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Sensor data quality assessment for building simulation model calibration based on automatic differentiation

Sensor data quality assessment for building simulation model...

引用

2013 IEEE International Conference on Automation Science and engineering, CASE 2013

作者： Li, Sisi Song, Zhen Zhou, Mengchu Lu, Yan Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07013 United States Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Automation and Control Siemens Corporation Corporate Technology Princeton NJ 08540 United States

ISBN: (纸本)9781479915156

Building simulation models play a vital role in optimal building climate control, energy audit, fault detection and diagnosis, continuous commissioning, and planning. Real system parameters are often unknown or partially unknown and need to be identified through historical data, which are currently acquired by heuristically designed experiments. Without quality sensor data, model calibration is prone to fail, even if the calibration algorithm is appropriate. In this paper, we propose a Fisher-information-matrix (FIM)-based metric to examine the sensor data measurements and how their quality is related to the model calibration quality. It aims to provide quantitative guidance in the calibration cycle of a whole building model that takes as many variables as possible into consideration for the sake of accuracy. Our concerned model is based on well-known physical laws and tries to avoid simplification, thereby leading to a highly discontinuous system with model switches due to the seasonal or daily variation and other reasons. Such a model is implemented in the form of a software package. Hence, no explicit mathematical expression can be given. A key technical challenge is that the complexity of the model prohibits the analytical derivation of FIM, while the numeric calculation is sensitive to sensor noise and model switches. We, hence, propose to adopt an automatic differentiation method, which exploits the operator overload feature of object oriented programming language, for robust numerical FIM calculation. © 2013 IEEE.

关键词： Numerical methods

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Performance Analysis of MPI Parallel Programs on Xen Virtual Machines

Performance Analysis of MPI Parallel Programs on Xen Virtual...

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IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Jungang Xu Yue Zhao Kunlin Zhan Hui Li Xiuqi Han College of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China Safety and Equipment Branch China Coal Research Institute Beijing China

Recently, HPC in the Cloud has emerged as a new paradigm in the field of parallel computing. Most of cloud systems deploy virtual machines for provisioning resources. However, in a virtual machine environment, there is still no mature method to analyze performance of MPI parallel programs. In this paper, we propose a series of innovative methods for performance analysis of MPI parallel programs on Xen virtual machines, including performance data collection through instrumentation and sampling, performance bottleneck diagnosis using PAM and DBSCAN clustering algorithms, and root cause analysis of bottleneck using a rough set approach. The experimental results show that our method can not only automatically locate performs bottlenecks of MPI parallel programs in the XEN virtual machine environment, but also pinpoint the root causes of these bottlenecks automatically.

关键词： Virtual machining Clocks Vectors Performance analysis Hardware Radiation detectors Cloud computing

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A SVM-based method for the estimation of fingerprint and palmprint orientation

A SVM-based method for the estimation of fingerprint and pal...

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2013 4th International Conference on Intelligent control and Information Processing, ICICIP 2013

作者： Wu, Yanping Zhao, Tong Wang, Shuguang Yong, A. Guo, Tiande School of Computer and Control Engineering University of Chinese Academy of Sciences No.19A Yuquan Road Beijing China School of Mathematical Sciences University of Chinese Academy of Sciences No.19A Yuquan Road Beijing China Institute of Automation Chinese Academy of Sciences 95 Zhongguancun East Road Beijing China

ISBN: (纸本)9781467362481

A SVM-based method is proposed in this paper, which is the first time that SVM is applied to the estimation of fingerprint and palmprint orientation, to the best of our knowledge. The orientation estimation problem can be regarded as a multi-classification problem by dividing the range [0 180] into 8 segments uniformly, which allows the introduction of classification methods and does not reduce the performance. In addition to the direct presentation of the estimated orientation, the rates of accuracy and recall of the minutiae are considered as statistical evaluation indexes of the performance to compare our method with the gradient-based method. Detailed analytical and experimental results are given to verify the feasibility and efficiency of our method. © 2013 IEEE.

关键词： Anthropometry

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Subspace identification of process dynamics for iterative learning control 8

Subspace identification of process dynamics for iterative le...

