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Annual Conference of the IEEE Industrial Electronics Society

作者： Biao Zhang Wangli He The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology

ISBN: (纸本)9781479917631

This paper investigates consensus of nonlinear multi-agent systems with stochastic disturbances. By sampling signals from the leader agent at discrete instants, leader-following consensus in the mean square is achieved based on the theory of Ito stochastic differential equations and Lyapunov-Krasovskii functional stability theory with a sufficient condition derived. Then two special cases: 1) the transmittal delay is very small, which can be approximately regards as zero;2) the interconnections of agents are undirected are discussed, respectively. Finally, an example is given to verify the effectiveness of the theoretical results.

关键词： Sampled-data consensus Multi-agent systems Stochastic disturbances

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Combined Timetabling Procedure and Complete Local Search for No-Wait Job Shop Scheduling with Total Tardiness

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Journal of Donghua University(English Edition) 2014年第2期31卷 83-91页

作者：杨玉珍顾幸生 Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology

The strong non-deterministic polynomial-hard( NP-hard)character of job shop scheduling problem( JSSP) has been acknowledged widely and it becomes stronger when attaches the nowait constraint,which widely exists in many production processes,such as chemistry process, metallurgical process. However,compared with the massive research on traditional job shop problem,little attention has been paid on the no-wait ***,in this paper, we have dealt with this problem by decomposing it into two sub-problems, the timetabling and sequencing problems,in traditional frame work. A new efficient combined non-order timetabling method,coordinated with objective of total tardiness,is proposed for the timetabling problems. As for the sequencing one,we have presented a modified complete local search with memory combined by crossover operator and distance counting. The entire algorithm was tested on well-known benchmark problems and compared with several existing *** experiments showed that our proposed algorithm performed both effectively and efficiently.

关键词： job shop scheduling no-wait timetabling tardiness complete local search with memory

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

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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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Brief paper: controller dynamic linearisation-based model-free adaptive control framework for a class of non-linear system

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IET control Theory and Applications 2015年第7期9卷 1162-1172页

作者： Zhu, Yuanming Hou, Zhongsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China Advanced Control Systems Laboratory Beijing Jiaotong University Beijing China

Without the explicit process identification, the authors propose a model-free adaptive control framework for unknown plant by using the concept of equivalent dynamic linearisation controller. The controller has linear incremental structure and its local dynamics is equivalent to the ideal controller in theory. Hence, the problem of determining the structure of candidate controller is transformed to the problem of finding a sequence of local dynamic controllers to approximate the ideal controller. With the help of gradient information extracted from input and output (I/O) data of the plant, the optimal controller parameter sequence is generated by minimising a user-defined control criterion. This method gives a solution on how to determine the candidate controller structure. The controller design, parameter tuning and controller validation are based on I/O data of the plant. Hence, it could reduce the influence of internal disturbance or unmodelled dynamics. The effectiveness of the proposed method is illustrated by the simulation of a continuous polymerisation reaction process in a jacketed continuous stirred tank reactor system. Meanwhile, a simulation comparison is carried out to show the superiority of neural network data model in model-free adaptive control framework. © The Institution of Engineering and Technology 2015.

关键词： controllers

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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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An Observer-based Model Predictive control Strategy for Distributed Parameter System ∗

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IFAC-PapersOnLine 2015年第8期48卷 883-887页

作者： Meng Ling Wang Hongbo Shi Wen Yang East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Professes of the Ministry of Eduction Shanghai China

In this paper, an observer-based model predictive control (MPC) strategy is presented for distributed parameter systems (DPSs). First, principal component analysis (PCA) is used for dimension reduction by transforming the high-dimensional spatio-temporal data into a low-dimensional time domain. Then an observer is builded to estimate the low-dimensional temporal output using the real-time measurable spatiotemporal output. Finally, the MPC strategy is proposed based on the low-dimensional estimation models. Simulations demonstrate the accuracy and efficiency of the proposed methodologies.

关键词： Distributed parameter system model predictive control PCA time/space separation observer

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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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Modeling and optimization of feedstock allocation problem based on industrial cracking furnace system using an asynchronous updating differential evolution algorithm

Modeling and Optimization of feedstock allocation problem ba...

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第26届中国过程控制会议（CPCC2015）

作者： Lin Yue Feng Du WenLi Li JinLong Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

This paper introduces a practical optimization model of multiple cracking furnaces system with consideration of feedstock allocation. The goal of our work is to model this problem and to find the best allocation combination of feedstock to the cracking furnaces to maximize the profit of high-added-value production. Using artificial neural network(ANN) technique, the model can be formulated as a binary-integer nonlinear programming model. However, owing to the existence of integer variables and equality constraints, it's hard to be solved by traditional evolutionary ***, an asynchronous updating differential algorithm(AUDE) is proposed in this paper to better handle discrete variables. Finally, to test the effectiveness and robustness of the proposed algorithm, simulation results on benchmark problems and practical application case shows that the proposed algorithm is robust and capable of getting satisfactory optimization results when compared with the state-of-the art evolution algorithm.

关键词： Differential evolution feedstock allocation ethylene cracking furnace modeling asynchronous updating

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Batch process Monitoring with Higher Order Partial Least Squares

Batch Process Monitoring with Higher Order Partial Least Squ...

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第26届中国过程控制会议（CPCC2015）

作者： Nan Nan Jianping Wang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

Batch process data are essentially *** existing methods on batch process monitoring such as multiway partial least squares(MPLS)and multiway principal component analysis(MPCA)are based on unfolding procedure which represents three-way batch data as a vector in high-dimensional *** a result of destroying data structures,these methods may lead to information *** this article,batch data are considered as a third order tensor and HOPLS is introduced to deal with the data directly instead of performing unfolding procedure.A HOPLS-based online monitoring approach is developed and two new statistics:HO-SPE and HO-T2are constructed for fault detection and *** effectiveness of this approach is illustrated by a benchmark fed-batch penicillin fermentation *** comparison of monitoring results shows that the proposed approach is superior to MPLS,and it can achieve accurate detection of various types of process faults occurring in the batch operation.

关键词： higher order partial least squares multiway partial least squares batch process monitoring fault detection and diagnosis

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Robust optimization for a Multi-Product Integrated Problem of Planning and Scheduling under Products Uncertainty

Robust Optimization for a Multi-Product Integrated Problem o...

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作者： Mengwen Chen Cuiwen Cao Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

This paper presents robust optimization models for a multi-product integrated problem of planning and scheduling (based on the work of Terrazas-Moreno & Grossmann (2011) [1]) under products prices uncertainty. With the objective of maximizing the total profit in planning time horizon, the planning section determines the amount of each product, each product distributed to each market, and the inventory level in each manufacturing site during each scheduling time period;the scheduling section determines the products sequence, start and end time of each product running in each production site during each scheduling time period. The uncertainty sets used in robust optimization model are box set, ellipsoidal set, polyhedral set, combined box and ellipsoidal set, combined box and polyhedral set, combined box, ellipsoidal and polyhedral set. The genetic algorithm is utilized to solve the robust optimization models. Case studies show that the solutions obtained from robust optimization models are better than the solutions obtained from the original integrated planning and scheduling when the prices are changed.

关键词： Uncertainty,Robust optimization,Integrated Problem of Planning and Scheduling,GA

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