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European control Conference (ECC)

作者： Joel A. Paulson Davide M. Raimondo Rolf Findeisen Richard D. Braatz Stefan Streif Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA USA University of Pavia Identification and Control of Dynamic Systems Laboratory Italy Otto-von-Guericke-University Magdeburg Institute of Automation Engineering Germany

ISBN: (纸本)9781479947287

An input design method is presented to actively isolate faults for polynomial or rational systems in the presence of unknown-but-bounded uncertainties. For active fault isolation, the input is required to lead to outputs consistent with at most one fault model despite disturbances, measurement noise, and parametric uncertainty. This task is posed in terms of a bilevel optimization problem where the inner program verifies, for a given input, that the outputs are consistent with at most one model, while the outer program determines the minimally harmful input. Because of the nonlinear dynamics, we propose to replace the inner program with a convex relaxation that can be efficiently solved while still guaranteeing fault detection and isolation. The approach is numerically demonstrated on a two-tank system with three fault models.

关键词： Robustness Uncertainty Fault diagnosis Mathematical model Noise Noise measurement Optimization

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A Tuning Approach for Offset-free MPC with Conditional Reference Adaptation

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IFAC Proceedings Volumes 2014年第3期47卷 3062-3067页

作者： Harald Waschl John Bagterp Jørgensen Jakob Kjøbsted Huusom Luigi del Re Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Austria Department of Applied Mathematics and Computer Science Technical University of Denmark Denmark Department of Chemical and Biochemical Engineering Technical University of Denmark Denmark

Model predictive control has become a widely accepted strategy in industrial applications in the recent years. Often mentioned reasons for the success are the optimization based on a system model, consideration of constraints and an intuitive tuning process. However, as soon as unknown disturbances or model plant mismatch have to be taken into account the tuning effort to achieve offset-free tracking increases. In this work a novel approach for offset-free MPC is presented, which divides the tuning in two steps, the setup of a nominal MPC loop and an external reference adaptation. The inner nominal loop addresses the performance targets in the nominal case, decouples the system and essentially leads to a first order response. The second outer loop enables offset-free tracking in case of unknown disturbances and consists of feedback controllers adapting the reference. Due to the mentioned properties these controllers can be tuned separate and by known guidelines. To address conditions with active input constraints, additionally a conditional reference adaptation scheme is introduced. The tuning strategy is evaluated on a simulated linear Wood-Berry binary distillation column example.

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Active data based Gaussian process models for nonlinear spatiotemporal systems

Active data based Gaussian process models for nonlinear spat...

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World Congress on Intelligent control and Automation (WCICA)

作者： Pei Sun Lei Xie Junghui Chen Institute of Cyber-Systems and Control Zhejiang University Hangzhou Zhejiang China Department of Chemical Engineering Chung-Yuan Christian University Taiwan R.O.C.

A new data-driven system identification method, called KL-GP, is proposed for spatiotemporal system. It combines Karhunen-Loève (KL) decomposition and Gaussian process (GP) models. As the nonlinear spatial-temporal spatiotemporal system has strong spatiotemporal characteristics, KL decomposition with good characteristics is employed for time/space separation and dimension reduction. Then the spatiotemporal output is expanded onto a low-dimensional KL space with temporal coefficients. GP models are employed to build up the temporal relation using these coefficients. In addition, a healthy spatial-temporal model that has accuracy predictions is always unknown in practice. GP provides an estimate of the variance of its predicted output. Using this characteristic, active data in the spatiotemporal system region can be found out for the model improvement. This enables the spatiotemporal system model to be updated without high computational demand. Simulation results of spatiotemporal system are presented to demonstrate the effectiveness of this KLGP modeling method.