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8th International Workshop on Multidimensional Systems, nDS 2013

作者： Janczak, Andrzej Kujawa, Dominik Rogers, Eric Cai, Zhonglun Institute of Control and Computation Engineering University of Zielona Góra Ul. Podgórna 50 Zielona Góra65-246 Poland Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Faculty of Engineering and the Environment University of Southampton SouthamptonSO17 1BJ United Kingdom

ISBN: (纸本)9783800735433

A new approach to subspace identification of process dynamics for iterative learning control is developed. The unknown process state-space model and noise covariance matrices are determined based on merged data from all available trials. A gantry robot used for benchmarking of iterative learning control algorithms provides the data for this work. © VDE VERLAG GMBH 2013.

关键词： Two term control systems

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Fine-grained image classification using color exemplar classifiers

Fine-grained image classification using color exemplar class...

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14th Pacific-Rim Conference on Multimedia, PCM 2013

作者： Zhang, Chunjie Xiong, Wei Liu, Jing Zhang, Yifan Liang, Chao Huang, Qingming School of Computer and Control Engineering University of Chinese Academy of Sciences 100049 Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences P.O. Box 2728 Beijing China National Engineering Research Center for Multimedia Software Wuhan University 430072 Wuhan China Key Lab of Intell. Info. Process Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9783319037301

The use of local features has demonstrated its effectiveness for many visual applications. However, local features are often extracted with gray images. This ignores the useful information within different color channels which eventually hinders the final performance, especially for fine-grained image classification. Besides, the semantic information of local features is too weak to be applied for high-level visual applications. To cope with these problems, in this paper, we propose a novel fine-grained image classification method by using color exemplar classifiers. For each image, we first decompose it into multiple color channels to take advantage of the color information. For each color channel, we represent each image with a response histogram which is generated by exemplar classifiers. Experiments on several public image datasets demonstrate the effectiveness of the proposed color exemplar classifier based image classification method. © Springer International Publishing Switzerland 2013.

关键词： Image classification

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Solvers chaining in the IDOS server for dynamic optimization

Solvers chaining in the IDOS server for dynamic optimization

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IEEE Annual Conference on Decision and control

作者： Radoslaw Pytlak Jacek Blaszczyk Andrzej Karbowski Kamil Krawczyk Tomasz Tarnawski Institute of Automatic Control Warsaw University of Technology 02-525 Warsaw Poland Research and Academic Computer Network (NASK) 02-796 Warsaw Poland Institute of Control and Computation Engineering Warsaw University of Technology 00-665 Warsaw Poland

ISBN: (纸本)9781467357159

This paper presents a newly deployed server, IDOS (Interactive Dynamic Optimization Sever), devoted to solving optimal control problems. Development and deployment of the Interactive Dynamic Optimization Server is a result of a project funded by NCBiR (National Center for Research and Development in Poland). The aim of the project was to develop a prototype, online-accessible environment for solving dynamic optimization problems. Within the project we also constructed a modeling language (Dynamic Optimization Modeling Language, DOML) for defining optimal control problems. In result, a user can describe his problem in a programming-language-independent way. Then, once defined, the problem can be attempted by different solvers. In particular one can get a crude approximation to a solution of his problem by applying one solver and then continue solving the problem by another solver which gives a more accurate solution but may require a better initial guess than the first solver. The paper describes some constructs of DOML language which enable such chaining of solvers. A simple optimal control problem is used to illustrate the functionality of the IDOS server and the completeness of our language DOML.

关键词： Equations Optimal control Servers Optimization Mathematical model Generators Approximation methods

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Two-dimensional systems based iterative learning control for high-speed rack feeder systems 8

Two-dimensional systems based iterative learning control for...

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8th International Workshop on Multidimensional Systems, nDS 2013

作者： Paszke, Wojciech Aschemann, Harald Rauh, Andreas Galkowski, Krzysztof Rogers, Eric University of Zielona Góra Institute of Control and Computation Engineering ul.Licealna 9 Zielona Góra65-417 Poland Chair of Mechatronics University of Rostock Rostock18059 Germany Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

ISBN: (纸本)9783800735433

Many systems compete the same finite duration task over and over again, where once each is completed the system resets to the starting location and the next execution begins. Each execution is known as a trial and the duration is the trial length. Iterative learning control algorithms have been developed for such systems where the novel feature is the use of information from previous trials to update the control input for application on the next one. This paper uses the 2D systems structure of iterative learning control to design in one step a control law for trial-to-trial error convergence and along the trial transient dynamics. The analysis makes use of the generalized form of the Kalman-Yakubovich-Popov lemma and the design is evaluated in simulation on a high-speed rack feeder model as a prerequisite for experimental validation. © VDE VERLAG GMBH 2013.

