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Hybrid Discrete Harmony Search Algorithm for Flow Shop Scheduling with Limited Buffers

Journal of Donghua University(English Edition) 2014年第2期31卷 171-178页

作者：崔喆顾幸生 Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Scienceand Technology

The flow shop scheduling problem with limited buffers( LBFSP) widely exists in manufacturing systems. A hybrid discrete harmony search algorithm is proposed for the problem to minimize total flow time. The algorithm presents a novel discrete improvisation and a differential evolution scheme with the jobpermutation-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： multiproduct processes scheduling problem limited buffers total flow time harmony search

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Locust Behaved Particle Swarm optimization Technique

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Journal of Donghua University(English Edition) 2014年第2期31卷 190-196页

作者：钟伟民谢雪勤梁毅罗娜张娟钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

The collective behavior of certain animals and insects has the characteristic of self-organization. The simple interactions among individuals can produce complex adaptive patterns at the level of the group. Recently,new scientific investigation pointed out that desert locusts show extreme phenotypic plasticity in transforming between the lonely phase and the swarming gregarious phase depending on the population density,which is controlled by a serotonin called 5-hydroxytryptamine( 5HT). In this paper,based on the mechanism of the locusts' collective behavior,a new particle swarm optimization technique called LBPSO is studied. The number of swarms is selfadaptively adjusted by the acquired outstanding particles coming from behind the previous global best solution. The swarm sizes are related to the corresponding serotonin 5HT,which is determined by the optimization parameters such as global best and iteration number. And each swarm adopts one of three rules below according to its density, generalized social evolution strategy, generalized cognition evolution strategy and the independent moving strategy. A comparative study of LBPSO,social particle swarm optimization( SPSO), improved SPSO and the standard particle swarm optimization( StdPSO) on their abilities of tracking optima is carried out. And the results under four static benchmark functions and a dynamic function generator moving peaks benchmark( MPB)show that LBPSO outperforms the other three functions in both static and dynamic landscapes due to the introduced locusts' collective behavior.

关键词： evolutionary algorithm particle swarm optimization(PSO) locust collective behavior

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Model of independent component analysis with reference curve and its application in removing artifact from electroencephalograph

Model of independent component analysis with reference curve...

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2015 International Industrial Informatics and Computer Engineering Conference(IIICEC 2015)

作者： Lizhi Cui Zhihao Ling Josiah Poon Simon K.Poon Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology School of information technologies University of Sydney

This paper proposes a model named Independent Component Analysis with Reference Curve（ICARC） to extract and remove artifact signal from Electroencephalogram（EEG）.Firstly,an additional requirement and a priori information are introduced directly into the contrast function of the traditional ICA ***,an augmented Lagrangian function is formed based on this new ***,the iterative solution is calculated by using the Newton iterative *** simulations and experiments are implemented to indicate the performance of our model comparing with other *** results show that:1) more stable results are given by our model;2) higher precision is obtained in the results by the ICARC model.

关键词： Artifacts removal Electroencephalogram Independent Component Analysis with Reference Curve

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Permanent-magnet synchronous motor velocity control based on second-order integral sliding mode control algorithm

Permanent-magnet synchronous motor velocity control based on...

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作者： Qi, Liang Bao, Sheng Shi, Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Central Academe Shanghai Electric Group Co. Ltd Shanghai China School of Mechatronic Engineering and Automation Shanghai University Shanghai China

In this paper, a novel second-order integral sliding mode control (SOSMC) algorithm is proposed to accomplish velocity control of the permanent-magnet synchronous motor (PMSM) so that the performance can be improved. An integral manifold is utilized to reduce the static error during the sliding mode movement phase to improve the control precision, and a new SOSMC law is achieved by a Lyapunov function approach so the system convergence is guaranteed. The presented method can not only eliminate the system chattering problem successfully but also improve the performance of the PMSM control system. Meanwhile, in order to solve the problem of the windup phenomenon of the PMSM control system, an anti-windup control method is proposed in the PMSM control system. The simulation experimental results are given to indicate that the proposed method is effective and can improve the performance of the PMSM control system such as fast response, high robustness and speed tracking precision, etc. © The Author(s) 2013..

关键词： Lyapunov functions

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Stiction Quantification based on Time and Frequency Domain Criterions ∗

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IFAC-PapersOnLine 2015年第8期48卷 635-640页

作者： Chen Li Feng Qian M.A.A. Shoukat Choudhury Wenli Du Key Laboratory of Advanced Control and Optimization Ministry of Education East China University of Science and Technology Shanghai 200237 China Department of Chemical Engineering Bangladesh University of Engineering and Technology BUET Dhaka-1000 Bangladesh

Valve stiction is one of the most common causes for poor performance in industrial control loops. Therefore, a non-invasive method which can detect and quantify stiction is urgently needed in the process industry. Most of the current stiction estimation methods use time domain criterion, e.g. Mean Square Error, to jointly identify the stiction and process model parameters. However, stiction induced oscillation is a phenomenon which has some specific characteristics in the frequency domain. Thus, extracting frequency domain information in the routine operation data will provide a more reliable and accurate stiction estimation. In this work, under the framework of Hammerstein model identification and global optimization, a new stiction quantification method based on time and frequency domain criterions is proposed. Several simulation case studies are demonstrated to validate the proposed method.

