canberra ACT 2600 Australia Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China

This paper proposes a robust control method based on sliding mode design for two-level quantum systems with bounded uncertainties. An eigenstate of the two-level quantum system is identified as a sliding mode. The objective is to design a control law to steer the system's state into the sliding mode domain and then maintain it in that domain when bounded uncertainties exist in the system Hamiltonian. We propose a controller design method using the Lyapunov methodology and periodic projective measurements. In particular, we give conditions for designing such a control law, which can guarantee the desired robustness in the presence of the uncertainties. The sliding mode control method has potential applications to quantum information processing with uncertainties. © 2012 Elsevier Ltd. All rights reserved.

关键词： Sliding mode control

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Research on the TRF model for states observing and feedback of process production systems

Research on the TRF model for states observing and feedback ...

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第23届过程控制会议

作者： ZHU Wei ZHU Feng RONG Gang State Key Laboratory of Industrial Control Technology Institute of Cyber-System and ControlZhejian State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control Zhejia

For very long period, most of the research activities in the community have always focused on methods for multiple leveled decisions and optimizations. The aimed issues of these methods ranged from a single process to SCM, as well as goals under EWO that is now catching more and more attentions. Concretely, at the production section, these researches usually pay great efforts for mathematic modeling and/or computing methods for complex operations, such as multi-product and/or multi-purpose planning, scheduling and control optimization. However, few researches have pay attentions at and uncover the important issues about states observing, feedback as well as tracing at plant-wide and/or enterprise-wide, where some real difficult problems have been perplexing the effectiveness and practicability of P-MES (MES for process industry) hitherto. With the guidance under thoughts from EWO, the research presented here is aiming at this nearly neglected challenge that including great practical meanings. In this paper, the complex structure and characteristics of production systems as well as decomposition and aggregation relationships between the production system and computer integrated manufacturing systems (CIMS) are analyzed with the view-angle of multi-scale method. With important concepts employed in this paper, including key feedback parameters (KFP) as well as the fusing and the tracing aggregation of the feedback data/information, a kind of innovative model called TRF(tracking, representing and tracing) model and its key theoretical methods are promoted for production states observing and feedback. Analysis upon these key methods and their modeling mechanisms show that TRF model could effectively response to structural dynamics of the complex production material flows, which is essentially difficult for P-MES using the general model. Based on this proposal, TRF model could construct states observing and feedback mechanism of production systems effectively and efficien

关键词： Extended PSE CIMS P-MES TRF dynamic model modeling methods

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An Backbone Guided Extremal Optimization Method for Solving the Hard Maximum Satisfiability Problem

An Backbone Guided Extremal Optimization Method for Solving ...

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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

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

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