关键词： Iterative methods

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Model Repair for Markov Decision Processes

Model Repair for Markov Decision Processes

引用

Theoretical Aspects of Software engineering (TASE)

作者： Taolue Chen Ernst Moritz Hahn Tingting Han Marta Kwiatkowska Hongyang Qu Lijun Zhang Department of Computer Scienc University of Oxford UK Department of Automatic Control and Systems Engineering University of Sheffield UK State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences China

Markov decision processes (MDPs) are often used for modelling distributed systems with probabilistic failure or randomisation. We consider the problem of model repair for MDPs defined as follows: if the MDP fails to satisfy a property, we aim to find new values for the transition probabilities so that the property is guaranteed to hold, while at the same time the cost of repair is minimised. Because solving the MDP repair problem exactly is infeasible, in this paper we focus on approximate solution methods. We first formulate a region-based approach, which yields an interval in which the minimal repair cost is contained. As an alternative, we also consider sampling based approaches, which are faster but unable to provide lower bounds on the repair cost. We have integrated both methods into the probabilistic model checker PRISM and demonstrated their usefulness in practice using a computer virus case study.

关键词： Maintenance engineering Markov processes Computational modeling Probabilistic logic Cost accounting Proposals

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Delay-dependent ℋ∞ filter design for discrete-time fuzzy descriptor system

Delay-dependent ℋ∞ filter design for discrete-time fuzzy d...

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Chinese control Conference (CCC)

作者： Chunsong Han Tong Peng Huiyan Zhang Qingshuang Zeng School of Computer and Control Engineering Qiqihar University Qiqihar Heilongjiang CN Hypervelocity Impact Research Center Harbin Institute of Technology Harbin Heilongjiang CN Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin Heilongjiang CN

In this paper, the ℋ ∞ filtering problem for T-S fuzzy descriptor system with interval time-delay is investigated. By using of Lyapunov-Krasovskii theorem combination with free-weighting matrix technique, interval delay-dependent sufficient condition for the existence of ℋ ∞ filtering is established in terms of linear matrix inequality (LMI), which ensures the considered system to be regular, causal and stable with a prescribed ℋ ∞ performance index. The suitable filter is derived through the feasible solution of LMIs. A numerical example is given to show the effectiveness of the obtained results.

关键词： Linear matrix inequalities Performance analysis Delays Vectors Fuzzy systems Power system stability Educational institutions

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A Direct Wideband Direction of Arrival Estimation under Compressive Sensing

A Direct Wideband Direction of Arrival Estimation under Comp...

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IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Kai Yu Ming Yin Jian Luo Ming Bao Yu-Hen Hu Zhi Wang Department of Control Science and Engineering Zhejiang University Hangzhou Zhejiang China Institute of Information and Control Hangzhou Dianzi University Hangzhou Zhejiang China Institute of Acoustics Chinese Academy of Sciences Beijing China Department of Electrical and Computer Engineering University of Wisconsin-Madison Madison WI U.S.A

Compressive Sensing (CS) theory witnesses great breakthrough in signal acquisition and processing. In this paper we focus on the application of direction of arrival (DoA) and proposed a compressive sensing based direct DoA estimation framework (CS-DDoA) for wireless sensor array network. Unlike the former signal reconstruction-processing scheme, CS-DDoA utilize the spatial and spectral sparsity of target, then reformulates them into a global problems. It eliminates the error propagation between this two independent procedure and provides a enhanced DoA performance. Under this framework, array data transmission volume can be greatly reduce without distinct performance decline, which has great potential for wireless sensor array network with limited resources. At last theoretical analysis and prototype system are provided to validate this framework.

关键词： Arrays Wireless sensor networks Direction-of-arrival estimation Wireless communication Estimation Vectors Sparse matrices

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