{"title":"A study on constructing dynamic context models for smart homes","authors":"Yu-Ju Wen, Alan Liu, Wei-wei Huang","doi":"10.1109/CACS.2013.6734115","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734115","url":null,"abstract":"This paper discusses a method of constructing a context model, adjusting to environment and user preferences through learning, and updating the context model. An ontology representation model is chosen as a base for a context model in defining the relationship among concepts. Personal ontology is kept as the foundation for dynamically changing context models. Ontology reasoning is a technique used in determining the possible behaviors that the users are involved in by looking up ontologies and processing sensor data. Through filtering relative information, a more accurate behavior from a set of possible behaviors can be determined. Lastly, the correct behaviors are associated with context models according to an evolving process that lets subtle information that are learnt in determining behaviors.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124022760","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":"Control of a two-mass structure driven by a ball-screw stage","authors":"Shang-Teh Wu, Sheng-Han Chen","doi":"10.1109/CACS.2013.6734187","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734187","url":null,"abstract":"This paper investigates the control of a linear ball-screw stage driving a two-mass load. Due to the high speed-reduction ratio, the angular displacement of the driving motor is insensitive to the flexible oscillations. The bandwidth of the closed-loop system is thus constrained by the light damping of the flexible load. As a remedy, an accelerometer is installed on the flexible load. A lead compensator based on acceleration and angular displacement feedback is devised via root-locus analysis. Performance of the control system is illustrated with numerical simulations and confirmed by experimental results.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128450398","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}
Li Wang, Shun-Chin Ke, Che-Hao Chang, Chih-Hao Yang
{"title":"Evaluation of measured power-quality results of Jang-Bin wind farm","authors":"Li Wang, Shun-Chin Ke, Che-Hao Chang, Chih-Hao Yang","doi":"10.1109/CACS.2013.6734176","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734176","url":null,"abstract":"This paper presents the power-quality measurement results of Jang-Bin wind farm (WF) in Taiwan. This 46-MW wind farm with twenty-three 2-MW doubly-fed induction generators (DFIGs) is connected to Jang-Bin extra high-voltage substation of Taiwan Power Company (TPC) through six feeders and a step-up main transformer of three-phase, 23/161-kV, 60-MVA. The measured data were recorded during August 6-13, 2013 and the recorded results consisted of three-phase voltages, currents, active power, reactive power, apparent power, power factor, frequency, current harmonics, voltage flicker, and voltage variations. It can be concluded from the measured results that the power quality of the studied wind farm can meet the grid code of TPC.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128614488","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":"H∞ feedback design for the control of dynamically substructured systems","authors":"Chi-Lun Wang, J. Tu","doi":"10.1109/CACS.2013.6734183","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734183","url":null,"abstract":"Dynamically substructured system is a hybrid testing method for performance evaluation of engineering systems, which includes numerical simulation and physical experiment processes. Linear components of an entire system are modeled numerically in real time, while the remaining critical subsystems are tested physically. In the physical substructure, an actuator system is installed in order to emulate the displacement output of numerical substructure, such that the numerical and physical outputs at their substructured interface are synchronized. However, the testing fidelity often suffers from internal parametric uncertainties and external disturbances relating to the actuator and sensor devices. Therefore, robust control design is essential for the tests, in order to guarantee synchronization accuracy and achieve successful and reliable testing tasks. This study is based on the design of numerical-substructure-based state-space linear substructuring controller, using H∞ algorithm to tailor the feedback gain. In this manner, improvement of control robustness as well as testing quality can be achieved.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128659587","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":"Adaptive neural leader-following consensus control for a class of nonlinear multi-agent systems","authors":"Guoxing Wen, C. L. Chen","doi":"10.1109/CACS.2013.6734136","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734136","url":null,"abstract":"In this paper, an adaptive neural consensus tracking algorithm for a class of nonlinear multi-agent systems is studied. The Radial Basis Function Neural Networks (RBFNNs) are utilized to model the unknown nonlinear function of multi-agent system dynamic. Based on Lyapunov analysis method, it is proven that the nonlinear multi-agent system is stable and the consensus tracking errors can converge to a small neighborhood of origin by applied the proposed control method. The effectiveness of the developed scheme is illustrated by a simulation example.