{"title":"Adaptive Backstepping Control of Dual-Motor Driving Servo Systems with Friction","authors":"Yu Zhang, X. Ren","doi":"10.1109/IHMSC.2014.60","DOIUrl":"https://doi.org/10.1109/IHMSC.2014.60","url":null,"abstract":"This paper presents a new compensation technique for friction that utilizes a backstepping control structure and an adaptive estimation of the friction force based on an observer for the class of dual-motor driving system. The adaptive dual-state observer is developed to estimate the unknown state z of the LuGre friction model. The stability analysis of the system is verified by Lyapunov stability theory. Finally, simulation results show the achievable control performance of the proposed control strategy and the effectiveness of the observer.","PeriodicalId":370654,"journal":{"name":"2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121160777","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":"Application of RBF Neural Network Based on ENN2 Clustering in Fault Diagnosis","authors":"Tianzhu Wen, Aiqiang Xu, Chunxia Liu, Nan Li","doi":"10.1109/IHMSC.2014.120","DOIUrl":"https://doi.org/10.1109/IHMSC.2014.120","url":null,"abstract":"Radial basis function (RBF) neural network is widely used in engineering with its powerful advantage in solving nonlinear problems. But the number of hidden layer as well as the center and standard deviation of radial basis function are difficult to get, so RBF neural network based on ENN2 is proposed to solve the fault diagnosis problem. Firstly, the structure of RBF neural network is introduced, afterwards, the learning algorithm of RBF neural network is analyzed, the center and standard deviation of RBF in hidden layer are obtained by clustering method of extension neural network type 2(ENN2), meanwhile the weight matrix between hidden layer and output layer are calculated by generalized inverse method. Ultimately, the method is used to solve fault diagnosis problem, the results show that it has the advantages of simple structure, fast learning speed and high diagnostic accuracy.","PeriodicalId":370654,"journal":{"name":"2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116369683","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 Novel Artificial Bee Colony Algorithm","authors":"Yujang Yi, Renjie He","doi":"10.1109/IHMSC.2014.73","DOIUrl":"https://doi.org/10.1109/IHMSC.2014.73","url":null,"abstract":"Artificial bee colony algorithm is a new population-based evolutionary method based on the intelligent behavior of honey bee swarm. It has shown more effective than other biological-inspired algorithms. However, there are still insufficiencies in ABC algorithm, which is good at exploration but poor at exploitation and its convergence speed is also an issue in some cases. For these insufficiencies, we propose a novel artificial bee colony algorithm (NABC) for numerical optimization problems in this paper to improve the exploitation capability by incorporating the current best solution into the search procedure. Experiments are conducted on a set of unimodal/multimodal benchmark functions. The experiments results of NABC have been compared with Gbest-guided artificial bee colony algorithm (G-ABC), improved artificial bee colony algorithm (I-ABC), Elitist artificial bee colony algorithm (E-ABC). The results show that NABC is superior to those algorithms in most of the tested functions.","PeriodicalId":370654,"journal":{"name":"2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124516505","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}
Choo-Yee Ting, Yok-Cheng Sam, Kok-Chin Khor, C. Ho
{"title":"Roles of Affect in Conceptual Change Modeling","authors":"Choo-Yee Ting, Yok-Cheng Sam, Kok-Chin Khor, C. Ho","doi":"10.1109/IHMSC.2014.36","DOIUrl":"https://doi.org/10.1109/IHMSC.2014.36","url":null,"abstract":"Incorporating affect into conceptual change modeling for a computer-based scientific inquiry learning environment is difficult. The challenges mainly stemmed from three perspectives: first, to identify the appropriate variables of affect that influence conceptual change, second, to determine the causal dependencies between the variables of affect and the variables of conceptual change, third, to perform assessment on the evolving states of affect as a student interacts with computer-based learning activities. This research work employed Bayesian Networks as an attempt to tackle the challenges. Three Bayesian Network models of conceptual change were proposed and integrated into INQPRO, a educational program developed in this research work. The first model has only nodes of conceptual change, while the second and the third model have nodes of affect component. Two phases of empirical study were conducted involving a total of 143 students and the findings suggested that the third model that has nodes of affect had outperformed those models without them.","PeriodicalId":370654,"journal":{"name":"2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":" 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132075415","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":"Recent Development of Modeling Simulated RVD Tasks in a Cognitive Architecture","authors":"Shaoyao Zhang, Yu Tian, Fenggang Xu, Chunhui Wang, Shoupeng Huang, Shanguang Chen","doi":"10.1109/IHMSC.2014.62","DOIUrl":"https://doi.org/10.1109/IHMSC.2014.62","url":null,"abstract":"This paper briefly introduces the effort focused on developing an integrated cognitive model of the manual RVD task in the ACT-R cognitive architecture. The descriptions about the manual RVD task and ACT-R have been shown and preliminary analysis of the control strategies has also been made. The comparison results of the performance between human operators and the cognitive model show that the control strategy can simulate behaviors of human operators in a simplified RVD task. The future work will concentrate on the implementation