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Novel control Vector Parameterization Method with Differential Evolution Algorithm and Its Application in Dynamic optimization of chemical processes

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Chinese Journal of chemical Engineering 2013年第1期21卷 64-71页

作者：孙帆钟伟民程辉钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes (Ministry of Education) East China University of Science and Technology Department of Automation East China University of Science and Technology

Two general approaches are adopted in solving dynamic optimization problems in chemical processes, namely, the analytical and numerical methods. The numerical method, which is based on heuristic algorithms, has been widely used. An approach that combines differential evolution （DE） algorithm and control vector parameteri- zation （CVP） is proposed in this paper. In the proposed CVP, control variables are approximated with polynomials based on state variables and time in the entire time interval. Region reduction strategy is used in DE to reduce the width of the search region, which improves the computing efficiency. The results of the case studies demonstrate the feasibility and efficiency of the oroposed methods.

关键词： control vector pararneterization differential evolution algorithm dynamic optimization chemical processes

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Analytical design of centralized PI controller for high dimensional multivariable systems

Analytical design of centralized PI controller for high dime...

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10th IFAC Symposium on Dynamics and control of process Systems, DYCOPS 2013

作者： Chen, Qiang Luan, Xiaoli Liu, Fei Key Laboratory for Advanced Process Control of Light Industry of the Ministry of Education Institute of Automation Jiangnan University Wuxi 214122 China

ISBN: (纸本)9783902823595

This paper presents a simple analytical method for the design of full matrix PI controller based on the direct synthesis approach. By proposing the practically desired closed-loop diagonal transfer function to reduce interactions between individual loops, analytical expressions for PI controller are derived for several common types of process models, including first order plus time delay models and second order plus time delay models. Compared with the existing direct synthesis approaches, the proposed controller design method requires no approximation of the inverse of process model or Maclaurin's series expansion. Furthermore, it is applicable to high dimensional multivariable systems with satisfactory performance and robustness. Several examples are introduced to demonstrate the effectiveness and simplicity of the design method. © IFAC.

关键词： Multivariable systems

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Automatic Sleep Stage Classification for Daytime Nap Based on Hopfield Neural Network

Automatic Sleep Stage Classification for Daytime Nap Based o...

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第25届中国控制与决策会议

作者： Xi Chen Bei Wang Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education School of Information Science and Engineering East China University of Science and Technology

ISBN: (纸本)9781467355339

In this study, automatic method of sleep stage classification for daytime nap is investigated. The ultimate objective is to identify the changing of sleep level during one's nap. The sleep data is recorded according to the polysomnographic (PSG) measurement. The Electroencephalograph (EEG) is analyzed for sleep stage classification. Totally, 4 parameters are selected and calculated for each 20-second segment of EEG data. The main method is based on Hopfield Neural Network (HNN). The neural network is trained by using standard mode. The sleep stages are classified based on HNN for each consecutive segment. The obtained result showed about 80.6% consistence comparing with the visual inspection. The automatic classification results indicated the changing of sleep level during nap, which can be useful for daytime nap sleep evaluation.

关键词： Sleep Stage Determination, Daytime Nap, EEG, Hopfield Neural Network

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Identification of Linear Parameter Varying Systems with Missing Output Data Using Generalized Expectation-Maximization Algorithm

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IFAC Proceedings Volumes 2014年第3期47卷 9364-9369页

作者： X. Yang W. Xiong B. Huang H. Gao Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang 150080 China Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi Jiangsu 214122 China Department of Chemical and Materials Engineering University of Alberta Edmonton Alberta T6G 2G6 Canada Research Institute of Mechatronics and Automation Bohai University Jinzhou 121013 China and Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang 150080 China

This paper is concerned with the identification problems of linear parameter varying (LPV) systems with randomly missing output data. Since one local linearized model cannot capture the global dynamics of the nonlinear industrial process, the multiple-model LPV model in which the global model is constructed by smoothly weighted combination of multiple local models is considered here. The problem of missing output variables data is commonly encountered in practice. In order to handle the multiple-model identification problems of LPV systems with incomplete data, the local model is taken to have a finite impulse response (FIR) model structure and the generalized expectation-maximization (EM) algorithm is adopted to estimate the unknown parameters of the global LPV model. To avoid the problems of ill-conditioned matrices and high sensitivity of parameters to noise, the prior information on the coefficients of each local FIR model is employed to construct the prior probability of unknown parameters. Then the maximum a posteriori (MAP) estimates of the global model parameters are derived via the generalized EM algorithm. The numerical example is presented to demonstrate the effectiveness of the proposed method.

关键词： Linear parameter varying systems Generalized EM algorithm Missing output data Maximum a posteriori estimates

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An improved discrete artificial bee colony algorithm for hybrid flow shop problems

Communications in Computer and Information Science

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Communications in Computer and Information Science 2013年 355卷 294-302页

作者： Cui, Zhe Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai 200237 China

Being a typical NP-hard combinatorial optimization problem, the hybrid flow shop (HFS) problem widely exists in manufacturing systems. In this paper, we firstly establish the model of the HFS problem by employing the vector representation. Then an improved discrete artificial bee colony (IDABC) algorithm is proposed for this problem to minimize the makespan. In the IDABC algorithm, a novel differential evolution and a modified variable neighborhood search are studied to generating new solutions for the employed and onlooker bees. The destruction and construction procedures are utilized to obtain solutions for the scout bees. The simulation results clearly imply that the proposed IDABC algorithm is highly effective and efficient as compared to six state-of-the-art algorithms on the same benchmark instances. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Manufacture

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Sliding Mode control for Uncertain Switched Systems with State and Input Delay

Sliding Mode Control for Uncertain Switched Systems with Sta...

