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第三十三届中国控制会议

作者： GE Yang WANG Jingcheng LI Kang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China School of Electronics Electrical Engineering and Computer ScienceQueen’s University Belfast

ISBN: (纸本)9781479947249

This paper mainly discusses the remote tracking problem with partly quantized information and packet-dropout. Since the network exists between the remote plant and the local plant, any information transmitted between each other will experience the quantization errors and may be lost. In this situation, the controller of the local system needs to consider both the exact local information and the inaccurate remote information. A state feedback controller is adopted and the theorems to design such controller are given in terms of bilinear matrix inequalities(BMIs). Moreover, an algorithm is proposed and these BMIs are converted into a convex optimization problem. Finally, the efficiency of the proposed method is demonstrated by a simulation example.

关键词： Networked control systems,robust control,quantized,remote tracking,packet-dropout

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Robust Fault Tolerant Control on Distributed Networked Control Systems with Quantized Outputs 33

Robust Fault Tolerant Control on Distributed Networked Contr...

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第三十三届中国控制会议

ISBN: (纸本)9781479947249

In this paper, we consider the robust fault tolerant control of the distributed networked control systems(DNCSs). In DNCSs, sub-systems are connected with each other through a communication network. Each sub-system has its own sensor, controller, actuator and quantizer. The output of each sub-system will be transmitted to all other sub-systems through the network. As a result, quantization errors and packet-dropouts cannot be avoided. We also consider the actuator faults situations, including outage, loss of effectiveness and impulse which is modeled by a Markov chain in this paper. A mode-based static output feedback controller is proposed to stable the DNCSs and to meet the robust H-inf performance. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.

关键词： Distributed networked control systems,robust control,fault tolerant,quantized

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A Novel Online Model for Furnace Exit Gas Temperature of Coal-fired Boiler 33

A Novel Online Model for Furnace Exit Gas Temperature of Coa...

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第三十三届中国控制会议

作者： Liu Zhengfeng Wang Jingcheng Shi Yuanhao Zhang Langwen Li Kang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education of China School of Electronics Electrical Engineering and Computer Science Queen's University Belfast

ISBN: (纸本)9781479947249

Furnace exit gas temperature(FEGT) is the key parameter in the furnace ash fouling monitoring system. Since the standard least squares support vector machine(LSSVM) is not suitable for online identification and control of FEGT,a novel CM-LSSVM-PLS method is proposed to predict FEGT in this paper. In the process of CM-LSSVM-PLS method, c-means cluster(CM) algorithm is used to partition the training data into several different subsets by considering the characteristics of operational data. Submodels are subsequently developed in the individual subsets based on LSSVM method. Partial least squares algorithm(PLS) is employed as the combination strategy. The online updating algorithm is then applied to the CM-LSSVM-PLS model. The proposed online model is verified through operation data of a 300 MW generating unit. The simulation results show that the proposed online updating model is effective for online FEGT forecasting.

关键词： Coal-fired boiler Furnace exit gas temperature C-means cluster Least squares support vector machine Partial least squares Online updating

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Evolving fuzzy-model-based on c-regression clustering

Evolving fuzzy-model-based on c-regression clustering

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2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014

作者： Škrjanc, Igor Dovžan, Dejan Gomide, Fernando Laboratory of Modelling Simulation and Control Faculty of Electrical Engineering University of Ljubljana Tržaška 25 LjubljanaSI-1000 Slovenia Department of Computer Engineering and Automation DCA School of Electrical and Computer Engineering FEEC University of Campinas UNICAMP Av. Albert Einstein 400 Campinas SP13083-852 Brazil

ISBN: (纸本)9781479933471

In this paper a new approach to data stream evolving fuzzy model identification is given. The structure of the model is given in the form of Takagi-Sugeno and the partitioning of the input-output space is obtained using a fuzzy c-regression clustering method and the approach also involves the evolving properties. The method is given in a recursive form. The proposed approach is shown with two simple examples of nonlinear system approximation and nonlinear dynamical system modelling. © 2014 IEEE.

关键词： Nonlinear dynamical systems

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Three-dimensional urban-type scene representation in vision system of unmanned flying vehicles 1

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13th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2014

作者： Bielecki, Andrzej Buratowski, Tomasz Śmigielski, Piotr AGH University of Science and Technology Faculty of Electrical Engineering Automation Computer Science and Biomedical Engineering Department of Applied Computer Science Al. Mickiewicza 30 30-059 Cracow Poland AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics Department of Robotics and Mechatronics Al. Mickiewicza 30 30-059 Cracow Poland Asseco Poland S.A. Podwale 3 31-118 Cracow Poland

ISBN: (数字)9783319071732

ISBN: (纸本)9783319071725

In this paper a vision system for autonomous flying agents is considered in the context of industrial inspection tasks performed by unmanned aerial vehicles. A syntactic algorithm of a three-dimensional scene representation is proposed. The algorithm of creating three-dimensional single object representation has been tested by using artificial data. It has turned out to be effective. © 2014 Springer International Publishing.

关键词： Antennas

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A high performance low power implementation scheme for FSM

A high performance low power implementation scheme for FSM

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International SoC Design Conference, ISOCC

作者： Shuai Li Ken Choi Department of Electrical and Computer Engineering VLSI Design and Automation Laboratory Chicago IL USA

ISBN: (纸本)9781479951284

Finite state machine (FSM) takes an important part in digital logic system. FSMs partition is one of the effective methods in regards to low power technique. Most of time only one of sub-FSMs need to be clocked, consequently power is saved. In this paper, we propose a high performance algorithm based on state transitions probability and low complexity control logic to implement the partitioned FSMs. The cost from one sub-FSM to other sub-FSMs could be minimum, and the transitions probability in one sub-FSM should be maximum. Based on the low complexity of control logic, we further give an optimized hardware architecture for the partitioned FSM model. Our proposed scheme has been implemented by using tsmc 45 nm technology library. Experimental results show that an average power reduction of 59% has been obtained for a set of standard FSM benchmark circuits.