of control strategies in more general RVD tasks, and model validation.","PeriodicalId":370654,"journal":{"name":"2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130099264","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":"When Arduino Meets Kinect: An Intelligent Ambient Home Entertainment Environment","authors":"Yuhui You, T. Tang, Yichen Wang","doi":"10.1109/IHMSC.2014.139","DOIUrl":"https://doi.org/10.1109/IHMSC.2014.139","url":null,"abstract":"This paper describes an gesture-based system suitable for use in a party. With the Microsoft Kinect for Windows sensor, LEDs or lamps, Arduino, and a set of Relay Shield for Arduino, our module creates an immersive ambient entertainment environment that is responsive and sensitive to the presence of users reflected by their gestures, feet movements, and can roughly recognize users' mood based on their facial expressions. We use C# to develop Kinect for Windows application to detect a single user (full skeletal) movement and facial expression. In response to the user's feet/leg movement, the external LED spotlight will be turned on via Arduino Uno and its Relay Shield. The facial expression will be transferred into mood detection module. A higher mood will be used to control ambient light and play music at the same time. That said, a USB port will be used to connect the Kinect sensor, and one or two more USB ports will be used to connect to the Arduino kits. A servo-motor will be used to rotate spotlights.","PeriodicalId":370654,"journal":{"name":"2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133973698","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[infinity] Control for Neutral Stochastic Systems with Markovian Switching","authors":"Bo Song, Ya Zhang, Zhengguang Wu","doi":"10.1109/IHMSC.2014.185","DOIUrl":"https://doi.org/10.1109/IHMSC.2014.185","url":null,"abstract":"This paper investigates the H<sub>∞</sub> control problem for neutral stochastic systems with Markovian switching. By the Lyapunov stability theory, this paper designs an H<sub>∞</sub> controller such that the corresponding closed-loop system is exponentially stable in the mean square and satisfies a prescribed H<sub>∞</sub> performance level. Finally, a simulation example is given to demonstrate the applicability and effectiveness of the developed result.","PeriodicalId":370654,"journal":{"name":"2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132966731","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":"Fast Hessian Frobenius Norm Based Image Restoration","authors":"Pengfei Liu, Liang Xiao","doi":"10.1109/IHMSC.2014.104","DOIUrl":"https://doi.org/10.1109/IHMSC.2014.104","url":null,"abstract":"A projected gradient algorithm (PGA) which is derived from the majorization-minimization (MM) framework has been proposed recently for Hessian-matrix Frobenius norm regularization image restoration model so that it currently provides state-of-the-art performance. Outside the MM framework and for the sake of further accelerating the convergence speed, this paper presents an efficient algorithm for image restoration under the Hessian-matrix Frobenius norm regularization. Using variable splitting to obtain an equivalent constrained optimization formulation, then our algorithm is addressed with an augmented Lagrangian method. Under the alternating direction method of multipliers (ADMM) framework, a fast algorithm with split augmented Lagrangian shrinkage scheme is thus proposed for image restoration. Finally, experimental results demonstrate that our algorithm achieves better results than PGA in terms of peak signal to noise ratio (PSNR) and convergence rate.","PeriodicalId":370654,"journal":{"name":"2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130915996","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}
Xiaoli Gao, Zhencai Cui, Naibo Jia, Han Xiao, Shuliang Zhang
{"title":"Design and Implementation of Essential Algorithms for Parsing GML Schemas","authors":"Xiaoli Gao, Zhencai Cui, Naibo Jia, Han Xiao, Shuliang Zhang","doi":"10.1109/IHMSC.2014.170","DOIUrl":"https://doi.org/10.1109/IHMSC.2014.170","url":null,"abstract":"On the basis of regular expression, by rational extension and reconstruction, the concept of homologous regular expressions(abbreviated to HRegExp) is put forward. The syntax structure and element organization of simple data type and complex data type in schemas can be described perfectly by using HRegExp. Algorithms for analysing and extracting the HRegExp from various GML schemas are introduced.","PeriodicalId":370654,"journal":{"name":"2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"443 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132930770","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":"Research of Mold Level Control Algorithm Based on Hybrid Control Strategy","authors":"Xiaojie Zhang, Zhenping Ji","doi":"10.1109/IHMSC.2014.134","DOIUrl":"https://doi.org/10.1109/IHMSC.2014.134","url":null,"abstract":"Mold level control is an important part of continuous casting process, and is an indispensable part to keep the process safe and make the quality of slab stable. As for the problem of poor performance in the mold level disturbance when the traditional PID controller is applied to mold level control, a fuzzy predictive PID control method is introduced based on the analysis of the controlling object's dynamics characters. The proposed controller incorporated feedforward, fuzzy, predictive and PID controller which can be switched according to the deviation range. The simulation results show good steady state performance and transient performance in the case without additional disturbance, it also have relatively good anti-disturbance performance for the proposed controller.","PeriodicalId":370654,"journal":{"name":"2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133847223","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}