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IEEE Conference on Decision and control

作者： Chunlin Chen Gerasimos G. Rigatos Daoyi Dong James Lam State Key Laboratory for Novel Software Technology Nanjing University China Unit of Industrial Automation Industrial Systems Institute Rion Greece State Key Laboratory of Industrial Control Technology Zhejiang University and the School of Engineering and Information Technology University of New South Wales Canberra ACT Australia Department of Mechanical Engineering University of Hong Kong Hong Kong China

ISBN: (纸本)9781424438716

A partial feedback control scheme with a probabilistic fuzzy estimator (PFE) is presented for the robust control of quantum systems. In this scheme, a probabilistic fuzzy simulator is trained to estimate the quantum states for feedback control of quantum systems. Usually, the estimated state is fed back to design a controller. However, when the estimated quantum state is an almost-eigenstate, a projective measurement will be triggered for the quantum system and the measurement results will be fed back to construct the controller and regulate the fuzzy estimator. This scheme is a partial feedback strategy with controlled discontinuous measurement, where the quantum measurement serves as a control tool and is helpful for driving the quantum system to a desired state tracking even in the presence of unknown disturbances and stochastic noises. An example of a two-spin-¿ system is also presented to demonstrate the proposed approach.

关键词： Feedback control Fuzzy control Fuzzy systems state estimation control systems Noise measurement Robust control state feedback Stochastic systems Stochastic resonance

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Novel robust PID design method for uncertain system

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Huagong Xuebao/CIESC Journal 2009年第1期61卷 118-121页

作者： Xu, Zuhua Zhao, Jun Qian, Jixin State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 China

A novel robust PID design method is presented in this paper. This method gets the reasonable PID controller parameters based on min-max principle, which can guarantee the control quality when the model varies in a certain range, decrease the sensitivity to the model uncertainty and increase the robustness of the closed-loop system. Since the min-max problem is not computationally tractable, the authors address this problem by first deriving an upper bound on the robust performance objective and then translating the min-max problem into the minimization problem with the upper bound on the worst-case objective. The paper proves the robust stability of the PID design method. The simulation result of CSTR problem is given to demonstrate the effectiveness of the robust PID design method.

关键词： Three term control systems

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A fault detection method based on DLPP for dynamic processes

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and technology (Natural Science Edition) 2009年第SUPPL. 1期37卷 62-65页

作者： Zhang, Muguang Song, Zhihuan Institute of Industrial Control Zhejiang University Hangzhou 310027 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China

In order to handle the fault detection problem for dynamic processes, a novel method named as DLPP (dynamic locality preserving projections) was proposed, which was based on LPP (locality preserving projections) and extending matrix. Compared with DPCA (dynamic principal component analysis), the new method can capture the low-dimensional manifold information hidden in the process data and build more accurate model. In this study, first we chose the proper value of dynamic step for constructing extending matrix;then the LPP algorithm was used to extract information and divide extending matrix space into two parts: feature space and residual space;finally, T2 and SPE (squared prediction error) statistics corresponding to these two spaces were built to monitor the process. A case study of TE (Tennessee Eastman) process illustrated the efficiency of the proposed method.

关键词： Error statistics

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Semi-supervised Drug-Protein Interaction Prediction from Heterogeneous Spaces

Semi-supervised Drug-Protein Interaction Prediction from Het...

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第三届最优化与系统生物学国际研讨会

作者： Zheng Xia Xiaobo Zhou Youxian Sun Ling-Yun Wu State Key Lab of Industrial Control Technology Zhejiang University Center for Biotechnology & Informatics and Department of Radiology The Methodist Hospital Reseach InstituteWeill Medical CollegeCornell UniversityHoustonTX 77030USA Institute of Applied Mathematics Academy of Mathematics and Systems ScienceChinese Academy of Sciences

Predicting drug-protein interactions from heterogeneous biological data sources is a key step for in silico drug *** difficulty of this prediction task lies in the rarity of known drug-protein interaction while myriad unknown interactions to be *** meet this challenge,a manifold regularization semi-supervised learning method is presented to tackle this issue by using labeled and unlabeled information which often gives better results than using the labeled data ***,our semi-supervised learning method integrates known drug-protein interaction network information as well as chemical structure and genomic sequence *** report encouraging results of our method on drug-protein interaction network reconstruction which may shed light on the molecular interaction inference and new uses of marketed drugs.