关键词： Logic gates

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A systematic fire detection approach based on sparse least-squares SVMs

Communications in Computer and Information Science

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Communications in computer and Information Science 2014年 462卷 351-362页

作者： Zhang, Jingjing Li, Kang Zhao, Wanqing Fei, Minrui Wang, Yigang Cardiff School of Engineering Cardiff University CardiffCF24 3AA United Kingdom School of Electronics Electrical Engineering and Computer Science The Queen’s University of Belfast BelfastBT9 5AH United Kingdom Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronics and Automation Shanghai University Shanghai200072 China Department of Information Ningbo Institute of Technology Zhejiang University Ningbo315010 China

ISBN: (纸本)9783662452608

In this paper, a systematic approach adopting sparse leastsquares SVMs (LS-SVMs) is proposed to automatically detect fire using vision-based systems with fast speed and good performance. Within this framework, the features are first extracted from input images using wavelet analysis. The LS-SVM is then trained on the obtained dataset with global support vectors (GSVs) selected by a fast subset selection method, in the end of which the classifier parameters can be directly calculated rather than updated during the training process, leading to a significant saving of computing time. This sparse classifier only depends on the GSVs rather than all the patterns, which helps to reduce the complexity of the classifier and improve the generalization performance. Detection results on real fire images show the effectiveness and efficiency of the proposed approach. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Support vector machines

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Auto-adjusting Camera Exposure for Outdoor robotics using Gradient Information

Auto-adjusting Camera Exposure for Outdoor Robotics using Gr...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Inwook Shim Joon-Young Lee In So Kweon Robotics and Computer Vision Laboratory Division of Future Vehicle KAIST Daejeon 305-701 Korea Robotics and Computer Vision Laboratory Department of Electrical Engineering KAIST Daejeon 305-701 Korea Department of Electrical Engineering KAIST Daejeon 307-701 Korea

ISBN: (纸本)9781479969357

We present a new method to auto-adjust camera exposure for outdoor robotics. In outdoor environments, scene dynamic range may be wider than the dynamic range of the cameras due to sunlight and skylight. This can results in failures of vision-based algorithms because important image features are missing due to under-/over-saturation. To solve the problem, we adjust camera exposure to maximize image features in the gradient domain. By exploiting the gradient domain, our method naturally determines the proper exposure needed to capture important image features in a manner that is robust against illumination conditions. The proposed method is implemented using an off-the-shelf machine vision camera and is evaluated using outdoor robotics applications. Experimental results demonstrate the effectiveness of our method, which improves the performance of robot vision algorithms.

关键词： Cameras Lighting Robot vision systems Manuals Dynamic range Heuristic algorithms

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Towards Multi-view and Partially-occluded Face Alignment

Towards Multi-view and Partially-occluded Face Alignment

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IEEE Conference on computer Vision and Pattern Recognition

作者： Junliang Xing Zhiheng Niu Junshi Huang Weiming Hu Shuicheng Yan National Laboratory of Pattern Recognition Institute of Automation Department of Electrical and Computer Engineering National University of Singapore

ISBN: (纸本)9781479951192

We present a robust model to locate facial landmarks under different views and possibly severe occlusions. To build reliable relationships between face appearance and shape with large view variations, we propose to formulate face alignment as an l_1-induced Stagewise Relational Dictionary (SRD) learning problem. During each training stage, the SRD model learns a relational dictionary to capture consistent relationships between face appearance and shape, which are respectively modeled by the pose-indexed image features and the shape displacements for current estimated landmarks. During testing, the SRD model automatically selects a sparse set of the most related shape displacements for the testing face and uses them to refine its shape iteratively. To locate facial landmarks under occlusions, we furtherpropose to learn an occlusion dictionary to model different kinds of partial face occlusions. By deploying the occlusion dictionary into the SRD model, the alignment performance for occluded faces can be further improved. Our algorithm is simple, effective, and easy to implement. Extensive experiments on two benchmark datasets and two newly built datasets have demonstrated its superior performances over the state-of-the-art methods, especially for faces with large view variations and/or occlusions.

关键词： Face Shape Dictionaries Training Testing Robustness Optimization

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An adaptive predictive control strategy for RMPPT under partially shaded conditions 19

An adaptive predictive control strategy for RMPPT under part...

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

作者： Ma, Chao Wu, Jing Li, Ning Li, Shaoyuan Li, Kang Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China School of Electronics Electrical Engineering and Computer Science Queen's University Belfast United Kingdom

ISBN: (纸本)9783902823625

As one of key technologies in photovoltaic converter control, Maximum Power Point Tracking (MPPT) methods can keep the power conversion efficiency as high as nearly 99% under the uniform solar irradiance condition. However, these methods may fail when shading conditions occur and the power loss can over as much as 70% due to the multiple maxima in I-P curve in shading conditions v.s. single maximum point in uniformly solar irradiance. In this paper, a Real Maximum Power Point Tracking (RMPPT) strategy under Partially Shaded Conditions (PSCs) is introduced to deal with this kind of problems. An optimization problem, based on a predictive model which will change adaptively with environment, is developed to tracking the global maxima and corresponding adaptive control strategy is presented. No additional circuits are required to obtain the environment uncertainties. Finally, simulations show the effectiveness of proposed method. © IFAC.

关键词： Adaptive control systems

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