Erwin Jose Lopez Pulgarin, Jorge Ivan Sofrony Esmeral
{"title":"Data-driven FDI for wind farms using W-SVM","authors":"Erwin Jose Lopez Pulgarin, Jorge Ivan Sofrony Esmeral","doi":"10.1109/ISIC.2016.7579979","DOIUrl":"https://doi.org/10.1109/ISIC.2016.7579979","url":null,"abstract":"The adoption of clean, renewable energy has brought to the forefront an increase in the studies and research around their reliable and efficient implementation. The increasing demand of wind-turbine generated power has led to the construction of larger turbines which require higher reliability guarantees in order to operate with reduced down-times and moderate repair costs. The use of advanced techniques for fault detection and isolation (FDI), and the subsequent fault tolerant control implementation in wind turbines is one of the proposed solutions to reduce losses in efficiency and ensure their continued operation. Although the implementation of FDI strategies in wind turbines have been developed greatly in the last decade, little work has been done at the wind farm level; this approach can solve the problems of detecting certain faults that have proven to be difficult to detect at the wind turbine level (e.g. those caused by mechanical wear on the internal structure of the wind turbine). This article presents the results of designing a data-driven FDI strategy for a wind turbine farm system via Weighted Support Vector Machines (W-SVM), achieving a fast and reliable way to detect faults with reduced missed detections, low number of false positive and fast enough detection rates.","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129509467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Weidl, Anders L. Madsen, Dietmar Kasper, G. Breuel
{"title":"Optimizing Bayesian networks for recognition of driving maneuvers to meet the automotive requirements","authors":"G. Weidl, Anders L. Madsen, Dietmar Kasper, G. Breuel","doi":"10.1109/ISIC.2014.6967630","DOIUrl":"https://doi.org/10.1109/ISIC.2014.6967630","url":null,"abstract":"An Object Oriented Bayesian Network for recognition of maneuver in highway traffic has demonstrated an acceptably high recognition performance on a prototype car with a Linux PC having an i7 processor. This paper is focusing on keeping the high recognition performance of the original OOBN, while evaluating alternative modelling techniques and their impact on the memory and time requirements of an ECU-processor for automotive applications. New challenges are faced, when the prediction horizon is to be further extended.","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124624349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Thermodynamic entropy within quantitative description of acquisition of information and knowledge","authors":"K. R. Chenyshov","doi":"10.1109/ISIC.2014.6967638","DOIUrl":"https://doi.org/10.1109/ISIC.2014.6967638","url":null,"abstract":"In the present paper, the Brillouin formalism is shown to be able to be used within the entropy description of the knowledge acquisition processes, if the proper knowledge would be considered as a system transferring from the initial state to the final one. Then the cognition process just reflects decreasing the system (knowledge) entropy, and the information quantity, corresponding to such a decreasing of the entropy. Within the framework, in the paper the notion of the generalized entropy is improved and the researcher trend to decrease maximally the uncertainty of the final system (knowledge) state is just the minimization rather than maximization of such a generalized entropy. The interpretation of the Brillouin formalism enables one also to introduce, in accordance to the Cauchy-Schwarz inequality, the entropy-based coefficient of knowledge acquisition (ECKA) characterizing both the degree of the knowledge “depth” achieved by the researcher, as well as the “structure” of the knowledge. The values of such the ECKA lie within the interval from zero to unity, with the maximal value being just achieved at the exhaustive level of the researcher knowledge completeness. The paper has been supported by a grant of the Russian Foundation for Basic Researches (RFBR): project 12-08-01205-a.","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122049558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. D. Charalambous, R. Bultitude, Jun Zhan, I. Papageorgiou
{"title":"Radio Fading Channel Modeling, Estimation and Identification Based on the Measurement Data","authors":"C. D. Charalambous, R. Bultitude, Jun Zhan, I. Papageorgiou","doi":"10.1109/.2005.1467051","DOIUrl":"https://doi.org/10.1109/.2005.1467051","url":null,"abstract":"This paper is concerned with modeling and system identification of wireless channels. The models employed are in state space form, while the identification method uses the expectation-maximization (EM) algorithm and Kalman filtering. The algorithm is tested against measurement data collected by the Canadian Communication Research Center (CRC), and the results are presented. These include state space models and estimates of the inphase and quadrature components of the channel from measured data","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114310819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of Luenberger-Like Observers for Detectable Switching Systems","authors":"E. D. Santis, Maria-Gabriella Di Benedetto","doi":"10.1109/.2005.1466987","DOIUrl":"https://doi.org/10.1109/.2005.1466987","url":null,"abstract":"We address the problem of reconstructing the state of a switching system from partial knowledge of the dynamics of the plant. Under the assumption that the discrete state of the switching system is known, we show that if the conditions ensuring detectability are satisfied, a suitable Luenberger-like observer solves the problem of estimating the continuous component of the state","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122186412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Paviglianiti, F. Caccavale, M. Mattei, F. Pierri