关键词： Spatiotemporal phenomena Predictive models Data models Computational modeling Training data Gaussian processes Training

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Adaptive Cubature Strong Tracking Information Filter Using Variational Bayesian Method

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IFAC Proceedings Volumes 2014年第3期47卷 5945-5950页

作者： Quanbo Ge Chenglin Wen Shaodong Chen Ruoyu Sun Yuan Li Institute of Systems Science and Control Engineering School of Automation Hangzhou Dianzi University Hangzhou Zhejiang 310018 China Luoyang Institute of Electro Optical Equipment of AVIC Luoyang Henan 471000 China Department of Electrical and Computer Engineering University of Minnesota Minneapolis Minnesota 55414 USA Information Engineering School Shenyang University of Chemical Technology Shenyang Liaoning 100142 China

For most practical nonlinear state estimation problems, the conventional nonlinear filters do not usually work well for some cases, such as inaccurate system model, sudden change of state-interested and unknown variance of measurement noise. In this paper, an adaptive cubature strong tracking information filter using variational Bayesian (VB) method is proposed to cope with these complex cases. Firstly, the strong tracking filtering (STF) technology is used to integrally improve performance of cubature information filter (CIF) aiming at the first two cases and an iterative scheme is presented to effectively evaluate a strong tracking fading factor. Secondly, the VB method is introduced to iteratively evaluate the unknown variance of measurement noise. Finally, the novel adaptive cubature information filter is obtained by perfectly combining the STF technology with the VB method, where the variance estimation provided by the VB method guarantees normal running of the strong tracking functionality.

关键词： Nonlinear system unknown variance of measurement noise cubature information filter strong tracking filtering variational Bayesian

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Optimal selection of the decomposition structure based on GA for distributed model predictive control systems

Optimal selection of the decomposition structure based on GA...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xing Cai Lei Xie Pengcheng Lu Junghui Chen Institute of Cyber-Systems and Control Zhejiang University Hangzhou Zhejiang China Department of Chemical Engineering Chung-Yuan Christian University Chung-Li Taiwan R.O.C

A novel approach based on Genetic algorithm (GA) is proposed to find out the optimal decomposition structure for distributed model predictive control (DMPC) systems. The decomposition problem of DMPC requires a proper definition of the decomposition index and an efficient algorithm to solve the optimal decomposition optimization problem. In this paper, a new decomposition index representing both the coupling of subsystems and the communication load is defined. Besides, GA is utilized to solve the specific decomposition problem. To generate a new population for the improvement of the DMPC decomposition structure, the GA operators, including coding, selection, mutation and intercross of GA, are proposed to achieve the minimal coupling and the low communication load among subsystems. Finally, a ten-by-ten system is presented to demonstrate the effectiveness of the proposed algorithm.

关键词： Genetic algorithms Couplings Sociology Statistics Matrix decomposition Linear programming Algorithm design and analysis

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Identification of linear parameter varying systems with missing output data using generalized expectation-maximization algorithm 19

Identification of linear parameter varying systems with miss...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Yang, X. Xiong, W. Huang, B. Gao, H. Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang150080 China Jiangnan University Wuxi Jiangsu214122 China Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G 2G6 Canada Research Institute of Mechatronics and Automation Bohai University Jinzhou121013 China

ISBN: (纸本)9783902823625

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. © IFAC.

关键词： Parameter estimation

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Distributed Estimation over Analog Fading Channels Using Constant-Gain Estimators

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IFAC Proceedings Volumes 2014年第3期47卷 2872-2877页

作者： Nan Xiao Lihua Xie Yugang Niu Yiguang Hong Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education Shanghai 200237 China EXQUISITUS Centre for E-City School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China

This paper considers the distributed estimation of an unstable target via constant-gain estimators under local communications and channel fading. The communication graph is assumed to be fixed and undirected, and the channel fading is assumed to be identical. Necessary and sufficient conditions on communication network over which the state of the unstable target can be estimated in the mean square sense are given for both continuous-time and discrete-time cases, which reveal the fundamental limitation on distributed estimation induced by local communications, channel fading, and target dynamics. In addition, our results for the case without channel fading and the case with separate communications are consistent with the results in the literature.

