Pub Date : 1995-07-26DOI: 10.1109/SICE.1995.526659
Jinglu Hu, K. Kumamaru
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 .
{"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}
Pub Date : 1995-07-26DOI: 10.1109/SICE.1995.526971
Young Baek Kim, Sang Jeong Lee
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.
{"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}
Pub Date : 1995-07-26DOI: 10.1109/SICE.1995.526694
M. Hasheminejad, J. Murata, K. Hirasawa
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.
{"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}
Pub Date : 1995-07-26DOI: 10.1109/SICE.1995.526702
Seok-Yong Oh, Dong-Jo Park
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.
{"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}
Pub Date : 1995-07-26DOI: 10.1109/SICE.1995.526731
T. Ieko, Y. Ochi, K. Kanai, N. Hori
In the digital redesign approach considering the closed-loop characteristics of the underlying continuous-time (CT) control system, the plant input mapping (PIM) method has previously been proposed based on the plant input transfer function (PITF) discretized by the matched pole-zero model. The authors have subsequently proposed the modified algorithm of this method using the standard H/spl infin/ problem for redesigning into an one-degree-of-freedom (1-DOF) digital control system, and the discretization method of the PITF utilizing the inter-sample responses of the step invariance model for redesigning the multi-input multi-output (MIMO) CT control system. This paper presents its extension to the redesign for the two-degree-of-freedom (2-DOF) CT control system. The simulation studies are performed for the redesign of a digital CCV flight control system to illustrate the effectiveness of the proposed method.
{"title":"PIM digital redesign method and its application to the design of a digital flight controller","authors":"T. Ieko, Y. Ochi, K. Kanai, N. Hori","doi":"10.1109/SICE.1995.526731","DOIUrl":"https://doi.org/10.1109/SICE.1995.526731","url":null,"abstract":"In the digital redesign approach considering the closed-loop characteristics of the underlying continuous-time (CT) control system, the plant input mapping (PIM) method has previously been proposed based on the plant input transfer function (PITF) discretized by the matched pole-zero model. The authors have subsequently proposed the modified algorithm of this method using the standard H/spl infin/ problem for redesigning into an one-degree-of-freedom (1-DOF) digital control system, and the discretization method of the PITF utilizing the inter-sample responses of the step invariance model for redesigning the multi-input multi-output (MIMO) CT control system. This paper presents its extension to the redesign for the two-degree-of-freedom (2-DOF) CT control system. The simulation studies are performed for the redesign of a digital CCV flight control system to illustrate the effectiveness of the proposed method.","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":"130168006","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}
Pub Date : 1995-07-26DOI: 10.1109/SICE.1995.526653
M. Yamamoto, T. Ohyanagi, A. Ohuchi
We present a new theorem proving procedure based on the partial instantiation technique, which is developed by Jeroslow. The proposed procedure is applicable to clausal form formulas in the first-order logic, as well as other resolution-based methods. We also show its completeness, i.e., it can verify that a given set of clauses is unsatisfiable if indeed it is unsatisfiable.
{"title":"Theorem proving based on the partial instatiation technique","authors":"M. Yamamoto, T. Ohyanagi, A. Ohuchi","doi":"10.1109/SICE.1995.526653","DOIUrl":"https://doi.org/10.1109/SICE.1995.526653","url":null,"abstract":"We present a new theorem proving procedure based on the partial instantiation technique, which is developed by Jeroslow. The proposed procedure is applicable to clausal form formulas in the first-order logic, as well as other resolution-based methods. We also show its completeness, i.e., it can verify that a given set of clauses is unsatisfiable if indeed it is unsatisfiable.","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"27 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":"125959523","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}
Pub Date : 1995-07-26DOI: 10.1109/SICE.1995.526714
K. Arai, S. Aramaki, K. Yanagisawa
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.
{"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}
Pub Date : 1995-07-26DOI: 10.1109/SICE.1995.526697
M. Katsumata, M. Kurihara, A. Ohuchi, Y. Sugasawa
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.
{"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}
Pub Date : 1995-07-26DOI: 10.1109/SICE.1995.526961
H. Takechi, K. Murakami
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.
{"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}
Pub Date : 1995-07-26DOI: 10.1109/SICE.1995.526719
J. Song, Y. Ishida
The paper discusses the poles placement of linear multivariable system using single feedback controller. Using this method to assign the poles of system, only one output and only one input in system are used to create the feedback controller. It replaces the problems of MIMO system with the problems of SISO system and achieves the poles placement of MIMO system with classical feedback theory. In this paper, the design method of controller is given, and the computer simulations are presented to illustrate the effect of this method.
{"title":"The poles placement for linear multivariable system using the single feedback controller","authors":"J. Song, Y. Ishida","doi":"10.1109/SICE.1995.526719","DOIUrl":"https://doi.org/10.1109/SICE.1995.526719","url":null,"abstract":"The paper discusses the poles placement of linear multivariable system using single feedback controller. Using this method to assign the poles of system, only one output and only one input in system are used to create the feedback controller. It replaces the problems of MIMO system with the problems of SISO system and achieves the poles placement of MIMO system with classical feedback theory. In this paper, the design method of controller is given, and the computer simulations are presented to illustrate the effect of this method.","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"36 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113934259","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}
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