关键词： Drug-Protein Interaction Network Semi-supervised Learning Kernel Methods Normalized Laplacian

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Expression and function analysis of the metallo-thionein-like (MT-like) gene from Festuca rubra in Chlamydomonas reinhardtii chloroplast

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Science China(Life Sciences) 2008年第12期51卷 1076-1081页

作者： HAN SiHai1,2, HU ZhangLi1 & LEI AnPing1 1 institute of Eco-Environment, College of Life Science, Shenzhen University, Shenzhen 518060, China 2 Research Center for Analytical Instrumentation, state key Lab of industrial control technology, institute of cyber-systems and control, Zhejiang University, Hangzhou 310058, China 1. Institute of Eco-Environment College of Life Science Shenzhen University Shenzhen 518060 China 2. Research Center for Analytical Instrumentation State Key Lab of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310058 China

The cDNA of the metallothionein-like (MT-like) gene from Festuca rubra cv. Merlin was optimized with bias codon of Chlamydomonous reinhardtii chloroplast genome. The optimized MT-like gene was de-livered into C. reinhardtii chloroplast and the transgenic strains expressing MT-like gene was obtained. PCR-Southern blot and RT-PCR-Southern blot analysis demonstrated that the MT-like gene was inte-grated into chloroplast genome of C. reinhardtii and expressed at the transcriptional level. The cad-mium binding capacity of the transgenic C. reinhardtii was determined by hydride generation-atomic fluorescence spectrometry (HG-AFS) and the binding properties were analyzed. Results showed that the transgenic C. reinhardtii expressing the MT-like gene exhibited remarkably higher Cd2+ binding capacity and grew to higher densities at toxic Cd2+ concentrations (40-100 μmol/L) than the wild type strain, and that the IC50 of Cd2+ (3-d treating ) to algal cell growth of transgenic strain was 55.43% higher than that of the wild type strain, indicating that the Cd2+ binding capacity and Cd2+ tolerance of C. reinhardtii was enhanced through the expression of the foreign MT-like gene in chloroplast.

关键词： Chlamydomonas reinhardtii chloroplast metallothionein-like (MT-like) gene cadmium binding properties

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Robust stabilization for a class of nonlinear networked control systems

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控制理论与应用（英文版） 2008年第3期6卷 300-304页

作者： Jinfeng GAO Hongye SU Xiaofu JI Jian CHU State Key Laboratory of Industrial Control Technology Institute of Advanced Process Control Zhejiang University Hangzhou Zhejiang 310027 China School of Electrical and Information Engineering Jiangsu University Zhenjiang Jiangsu 212013 China

The problem of robust stabilization for a class of uncertain networked control systems （NCSs） with nonlinearities satisfying a given sector condition is investigated in this paper. By introducing a new model of NCSs with parameter uncertainty, network-induced delay, nonlinearity and data packet dropout in the transmission, a strict linear matrix inequality （LMI） criterion is proposed for robust stabilization of the uncertain nonlinear NCSs based on the Lyapunov stability theory. The maximum allowable transfer interval （MATI） can be derived by solving the feasibility problem of the corresponding LMI. Some numerical examples are provided to demonstrate the applicability of the proposed algorithm.

关键词： Networked control systems （NCSs） Robust control Nonlinearity Linear matrix inequality （LMI）

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Strong γk-γcl H stabilization with a new slack variable approach

Strong γk-γcl H stabilization with a new slack variable ap...