关键词： Process monitoring Valve stiction Frequency domain analysis Global optimization

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A Hybrid Differential Evolution Algorithm Integrated with Particle Swarm optimization

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Journal of Donghua University(English Edition) 2014年第2期31卷 197-200页

作者：范勤勤颜学峰 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

To implement self-adaptive control parameters, a hybrid differential evolution algorithm integrated with particle swarm optimization （PSODE） is proposed. In the PSODE, control parameters are encoded to be a symbiotic individual of original individual, and each original individual has its own symbiotic individual. Differential evolution （ DE） operators are used to evolve the original population. And, particle swarm optimization （PSO） is applied to co-evolving the symbiotic population. Thus, with the evolution of the original population in PSODE, the symbiotic population is dynamically and self-adaptively adjusted and the realtime optimum control parameters are obtained. The proposed algorithm is compared with some DE variants on nine functious. The results show that the average performance of PSODE is the best.

关键词： differential evolution algorithm particle swann optimization self-adaptive co-evolution

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A New Sample-Selection and Modeling Method Based on Near-Infrared Spectroscopy and Its Industrial Application

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Journal of Donghua University(English Edition) 2014年第2期31卷 207-211页

作者：贺凯迅程辉钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

Near-infrared( NIR) spectroscopy has been widely employed as a process analytical tool( PAT) in various fields; the most important reason for the use of this method is its ability to record spectra in real time to capture process properties. In quantitative online applications,the robustness of the established NIR model is often deteriorated by process condition variations,nonlinear of the properties or the high-dimensional of the NIR data set. To cope with such situation,a novel method based on principal component analysis( PCA) and artificial neural network( ANN) is proposed and a new sample-selection method is mentioned. The advantage of the presented approach is that it can select proper calibration samples and establish robust model effectively. The performance of the method was tested on a spectroscopic data set from a refinery process. Compared with traditional partial leastsquares( PLS),principal component regression( PCR) and several other modeling methods, the proposed approach was found to achieve good accuracy in the prediction of gasoline properties. An application of the proposed method is also reported.

关键词： gasoline blending near-infrared spectroscopy sample selection modeling method

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Fault detection based on polygon area statistics of transformation matrix identified from combined moving window data

Fault detection based on polygon area statistics of transfor...

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第26届中国过程控制会议（CPCC2015）

作者： Bei Wang Xuefeng Yan Yongfei Jin Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Department of Mathematics East China University of Science and Technology

As a classic multivariate statistical method, principal component analysis(PCA) has been widely used in monitoring industrial processes, but it is still necessary to make improvements in having a timely and effective access to variation information. It is known that the transformation matrix generated from real-time PCA model indicates inner relations between original variables and new produced components, so this matrix would be different when some variables deviate from the original values area due to the change of the operating condition. Based on this theory, this paper proposes a novel real-time monitoring approach which utilizes polygon area method to measure the variation degree of the transformation matrices and then constructs a statistic for monitoring purpose. The on-line data are collected through a combined moving window(CMW), which contain normal and monitored data at the same time in order to distinguish the faulty data. To evaluate the performance of the proposed method, a simple numerical simulation and the classic Tennessee Eastman process are employed for illustration, with some PCA-based methods used for comparison.

关键词： principal component analysis combined moving window real-time process monitoring fault detection

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Robust Predictive control for Linear Systems with Frequency Domain Constraints

Robust Predictive Control for Linear Systems with Frequency ...

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第26届中国过程控制会议（CPCC2015）

作者： Jia Tinggang Wang Qingdong Shen Yuling Shanghai Electric Group Co. Ltd. Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education

Model predictive control(MPC)is one of the best control strategies for the linear systems with ***,the optimization problems are indeed looking for the fundamental design limitations of the control *** the present paper,we will extend the theory of the fundamental design limitations to multi-input and multi-output(MIMO)model predictive control *** MPC system is a typical system,which measured output are not consistent with predicted *** robust MPC problem proposed has some nice *** makes a good trade-off between the reference tracking and the disturbance attenuation by considering the frequency domain of the closed-loop *** optimal controller is explicitly formulated to free from computation burden for online application,which shows a good potential for industrial *** a numerical example is used to demonstrate the proposed design procedure.

关键词： Model predictive control Disturbance response fundamental design limitations frequency domain constraints

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Observer-based controller design for networked systems with multiple packet losses and mixed delay

Observer-based controller design for networked systems with ...

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第27届中国控制与决策会议

作者： Fengfeng Qian Huaicheng Yan Hongbo Shi Hao Zhang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education School of Information Science and Engineering East China University of Science and Technology Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University

The paper focuses on a stabilizing controller design problem for networked systems with quantization,mixed delays,and a series of packet losses due to the signal transmission through the unreliable communication *** of both sensor-to-controller and controller-to-actuator are taken into account for the networked systems,and the distributed time delay is also considered in the network *** conditions for designing the controller as well as the system parameters can be obtained by solving certain linear matrix ***,the effectiveness of the designed method is proved by a numerical example.

关键词： quantization,mixed delays,multiple packet losses

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