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31st Chinese control Conference, CCC 2012

作者： Wangli, He Feng, Qian Han, Qing-Long Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Centre for Intelligent and Networked Systems Central Queensland University Rockhampton QLD 4702 Australia School of Information and Communication Technology Central Queensland University Rockhampton QLD 4702 Australia

ISBN: (纸本)9789881563811

This paper is concerned with leader-follower synchronization of complex dynamical networks with sampled-data control. By sampling the signal from the leader at some discrete time instants and using a zero-order hold function, synchronization is achieved between the network and a desired orbit, known as the leader. By applying Lyapunov functional approach and the property of the network topology matrix, a delay-dependent criterion is derived. It is shown that synchronization of N coupled dynamical systems with a leader can be recast into the stability of N decoupled systems, in which eigenvalues of the network topology matrix are involved. Finally, a chaotic neural network is used to illustrate the effectiveness of the proposed method. © 2012 Chinese Assoc of Automati.

关键词： Synchronization

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Leader-follower synchronization for complex dynamical networks via sampled-data control

Leader-follower synchronization for complex dynamical networ...

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Chinese control Conference

作者： Wangli He Feng Qian Qing-Long Han The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Centre for Intelligent and Networked Systems Central Queensland University

ISBN: (纸本)9781467325813

关键词： Synchronization Sampled-data control Complex networks

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Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI

Regularized CSP with Fisher's criterion to improve classific...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Yu Zhang Qibin Zhao Guoxu Zhou Xingyu Wang Andrzej Cichocki Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Wako Saitama Japan

A brain-computer interface (BCI) based on the combination of oddball paradigm and face perception has been introduced. Such BCI mainly exploits three event-related potential (ERP) components, namely vertex positive potential (VPP), N170 and P300 instead of only P300. With different temporal and spatial distributions of the three ERP components, a regularized common spatial pattern (CSP) with Fisher's criterion (FC), named FCCSP, is proposed to extract the most discriminative features for single trial classification of ERP components. With linear discriminant analysis (LDA) classifier, the proposed FCCSP spatial filtering method yields an average classification accuracy of 95.4% on seven healthy subjects for single-trial ERP components, which outperforms no spatial filtering, the CSP and the FC.

关键词： Feature extraction Accuracy Electroencephalography Face Eigenvalues and eigenfunctions optimization Brain computer interfaces

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The segmentation of ban traffic signs based on two-step randomized Hough transform

The segmentation of ban traffic signs based on two-step rand...

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31st Chinese control Conference, CCC 2012

作者： Xin, Zhou Zhencheng, Ye Feng, Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education China School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 China

ISBN: (纸本)9789881563811

In order to segment ban traffic signs quickly and accurately, this paper first refers to its characteristic of red circle and white background to start color segmentation, then presents a segmentation method based two-step randomized Hough transform (RHT) segmentation method. The first step, extracting the approximate area in the ban traffic signs, which is using the means of Hough transform detect approximate circle method, then screening edge chain code by the approximate range of the center and radius of traffic signs. The second step, comprehensive the ideas, such as the tangent of edge chain, the ellipse polar and polar line, the distance of the point on the ellipse to the two elliptical focal point is equal to long-axis length, Using these ideas to improve the randomized Hough transform and segment the ellipse precise area where traffic signs at the original image. This method uses the idea of thin after rough, avoiding a large number of invalid samples. Experiments show the effectiveness of the new method. © 2012 Chinese Assoc of Automati.

关键词： Hough transforms

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H∞ filtering for networked control systems with quantization and multiple packet dropouts

H∞ filtering for networked control systems with quantizatio...

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International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： Huaicheng Yan Zhenzhen Su Hongbo Shi Hao Zhang Key Laboratory of Advanced Control and Optimization for chemical Processes of Ministry of Education and School of Information Science and Engineering East China University of Science and Technology Shanghai China Department of Control Science and Engineering Tongji University Shanghai China

ISBN: (纸本)9781467318716

This paper addresses the H ∞ filtering problem for networked control systems with quantization and multiple packet dropouts. The effects of measurement channel and control channel quantization as well as packet dropouts are considered simultaneously due to limited communication capacity and unreliable communication links. Stochastic variables satisfying the Bernoulli random binary distribution are utilized to model the multiple packet dropouts. Sufficient conditions are proposed such that the filtering error system is exponentially mean-square stable while the H ∞ disturbance rejection attenuation constraint is satisfied. Then, the explicit expression of the desired filter gains is described in terms of the solution to linear matrix inequalities (LMIs). Finally, a numerical example is employed to demonstrate the effectiveness of the proposed filter design approach.

关键词： Quantization (signal) Networked control systems Symmetric matrices Sensors Delays Robustness Linear matrix inequalities

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A particle filter based on a constrained sampling method for state estimation

A particle filter based on a constrained sampling method for...

