T. Saito, Y. Baba, K. Nakagawa, Y. Fuwa, Y. Shimokawa
{"title":"A MULTINEURO computer system by using high performance digital neuro processor","authors":"T. Saito, Y. Baba, K. Nakagawa, Y. Fuwa, Y. Shimokawa","doi":"10.1109/SICE.1995.526722","DOIUrl":"https://doi.org/10.1109/SICE.1995.526722","url":null,"abstract":"We have developed an accelerator device \"MULTINEURO-A\" which incorporates multiple processors (one master node and plural slave nodes) dedicated to neural network high-speed computing realized on an engineering workstation. Nodes are connected by two data paths, broadcast bus and ring bus. Processing speed is in proportion to the number of processors. It is built in two boards (master and slave) having 64 VLSI processors that offers to 1.5 billion connections per seconds. It processes forward/backward calculation of multilayer perceptron type neural networks, feedback type neural networks such as Hopfield model, and any other types by programming for parallel processing.","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122047598","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 stabilizing controller for multirate sampled-data systems","authors":"Young Baek Kim, Sang Jeong Lee","doi":"10.1109/SICE.1995.526971","DOIUrl":"https://doi.org/10.1109/SICE.1995.526971","url":null,"abstract":"Designs a multirate controller for a given multirate sampled-data system which has a periodic output measurement scheme. A sufficient condition for maintaining observability in multirate sampled-data systems is given first. The design strategy for disturbance rejection is proposed. The proposed controller has IMC structure, and can be decomposed into a disturbance estimator and the inverse of the fast plant. The authors assume that the disturbance consists of a sum of finite number of sine waves with different frequencies and DC bias. Simple examples are presented for illustrations.","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133803242","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":"Controller design using parametric neural networks","authors":"M. Hasheminejad, J. Murata, K. Hirasawa","doi":"10.1109/SICE.1995.526694","DOIUrl":"https://doi.org/10.1109/SICE.1995.526694","url":null,"abstract":"A neural network (NN) of a more flexible internal structure than usual is used to design a better controller. A parametric NN (PNN) can represent both linear and nonlinear relationships explicitly and simultaneously by setting its parameters appropriately. In many cases we have some information about the system which enable us to build a linear controller for it. But of course this is not enough for treating nonlinear plants. Using PNN we could make a complimentary linearized controller and then, after starting the learning, in an online manner it will be extended to a nonlinear dominant controller.","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133813747","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":"Identification of nonlinear systems based on adaptive fuzzy systems embedding quasi-ARMAX model","authors":"Jinglu Hu, K. Kumamaru","doi":"10.1109/SICE.1995.526659","DOIUrl":"https://doi.org/10.1109/SICE.1995.526659","url":null,"abstract":"This paper addresses the issues related to identification of nonlinear systems based on adaptive fuzzy systems (AFSs) embedding quasi-ARMAX model. A general nonlinear system can be represented as a quasi-ARMAX form, in which the parameters .","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134015660","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":"On the stability of controllers for self-sensing magnetic bearings","authors":"T. Mizuno, K. Araki, H. Bleuler","doi":"10.1109/SICE.1995.526975","DOIUrl":"https://doi.org/10.1109/SICE.1995.526975","url":null,"abstract":"A comparison between the controllers using a full-order observer and the reduced-order observer are made from the viewpoint of strong stabilization in self-sensing active magnetic bearings. It is shown that any reduced-order observer based controller stabilizing the plant is unstable while full-order observer based controllers are stable. The self-sensing suspension in magnetic bearings with solid cores is also discussed. It is shown that the controllers are destabilized by a modification of the eddy currents flowing through the cores. It gives the reason for the difficulty of actual self-sensing suspension in the solid-cored magnetic bearing.","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"29 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131878379","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":"On-line self tuning fuzzy controller using intelligent membership function","authors":"Seok-Yong Oh, Dong-Jo Park","doi":"10.1109/SICE.1995.526702","DOIUrl":"https://doi.org/10.1109/SICE.1995.526702","url":null,"abstract":"A new design method is proposed for a fuzzy logic controller (FLC). By analyzing phase plane characteristics we can build and optimize the rule base of FLC. Variation of universe of discourse (UOD) can give coarse or fine control effects. With this variable UOD an adaptive gain tuning method is used to improve performance in transient and steady state. To show the improved performance of FLC and effectiveness of these methodologies, it is applied to design of attitude control system for a flexible spacecraft which has inherently a strong nonlinearities such as a hysteresis and a dead band.","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133344789","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":"Serial failure diagnosis of computer system by Petri net","authors":"M. Katsumata, M. Kurihara, A. Ohuchi, Y. Sugasawa","doi":"10.1109/SICE.1995.526697","DOIUrl":"https://doi.org/10.1109/SICE.1995.526697","url":null,"abstract":"Network technologies have rapidly developed and distributed computer control systems which are of asynchronous and parallel characteristics are very useful in various fields. However, it is very difficult to figure out the factors of failure of such systems. In this paper, we make a Petri net model of a simple distributed computer control system consisting of a main system and a subsystem, and show how to diagnose serial failure of the system by analyzing invariant sets of the model.","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116508751","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 H/sub /spl infin// controller for precise positioning system","authors":"A. Yamauchi, T. Murakami, A. Morán, M. Hayase","doi":"10.1109/SICE.1995.526669","DOIUrl":"https://doi.org/10.1109/SICE.1995.526669","url":null,"abstract":"The control system of a positioning mechanism with resonance and Coulomb friction has been designed using H/sub /spl infin// control theory, and the control performance has been verified by computer simulation and experimental analysis. DGKF type H/sub /spl infin// control with scalar weighting factors and GD type H/sub /spl infin// control with frequency-dependent weighting function based on integral action were utilized for designing the control system. The followings have been confirmed from this study: (1) H/sub /spl infin// control has good robustness properties for a wide range of operating conditions in the presence of external disturbances such as Coulomb friction. (2) DGKF type H/sub /spl infin// controller presents better convergence and robustness properties than GD type H/sub /spl infin// controller.","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121647254","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":"Feedback linearization for SMA (shape memory alloy)","authors":"K. Arai, S. Aramaki, K. Yanagisawa","doi":"10.1109/SICE.1995.526714","DOIUrl":"https://doi.org/10.1109/SICE.1995.526714","url":null,"abstract":"The problem of the SMA (shape memory alloy) which is appropriate actuator for micromanipulator is its hysteresis characteristic. To get a high controllability of SMA, feedback linearization method that is based on the continuous modeling of SMA was applied. As the result easily designed nonlinear feedback system was achieved. Furthermore, this control method was applied to the control of two-link SMA micromanipulator and /spl plusmn/0.5 mm positioning accuracy was achieved.","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129088937","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 learning method of multilayer neural networks for pruning hidden units","authors":"H. Takechi, K. Murakami","doi":"10.1109/SICE.1995.526961","DOIUrl":"https://doi.org/10.1109/SICE.1995.526961","url":null,"abstract":"This paper presents a learning method of multilayer neural networks for pruning hidden units. In this method, the learning rates of each unit are adaptively changed to unbalance the influence of the hidden units on the network. With this method, useless hidden units are easily found and networks with small number of hidden units are constructed.","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128003655","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}