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A soft-margin support vector machine based on normal convex hulls

International Journal of Advancements in Computing Technology 2011年第7期3卷 244-254页

作者： Peng, Hong Luo, Meixiang Lv, Weihang Luo, Linkai Department of Automation Xiamen University Xiamen 361005 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China

Finding the closest points in the two normal convex hulls (NCH) gives an intuitive geometry explanation to support vector machine (SVM) in hard-margin case. However, the reduced convex hull (RCH) introduced in soft-margin case is difficult to understand and explain because it cuts off some boundary points of NCH, which probably become support vectors. This paper proposes a soft-margin SVM model still based on NCH, named as L2-SVC-NCH. L2-SVC-NCH can be interpreted as finding two closest points in the two NCHs on a feature space and the punishment parameter C for empirical risk can be viewed as a trade off between the ordinary kernel function and Kronecker delta kernel function, which makes that L2-SVC-NCH is more perfect and easier to understand and explain than the SVM model based on RCH. In addition, L2-SVC-NCH obtains many additional advantages, such as the good feasible region, the strictly convex objective function and many optional geometric algorithms. The relationships between L2-SVC-NCH and some commonly used SVM models are also illustrated. The comparative experiments on five benchmark datasets show that L2-SVC-NCH is effective and competitive.

关键词： Support vector machines

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Robust model predictive control based on a category of dynamic output feedback

Robust model predictive control based on a category of dynam...

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Asian control Conference

作者： Dewei Li Yugeng Xi Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781612844879

For the polytopic uncertain systems with unmeasurable system states, this paper considers the synthesis of robust model predictive control (RMPC). A category of dynamic output feedback is adopted as the control strategy. Compared with common dynamic output feedback approach, the adopted approach adds some new freedom, which is optimized online by RMPC with some parameters of the controller given in advance. The proposed RMPC is proven to be robustly stable and recursively feasible. And the system constraints can be satisfied. Meanwhile, in order to reduce the online computational complexity of RMPC, an off-line version of the proposed output feedback RMPC is also developed. This makes the design more practical.

关键词： Output feedback Optimization Indexes Robustness Uncertain systems Predictive models Predictive control

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Adaptive Background Model for Arbitrary-Long Stationary Target

Adaptive Background Model for Arbitrary-Long Stationary Targ...

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International Conference on Image and Graphics (ICIG)

作者： Peng Li Chenhao Wang Chongjing Wang Yuncai Liu Department of Automation and Key Laboratory of China MOE for System Control and Information Processing Shanghai Jiaotong University Shanghai China

Background reconstruction plays an important role in many applications like video surveillance, motion analysis. Traditional Adaptive Gaussian Mixture Model will lose target when deal with arbitrary-long stationary object. In this paper, a novel method for detecting this kind of object is proposed to improve the performance of Adaptive Gaussian Mixture Model. Parameter restoration is designed to deal with arbitrary-long stationary target and solve the short-comings of the latest algorithm. The parameters among the K distribution of each pixel covered by the object will be restored when the object stayed for over threshold frames. Then the target will not be updated as a part of background model. Experimental results show that the proposed algorithm proves to be a more robust method by detecting the stationary target in an arbitrary-long time.

关键词： Adaptation models Computational modeling Robustness Mathematical model Real time systems Radiation detectors Surveillance

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Switching multi-model predictive control for hypersonic vehicle

Switching multi-model predictive control for hypersonic vehi...

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Asian control Conference

作者： Hua Chen Li Ning Li Shaoyuan Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiaotong University Shanghai China

Hypersonic vehicle has the characteristics of strong nonlinearity, time-varying, strong coupling and large flight envelope, which make the controller design extremely difficult. In this paper, the longitudinal dynamic model of hypersonic vehicle is studied. Firstly, the linearized model around the equilibrium point is acquired and analyzed. Subsequently, a predictive controller is designed based on the linearized model to track the velocity setpoint under a certain flight condition. In order to extend the controller ability to large flight envelope, a multi-model switching based predictive control method is proposed. Simulation results show that the method could get better performance then single-model based predictive control.

关键词： Vehicles Predictive models Switches Predictive control Atmospheric modeling Aerodynamics

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A Method for Detection and Classification of Glass Defects in Low Resolution Images

A Method for Detection and Classification of Glass Defects i...

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International Conference on Image and Graphics (ICIG)

作者： Jie Zhao Qing-Jie Kong Xu Zhao Jiapeng Liu Yuncai Liu Department of Automation and Key Laboratory of China MOE for System Control and Information Processing Shanghai Jiaotong University Shanghai China

This paper presents a novel method for detection and recognition of glass defects in low resolution images. First, the defect region is located by the method of Canny edge detection, and thus the smallest connected region (rectangle) can be found. Then, the binary information of the core region can be obtained based on a specific filter. After noises are removed, a novel Binary Feature Histogram (BFH) is proposed to describe the characteristic of the glass defect. Finally, the AdaBoost method is adopted for classification. The classifiers are designed based on BFH. Experiments with 800 bubble images and 240 non-bubble images prove that the proposed method is effective and efficient for recognition of glass defects, such as bubbles and inclusions.