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International Conference on Information Fusion

作者： Zhonggai Zhao Biao Huang Fei Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi China Department of Chemical and Materials Engineering University of Alberta Edmonton AB Canada

Increasingly in practical applications, nonlinearity, non-Gaussianity, and constraint are considered when dealing with state estimation problems. This paper proposes a novel constrained particle filter (PF) approach for state estimation, where three constraint strategies are implemented: First, to ensure the validity of prior, prior particles are restrictedly sampled in the constraint region by a constrained inverse transform sampling method. Second, if constraints are imposed on the posterior, a constrained re-sampling method, similar to the existing acceptance/rejection constrained PF method, is proposed to restrict the posterior particles to be generated from the valid prior particles. Third, the validity of state estimation is ensured through adjustment of part of posterior particles according to the posterior density function of states, which is accomplished by deleting uniformly selected violated posterior particle and uniformly selected valid posterior particle for reproduction. Compared with the existing methods, the proposed method implements constraints with better physical interpretation, and involves no numerical optimization procedure and no restrictive assumptions about the distributions. Simulation results demonstrate its effectiveness.

关键词： Noise Equations State estimation optimization Mathematical model Laplace equations

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Robust neural control for switched systems with unmodeled dynamics and external disturbances

Robust neural control for switched systems with unmodeled dy...

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31st Chinese control Conference, CCC 2012

作者： Lei, Yu Shumin, Fei School of Mechanical and Electric Engineering Soochow University Suzhou 215021 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Shanghai 200237 China Henan Provincial Open Laboratory for Control Engineering Key Discipline Jiaozuo 454000 China School of Automation Southeast University Nanjing 210096 China

ISBN: (纸本)9789881563811

In this paper, a robust neural control problem for switched systems with unmodeled dynamics and external disturbances is addressed. RBF neural networks and multiple Lyapunov functions are employed to design robust neural controller and switching signal. It's proved that the resulting closed-loop system is asymptotically Lyapunov stable and good satisfactory tracking control performance is obtained. Finally, simulation results verify our theoretical findings and demonstrate the effectiveness of the proposed control method. © 2012 Chinese Assoc of Automati.

关键词： Lyapunov functions

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On-Line Batch process Monitoring Using Multiway Kernel Partial Least Squares

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Journal of Donghua University(English Edition) 2011年第6期28卷 585-590页

作者：胡益马贺贺侍洪波 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

An approach for batch processes monitoring and fault detection based on multiway kernel partial least squares(MKPLS) was *** is known that conventional batch process monitoring methods,such as multiway partial least squares(MPLS),are not suitable due to their intrinsic linearity when the variations are *** address this issue,kernel partial least squares(KPLS) was used to capture the nonlinear relationship between the latent structures and predictive *** addition,KPLS requires only linear algebra and does not involve any nonlinear *** this paper,the application of KPLS was extended to on-line monitoring of batch *** proposed batch monitoring method was applied to a simulation benchmark of fed-batch penicillin fermentation *** the results demonstrate the superior monitoring performance of MKPLS in comparison to MPLS monitoring.

关键词： process monitoring fault detection kernel partial least squares(KPLS) nonlinear process multiway kernel partial least squares(MKPLS)

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Classification of four-class motor imagery EEG based on CSP-HMM

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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 2012年第SUPPL.2期36卷 197-201页

作者： Wang, Dong-Yang Jin, Jing Wang, Xing-Yu Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai 200237 China

In this paper, a new classification method based on common spatial pattern (CSP) and hidden markov model(HMM)is presented to classify the EEG of four-class motor imagery. 4 s data of motor imagery is selected and four 2 s sub-data sets are obtained by sliding time window with 0.5 s step size. CSP is used to extract features from the four sub-data sets respectively. Features from each class are used to train one HMM. Four different HMMs are obtained corresponding with the four classes. Test data are measured by the four HMMs and classified based on the maximum likelihood obtained from the four HMMs. The results show that HMM yields better performance than Bayesian linear discriminant analysis.

关键词： Brain computer interface

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Attribute reduction based on ant colony algorithm for optimization of minimal reductions

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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 2012年第SUPPL.2期36卷 48-52页

作者： Yin, She-Jie Zhang, Ling-Bo Gu, Xing-Sheng Xu, Zhen-Hao Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai 200237 China

Attribute reduction is an important topic of the rough set theory and it's a NP-hard problem to find a minimal reduction. Due to the advantage of ant colony algorithm in solving combinatorial optimization problems, this paper treats attribute reduction as a combinatorial optimization problem, and combines the rough set theory with ant colony algorithm to search the minimal reduction. In accordance with the problems in obtaining many minimal reduction sets of the same length, the paper takes the dependence degree of decision attributes on the non-core attributes to measure the solutions and selects the reduction set which has the maximum dependence degree, so as to find the optimal solution. Experimental results verify the validity of the presented algorithm.

关键词： Rough set theory

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