{"title":"Fault Detection and Isolation for Robotic Manipulators","authors":"G. Paviglianiti, F. Caccavale, M. Mattei, F. Pierri","doi":"10.1109/.2005.1467094","DOIUrl":"https://doi.org/10.1109/.2005.1467094","url":null,"abstract":"This paper deals with the problem of detecting and isolating sensor faults in industrial robot manipulators. To the purpose, an analytical redundancy approach has been pursued, based on a bank of state observers for residual generation. An extended Hinfin approach is adopted to build the bank of residual generators; the compensation of poorly known dynamics in each observer is improved by the use of a neural network. The synthesis of the observer gains is achieved by solving an LMI feasibility problem, where constraint on the position of the estimation error linearized dynamics poles in the complex plane are taken into account Finally, in order to test the effectiveness of the proposed approach, a case study is presented, based on experimental data collected on a six-degree-of-freedom Comau Smart-3 S industrial manipulator","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129670739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Observer Design for a Class of Differential-Algebraic Systems Application to a Bioprocess Model","authors":"E. Yaagoubi, A. Assoudi","doi":"10.1109/.2005.1467176","DOIUrl":"https://doi.org/10.1109/.2005.1467176","url":null,"abstract":"Many physical processes are described by differential-algebraic equations. The numerical simulation of such models usually combines an ODE numerical method together with an optimisation algorithm. In this paper we give a nonlinear observer design permitting to estimate the unknown state without the use of an optimisation algorithm. Numerical simulations using the model of an aerobic culture of recombinant yeast are given to highlight the performance of the proposed observer","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134554167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Location Reconciliation in Distributed Sensor Localization","authors":"H. Fan, Chunpeng Yan, J. Caffery","doi":"10.1109/.2005.1467104","DOIUrl":"https://doi.org/10.1109/.2005.1467104","url":null,"abstract":"Unattended ground sensor networks have attracted considerable attention and research recently. Sensor self-localization is an important initial step in setting up a network for its intended operations. However, most of the research to date on sensor localization is based on centralized processing, requiring pair-wise communications of all sensors not only within the entire sensor network, but also with a central processing unit. In this paper, a recently proposed decentralized, or distributed, sensor self-localization scheme is revisited. This scheme requires only local communications among a few neighboring sensors, and requires no central processing unit. Such a scheme reduces power consumption and enhances the robustness of the sensor network. However, the sensor localization information among different sensor clusters need to be reconciled, a problem that is specific to this distributed localization approach. We present further solutions to the reconciliation problem with supporting computer simulation results","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116329804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robust adaptive fuzzy control of uncertain nonholonomic systems","authors":"F. Hong, S. Ge, Tong-heng Lee","doi":"10.1109/ISIC.2004.1387681","DOIUrl":"https://doi.org/10.1109/ISIC.2004.1387681","url":null,"abstract":"We present an adaptive fuzzy controller design for a class of uncertain nonholonomic systems in the perturbed chained form with unknown virtual control coefficients and strong drift nonlinearities. The robust adaptive fuzzy control laws are developed using state scaling and backstepping. Uniform ultimate boundedness of all the signals in the closed-loop are guaranteed, and the system states are proven to converge to a small neighborhood of zero. The control performance of the closed-loop system is guaranteed by appropriately choosing the design parameters. By using fuzzy logic approximation, the proposed control is free of control singularity problem. An adaptive control based switching strategy is proposed to over the uncontrollability problem associated with x/sub 0/(t/sub 0/) = 0.","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130928105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A 40nm/65nm process adaptive low jitter phase-locked loop","authors":"Hengzhou Yuan, Yang Guo, Zhuo Ma","doi":"10.1109/ISICIR.2014.7029450","DOIUrl":"https://doi.org/10.1109/ISICIR.2014.7029450","url":null,"abstract":"As the chip performance improved, low jitter PLL is getting more attention. The migration of process requires more stability of PLL among different processes. In this paper, by depressing the non-ideality of charge-pump and setting the two-stage control voltage of VCO, the noise performance of PLL is improved. The self-adaptive bandwidth technology is used to decrease the dependency between process and performance. The simulation proves that this PLL can adapt to both 40nm and 65nm process. The chip is taped out under 40nm CMOS process, the phase-noise performance of this PLL is -130dBc/Hz@3MHz at 1GHz, the maximum VCO output is up to 3.2GHz, the lowest resolution is 0.048Hz, which guarantees the high versatility and high performance of this PLL.","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123602604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}