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129990895","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":"What can we learn from accident videos?","authors":"Andreas Dopfer, C. Wang","doi":"10.1109/CACS.2013.6734109","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734109","url":null,"abstract":"A recent rise of windshield mounted cameras in cars has given access to large amount of videos from real world traffic accidents. This paper aims to analyze what can be learned from that video data using current state-of-the-art computer vision techniques. We also discuss what is currently missing to fully understand these videos. A substantial number of accident sequences has been acquired and manually evaluated for this analysis. The ability to fully automatically analyze large numbers of traffic accidents from videos will allow to identify potentially dangerous traffic scenarios, improve driving safety and driver warning systems.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131034334","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":"Repetitive controller for speed ripple reduction of ultrasonic motors","authors":"C. Chen, M. Tsai, S. Hsiao","doi":"10.1109/CACS.2013.6734186","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734186","url":null,"abstract":"Ultrasonic motors are driven by the friction force between the rotor and the vibrator, which often induces speed fluctuations synchronizing with the rotor position periodically, namely, speed ripples. The mathematical description of an ultrasonic motor for speed ripples is introduced using Fourier series in this paper, and then the speed controller is designed with a plug-in type repetitive controller to enhance speed control accuracy. Such design allows the repetitive controller to be separated from the designed servo controller. The plug-in type repetitive controller can be added subsequently without disturbing the stabilizing control system. Experiments confirm the validity of the proposed ultrasonic motor model which significantly reduces speed ripples.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129240604","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":"Efficient transient analysis of finite state space continuous time Markov chains (CTMCs): Signal processing approach","authors":"G. R. Murthy","doi":"10.1109/CACS.2013.6734099","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734099","url":null,"abstract":"In this research paper, the problem of efficient computation of transient probability distribution of a Continuous Time Markov chain (CTMC) is addressed and a signal processing based approach is proposed. Also CTMCs whose generator matrix is a structured matrix (Toeplitz, Toeplitz-type) are considered and two efficient algorithms for the computation of transient probability distribution are proposed. Numerical results are presented for performance evaluation of CTMC based stochastic models.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126714810","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":"Enhancing data-driven fault detection through extended attribute variables","authors":"Y. Yamashita, S. Takami","doi":"10.1109/CACS.2013.6734107","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734107","url":null,"abstract":"Due to the high demand for safety and cost efficiency, process monitoring has been well studied. One of the most popular approaches for process monitoring is data-driven fault detection, which usually do not use process knowledge. This paper presents a preprocessing method to combine process knowledge with data-driven fault detection of chemical plant. The method provides a rule to generate extended attribute variables, and the better fault detection is expected with the extended dataset by usual data-driven approach such as a PCA based method. The method was successfully applied to fault detection of the Tennessee Eastman plant simulation benchmark problem.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126837060","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":"Black-start dynamic simulation for Taiwan-Penghu interconnection system","authors":"Yuan-Kang Wu, G. Chang, M. H. Chiang","doi":"10.1109/CACS.2013.6734173","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734173","url":null,"abstract":"If a blackout occurs in the power system, how to restore the grid as soon as possible during the blackout is always a significant issue for the operation of power system. Taiwan power Company (TPC) is planning to connect the Taiwan Grid with the Penghu Island grid, the two-circuit 59km 161-kV submarine cables between Taiwan and Penghu (T-P-cables) will be operated commercially by 2016. The transient behavior of the operation of T-P-Cable may cause the system instability, even cause the system to breakdown. This work proposes the black start energizing process for the Taiwan power system. In the simulation, suitable reactors are timely installed to reduce the system overvoltage when energizing the transmission grid; additionally, STATCOM is also utilized to stabilize the voltage. The simulation results can provide novel black-start paths for TPC after connecting the Taiwan Grid with the Penghu Island grid.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122586433","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}