关键词： Analog fading channel constant-gain estimator distributed estimation mean square detectability

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Phototherapy: Metal–Organic‐Framework‐Derived Mesoporous Carbon Nanospheres Containing Porphyrin‐Like Metal Centers for Conformal Phototherapy (Adv. Mater. 38/2016)

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Advanced Materials 2016年第38期28卷

作者： Shunhao Wang Lu Shang Linlin Li Yingjie Yu Chongwei Chi Kun Wang Jie Zhang Run Shi Heyun Shen Geoffrey I. N. Waterhouse Sijin Liu Jie Tian Tierui Zhang Huiyu Liu Beijing Key Laboratory of Bioprocess Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing Laboratory of Biomedical Materials Beijing University of Chemical Technology Beijing 100029 P. R. China Key Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco‐Environmental Sciences Chinese Academy of Sciences Beijing 100085 P. R. China University of Chinese Academy of Sciences Beijing 100049 P. R. China Beijing Institute of Nanoenergy and Nanosystems National Center for Nanoscience and Technology (NCNST) Chinese Academy of Sciences Beijing 100083 P. R. China Department of Materials Science and Engineering State University of New York at Stony Brook Stony Brook NY 11790 USA Key Laboratory of Molecular Imaging The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 P. R. China School of Chemical Sciences The University of Auckland Auckland 1142 New Zealand

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Communication and control co-design for wireless sensor networked control systems

Communication and control co-design for wireless sensor netw...

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World Congress on Intelligent control and Automation (WCICA)

作者： Jinna Li Peng Zeng Xuejun Zong Meng Zheng Xiaoling Zhang Lab of Operation and Control Shenyang Shenyang University of Chemical Technology Liaoning P. R. China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Liaoning P. R. China College of Information Engineering Shenyang University of Chemical Technology Liaoning P.R. China

This paper is concerned with communication and control co-design for wireless sensor networked control system (WSNCS) with time-varying delay. Jointly designing communication and control is an attractive paradigm for WSNCS, since the control performance of WSNCS is high sensitive to resource-constrained communication networks. The main idea of devised scheme is searching an optimal event-triggered transmission condition on the premise that wireless link capacity constraint is satisfied and stability of systems is guaranteed. The main aim of devised scheme is to greatly optimize control performance of WSNCS. First, two wireless network architectures characterized by multi-hop and star topology are put forward. Secondly, a model of WSNCS with event-triggered transmission mechanism is constructed. It is followed by stability analysis of WSNCS to obtain the asymptotical stability condition of systems. And then a search algorithm is presented for communication and control co-design. Finally, numerical examples are given to illustrate the effectiveness of the proposed method.

关键词： Wireless sensor networks Wireless communication Networked control systems Spread spectrum communication Network topology Topology

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Dip Coating of Nano Hydroxyapatite on Titanium Alloy with Plasma Assistedγ-Alumina Buffer Layer:A Novel Coating Approach

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Journal of Materials Science & Technology 2013年第6期29卷 557-564页

作者： M.Khalid M.Mujahid A.Nusair Khan R.S.Rawat School of Chemical and Materials Engineering National University of Sciences and TechnologySector H-12IslamabadPakistan Institute of Industrial Control Systems RawalpindiPakistan NSSE National Institute of EducationNanyang Technological UniversitySingapore

This paper reported a novel coating approach to deposit a （HA） film on Ti6Al4V alloy with Al2O3 buffer layer for thin, crack free and nano-structured hydroxyapatite biomedical implants. The Al2O3 buffer layer was deposited by plasma spraying while the HA top layer was applied by dip coating technique. The X-ray diffraction （XRD） and Raman reflections of alumina buffer layer showed α- to γ-Al2O3 phase transformation; and the fractographic analysis of the sample revealed the formation of columnar grains in well melted splats. The bonding strength between Al2O3 coating and Ti6Al4V substrate was estimated to be about 40 MPa. The presence of dip coated HA layer was confirmed using XRD, scanning electron microscopy （SEM） and energy dispersive X-ray spectroscopy （EDX） analysis. The SEM images exhibited that HA top layer enveloped homogenously the troughs and crests of the underneath rough （Ra = 2.91 μm） Al2O3 surface. It is believed that the novel coating approach adopted might render the implant suitable for rapid cement-less fixation as well as biocompatible for longer periods.

关键词： Ti6Al4V alloy Biomaterials Buffer layer Ceramic coatings

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