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27th Chinese control Conference, CCC

作者： Cheng, Peng Cao, Yongyan Sun, Youxian Institute of Industrial Process Control State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China Department of Automation Wuhan University of Science and Technology Wuhan 430081 China

ISBN: (纸本)9787900719706

For the strong γk-gamma;cl H∞ stabilization problem, a new bounded real lemma is provided by adding two slack variables, which provides extra freedom to include more control constraints in handling robust control problems. With the extended bounded real lemma, a new sufficient condition is proposed for n-th order strong γk-gamma;cl H ∞ stabilization. Furthermore, the H∞ stable stabilization and strong stabilization problems can also be solved by relaxing certain constraints accordingly. Despite the BMI constraints, the path-following and alternative iteration methods are adopted for the controller design. The effectiveness of the algorithms is indicated by a numerical example.

关键词： Linear matrix inequalities

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Multiobjective Optimization for controller Design

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自动化学报 2008年第4期34卷 472-477页

作者： HUANG Liang WANG Ning ZHAO Jin-Hui State Key Laboratory of Industrial Control Technology Institute of Systems and Control Zhejiang University Hangzhou 310027 P. R. China Intelligence and Communications for Robots Laboratory College of Information and Communications Hanyang University Seoul Korea

用 multiobjective 优化方法的控制器设计被考虑，在哪个为设计控制器的目的和限制被分析并且改善。以便同时地满足目的，一个新 multiobjective 优化算法被介绍进设计一个最佳的 PID 控制器，由织物 P 系统启发了。控制器的参数根据联... 详细信息

用 multiobjective 优化方法的控制器设计被考虑，在哪个为设计控制器的目的和限制被分析并且改善。以便同时地满足目的，一个新 multiobjective 优化算法被介绍进设计一个最佳的 PID 控制器，由织物 P 系统启发了。控制器的参数根据联系的膜的规则被编码并且演变。唯一的设计是结构的整个人口被划分成几 subpopulations 减少计算复杂性。模拟结果证明算法快收敛，答案形成精确前面并且一致地散布。P 系统的变体设计的控制器有令人满意的性能。而且，答案的分析证明新算法对学习在性能之间的关系并且调节参数合适。建议方法为设计并且评估不同控制器是有用的。

关键词：自动化系统控制器设计多目标最优化设计设计方案

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H analysis and controller synthesis via a descriptor system approach

H analysis and controller synthesis via a descriptor system ...

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27th Chinese control Conference, CCC

ISBN: (纸本)9787900719706

The problem of H∞ analysis and synthesis of linear uncertain systems is addressed via parameter-dependent Lyapunov functions. The polyqudratic H∞ stability as well as the affine quadratic H∞ stability is defined, and the corresponding sufficient conditions of LMI form are derived based on a descriptor system approach. By refraining the slack matrices, H∞ state feedback controllers could also be constructed by LMI constraints. The effectiveness is demonstrated by a numerical example.

关键词： Lyapunov functions

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Latent and small fault detection and diagnosis for dynamic processes

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IFAC Proceedings Volumes 2008年第2期41卷 2576-2581页

作者： Zhiqiang Ge Zhihuan Song State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 Zhejiang China

Compared to large process faults, the latent and small ones are difficult to be detected. However, the accumulation of these faults may even more harmful to the process. A novel fault detection and diagnosis method is proposed which is based on similarity factor and a variable moving window. The new method is based on the idea that a change of process can be reflected in the distribution of the data, which can be detected more easily by the proposed similarity factor. Meanwhile, it has no Gaussian distribution limitation of the process data, since the mixed similarity factor is introduced. The independent component analysis (ICA) factor and the principal component analysis (PCA) factor are used for similarity comparison for Gaussian and non-Gaussian information, respectively. Besides, in order to determine the dynamic step accurately and cut the computation cost, the conventional dynamic method is modified by using autocorrelation analysis. A case study of Tennessee Eastman (TE) benchmark process shows the efficiency of the new proposed method.

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