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第三十二届中国控制会议

作者： Yonghui Liu Yugang Niu Yuanyuan Zou Key Laboratory of Advanced Control and Optimization for Chemical Process(East China University of Science and Technology)Ministry of Education

ISBN: (纸本)9781479900305

This paper considers sliding mode control for a class of uncertain switched systems with state and input *** employing a weighted sum of the input matrix,a common sliding surface is designed and the corresponding sliding mode dynamics is *** guarantee the asymptotic stability of the sliding motion,a switching signal based on the min-projection strategy is ***,it is shown that the state trajectories can be driven onto the specified sliding surface despite the presence of state and input delay and external ***,a numerical example is given to demonstrate the effectiveness of the proposed method.

关键词： switched systems sliding mode control input delay multiple Lyapunov functions

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Feed property identification of ethylene cracking based on improved fuzzy C-mean clustering algorithm

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Huagong Xuebao/CIESC Journal 2013年第12期64卷 4366-4372页

作者： Li, Jiawen Du, Wenli Li, Jinlong Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

In ethylene cracking process, the changes of feed have many kinds, and due to its expensive feed analyzer, little industrial site equips with it, so online recognition of oil property is important to achieve cracking online optimization. As the traditional fuzzy C-means algorithm is based on the membership of the strike Euclidean distance, the algorithm contains only the mean center, bringing the unity of clustering results. To take full advantage of effective information of cracking feed, this paper proposes a fuzzy membership set method based on hybrid probabilistic model, namely through the establishment of Gaussian mixture model to achieve describing the probability distribution of clustering sample's affiliation, and use EM algorithm to estimate the model parameter's pole maximum likelihood. The algorithm can not only consider mean center of the sample, but also effectively use sample covariance and the weight coefficient information for mode discrimination. Finally, the simulation is based on classic IRIS data clustering and ethylene cracking feedstock identification, verifying the method described in this paper in the index of dunn and Xiebieni is better than fuzzy C-means clustering algorithm, showing that the method is effective. © All Rights Reserved.

关键词： Clustering algorithms

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Modeling and optimization for ethylene cracking furnace systems scheduling with consideration of changing feedstock

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Huagong Xuebao/CIESC Journal 2013年第12期64卷 4304-4312页

作者： Shang, Baopeng Du, Wenli Jin, Yangkun Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

An ethylene plant employs multiple cracking furnaces in parallel to convert various hydrocarbon feedstocks to smaller hydrocarbon molecules. The continuous operational performance of cracking furnaces gradually decays because of coke formation in the reaction coils, which requires each furnace to be periodically shut down for decoking. Given multiple feeds and different cracking furnaces as well as various product prices and manufacturing costs, the operational scheduling for the entire furnace system should be optimized to achieve the best economic performance. In this paper, a new MINLP(mixed-integer nonlinear programming) model is developed to obtain cyclic scheduling strategies for cracking furnace systems. Compared to previous studies, the new model has more capabilities to address operation profitability of multiple feeds cracked in multiple furnaces. Meanwhile, solving the problem of the choice for the right time of changing feedstock in the process of cracking furnace, case studies demonstrate the efficacy of the developed methodology. © All Rights Reserved.

关键词： Feedstocks

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Sufficient and Necessary Condition of Admissibility for Fractional-order Singular System

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自动化学报 2013年第12期39卷 2160-2164页

作者： YU Yao JIAO Zhuang SUN Chang-Yin School of Automation Electrical Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education Beijing 100083 China Beijing Institute of Elec- tronic System Engineering Beijing 100854 China

这份报纸与顺序为部分顺序的单个系统集中于考虑条件吗？(0， 1 ) 。整齐的定义，没有推动并且考虑被给第一，然后，为部分顺序的单个系统的考虑的一个足够、必要的条件被建立。一个数字例子被包括说明建议条件。

关键词：奇异系统分数阶充要条件可容许充分必要条件

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Synchronization of Nonlinear Coupled Networks with Time-delay via Distributed Impulsive control

Synchronization of Nonlinear Coupled Networks with Time-dela...

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第三十二届中国控制会议

作者： ZHANG Hao FENG Gang YAN Huaicheng CHEN Qijun Department of Control Science and Engineering Tongji University Department of Mechanical & Biomedical Engineering City University of Hong Kong Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education School of Information Science and Engineering East China University of Science and Technology

ISBN: (纸本)9781479900305

In this paper,the synchronization of a nonlinear network with time-varying coupling delay is investigated via distributed impulsive *** objective is to design the distributed impulsive controller with minimum coupling strength such that the nonlinear network with coupling delay is globally exponentially *** sufficient conditions have been derived based on Lyapunov-Razumikhin method in terms of matrix *** example is presented to illustrate the effectiveness of the proposed control methods.

关键词： Global exponential synchronization Distributed impulsive control Time-varying delay Coupled network

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