关键词： Feature extraction Glass Accuracy Classification algorithms Image resolution Noise Image segmentation

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Detecting Motion Patterns in Dynamic Crowd Scenes

Detecting Motion Patterns in Dynamic Crowd Scenes

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International Conference on Image and Graphics (ICIG)

作者： Chongjing Wang Xu Zhao Yi Zou Yuncai Liu Department of Automation and Key Laboratory of China MOE for System Control and Information Processing Shanghai Jiaotong University Shanghai China

Detecting motion pattern in dynamic crowd scenes is a challenging problem in computer vision field. In this paper, we propose a novel approach to detect the motion patterns from global perspective. To extract the discriminative spatial-temporal features, we introduce the Motion History Image (MHI) into the optical flow algorithm. Motion patterns are then detected by automatic clustering of optical flow vectors through hierarchical clustering. Experiment evaluation on some challenging videos shows reliable detection results and demonstrates the effectiveness of our proposed approach.

关键词： Optical imaging Optical scattering Optical noise Feature extraction Videos Estimation Noise

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“Staircase phenomenon” in delay-independently stable networked control system's dynamic response: Discrete-time case

“Staircase phenomenon” in delay-independently stable netwo...

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Asian control Conference

作者： Song Fang Ning Li Shaoyuan Li Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiaotong University Shanghai China

This paper mainly deals with the issue of “staircase phenomenon” of delay-independently stable networked control systems (NCSs). There already exist works on this topic in continuous-time domain, this paper extends the former result and deals with the more realistic discrete-time case. The definition of “staircase phenomenon” is given at first and the reason is analyzed. Then it is proven that if a NCS with traditional feedback structure is delay-independently stable, then “staircase phenomenon” in its dynamic response cannot be eliminated. This paper proceeds to prove that if a NCS which is delay-independently stable is introduced with scattering transformation, then its steady state error and “staircase phenomenon” in its dynamic response can be eliminated altogether by tuning the parameter of the transformation.

关键词： Scattering Stability criteria Networked control systems Delay Delay effects Steady-state

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Constrained feedback RMPC for systems with structured uncertainties and time delays

Constrained feedback RMPC for systems with structured uncert...

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Asian control Conference

作者： Jianbo Lu Dewei Li Yugeng Xi Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781612844879

In this paper, an approach to design on-line robust model predictive control (RMPC) for time-delayed systems with structured uncertainties is proposed, where an uncertain time-varying input delay and multiple fixed state delays are included. By invoking the augmented state, a new system description with no input delay is introduced. For the resulting augmented systems with state delays, multi-step feedback control laws are utilized which guarantee both the satisfaction of input and state constraints and closed-loop stability. Finally a numerical example is given to illustrate the effectiveness of the proposed approach.

关键词： Delay Uncertainty Optimization Robustness Symmetric matrices Upper bound Feedback control

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A modified multivariate EWMA control chart for monitoring process small shifts

A modified multivariate EWMA control chart for monitoring pr...

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International Conference on Modelling, Identification and control (ICMIC)

作者： Guangming Zhang Ning Li Shaoyuan Li Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China

In this paper, a novel data-driven approach is presented to monitor processes influenced by gradual small shifts. The primary idea is to first build multivariate exponentially weighted moving average (MEWMA) model based on the originally measured variables to keep the memory effect of the process trend. Then introduce a unified Mahalanobis distance based monitoring statistic, which makes full use of the feature of the normal distribution of the process variables, to better capture the deviation of the process variables. A case study of the Tennessee Eastman process (TEP) is used to demonstrate the superiority of the proposed method over other conventional ones in performance and workload of the gradual small shifts monitoring.

关键词： Monitoring Principal component analysis Process control Gaussian distribution Covariance matrix Training Q measurement

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Neural network based approach for developing embedded software

Neural network based approach for developing embedded softwa...

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International Conference on Modelling, Identification and control (ICMIC)

作者： Ruimin Bao Lanjuan Zhu Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China

In parallel with the quick expansion of embedded devices come the rapid growth of embedded software. The commonly used software developing methods can't meet the fast growing demands of variable software when concerning user experience, cross-platforms, upgrade, hardware resources, etc. This paper proposes a new embedded software developing architecture based on the neural network organization and component principles. With the advantages of the network's dynamic weight adjusting and flexible self-learning structure, the approach can not only enable the software better adapt to the users' attributes, but also make the software be easily to extend and upgrade.

关键词： Artificial neural networks Hardware Embedded software Computer architecture Conferences Software architecture

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