{"title":"Control of an omnidirectional mobile robot","authors":"Keigo Watanabe","doi":"10.1109/KES.1998.725827","DOIUrl":"https://doi.org/10.1109/KES.1998.725827","url":null,"abstract":"Holonomic or nonholonomic omnidirectional mobile robots are known to be constructed by applying a specialized wheel or mobile mechanism. In particular, some representative control approaches are described for a holonomic and omnidirectional mobile robot with three lateral orthogonal-wheel assemblies. The uses of resolved acceleration control method, PID method, fuzzy model method, and stochastic fuzzy servo method are highlighted.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123114839","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":"Knowledge-based Doppler blood-velocimeter system","authors":"B. Das, S. Banerjee","doi":"10.1109/KES.1998.725991","DOIUrl":"https://doi.org/10.1109/KES.1998.725991","url":null,"abstract":"A scheme of a knowledge-based Doppler blood-velocimeter system using an artificial neural network is proposed. The scheme supports feature extraction from a Doppler ultrasonography periodogram, and comparison with statistical data to make therapeutic studies on that basis. A physical model of blood flow with salient features taken into account, spectral estimation using the time varying autoregressive moving average (ARMA) model, and an artificial neural network (ANN) scheme for the determination of the coefficients of the ARMA model has been presented.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121821335","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":"Multimedia signal processing and communications","authors":"H. Wu","doi":"10.1109/KES.1998.725841","DOIUrl":"https://doi.org/10.1109/KES.1998.725841","url":null,"abstract":"This paper presents an overview in the area of multimedia computing and communications. It raises some of the issues in processing and communication of real-time multimedia materials which need to be addressed.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116968854","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":"Sliding mode control with fuzzy tuning for an electrohydraulic position servo system","authors":"Q. Ha, H. Q. Nguyen, D. Rye, H. Durrant-Whyte","doi":"10.1109/KES.1998.725838","DOIUrl":"https://doi.org/10.1109/KES.1998.725838","url":null,"abstract":"This paper presents a novel robust sliding mode controller for a class of nonlinear systems. The control signal consists of: an equivalent control to assign the desired dynamics to the closed-loop system, a switching control to guarantee a sliding mode, and a fuzzy control to enhance fast tracking and to attenuate chattering. Sufficient conditions for asymptotic tracking are achieved when matching conditions are satisfied. The control method is applied to the position control of an electrohydraulic servo system. To verify the potential and effectiveness of the proposed controller, simulation results are given to demonstrate its strong robustness against a large range of parameter variations, load disturbance and nonlinear spring stiffness.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121005980","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":"Stochastic fuzzy servo control using multiple linear dynamic models","authors":"Keigo Watanabe, K. Izumi, Fuha Han","doi":"10.1109/KES.1998.726011","DOIUrl":"https://doi.org/10.1109/KES.1998.726011","url":null,"abstract":"A fuzzy servo system is described for a system with noises by using a stochastic fuzzy control method with some linear dynamic models. The fuzzy servo approach is applied to the control of rotational angle for an omnidirectional mobile robot with three orthogonal-wheel assemblies. The stochastic fuzzy servo method and its modified method with a static evaluation on the model confidence are implemented for some simulations of the mobile robot. In particular, two improvement methods are shown for the case when a set of the prespecified linear models does not include a model comparable to the reference rotational angle.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121325943","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":"GA-based method for fuzzy optimal design of system reliability with incomplete FDS","authors":"T. Taguchi, T. Yokota, M. Gen","doi":"10.1109/KES.1998.725858","DOIUrl":"https://doi.org/10.1109/KES.1998.725858","url":null,"abstract":"In this paper, we formulate a fuzzy nonlinear integer programming problem as an optimal design of system reliability with incomplete fault detecting and switching (FDS) that includes fuzzy numbers which allow the decision-maker to be more flexible, and solve it directly by keeping the nonlinear constraint by using an improved genetic algorithm (GA). The GA employs the variable penalties and the criterion of unfeasible chromosomes for improved evaluation function and improved arithmetic crossover. As a result, the improved GA increases the search efficiency in the solution space. We discuss the efficiency by comparing the proposed GA with traditional simple GA (SGA).","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124908605","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":"Adjusting fuzzy weights in fuzzy neural nets","authors":"T. Feuring, J. Buckley, Y. Hayashi","doi":"10.1109/KES.1998.725940","DOIUrl":"https://doi.org/10.1109/KES.1998.725940","url":null,"abstract":"In order to train fuzzy neural nets fuzzy number weights have to be adjusted. Because fuzzy arithmetic automatically leads to monotonic increasing outputs a direct fuzzification of the backpropagation method does not work. Therefore, the focus is on other strategies like evolutionary algorithms. In this paper we suggest a backpropagation based method of adjusting the weights. Furthermore we can show that for the proposed method convergence can be guaranteed.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116398533","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":"Parallel implementation of vision algorithms on distributed systems","authors":"J. You, S. Hungenahally","doi":"10.1109/KES.1998.725994","DOIUrl":"https://doi.org/10.1109/KES.1998.725994","url":null,"abstract":"Vision computing involves the execution of a large number of operations on large sets of structured data. The need to implement vision tasks in parallel arises from the speed requirements of real-time environments in various application domains. In this paper we propose that a distributed computer system can be utilised to replace the specialised machine for the parallel implementation of vision tasks. We introduce some techniques used in distributed systems and adopt a divide-and-conquer policy to schedule the complex vision tasks for parallelism. Two traditional vision algorithms for matrix operation and image matching are implemented using PVM (parallel virtual machine). Furthermore, a hierarchical object recognition system is described as an example of parallelism on distributed systems. Finally we conclude that some vision tasks can be realised on a general distributed system to achieve the speedup at a low cost.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121994278","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":"Qualitative interpretation of process trends by using neural networks","authors":"Y. Yamashita","doi":"10.1109/KES.1998.725944","DOIUrl":"https://doi.org/10.1109/KES.1998.725944","url":null,"abstract":"Qualitative interpretation is a process to convert numerical output of sensors into symbolic representation. This process is one of the most critical path to connect intelligent systems with real world. In this paper, qualitative interpretation is realized as pattern-based classification of time-series signal by using ART2 neural networks. As an example, automatic classification of flow patterns in a pneumatic conveyor is successfully demonstrated.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122029981","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 metamorphic internal image with the complex learning system","authors":"J. Hakura, Kenji Miwa, H. Yokoi, Y. Kakazu","doi":"10.1109/KES.1998.725973","DOIUrl":"https://doi.org/10.1109/KES.1998.725973","url":null,"abstract":"This study presents an autonomous agent which is able to behave appropriately in the complex environment with unsophisticated sensors. To satisfy this aim, an internal cognitive space, called a metamorphic internal image space, is introduced. The metamorphic internal image space is a space that integrates the sensory inputs and the temporal change of the space, so that the agent is able to behave by relying only on the image. An agent with the metamorphic internal image is considered to have following two major characteristics: 1) it can learn the chain of actions considered as a behavior; and 2) it can move with/without the change of sensory input pattern. A learning mechanism based on a multi-agent system is introduced for the realization of the metamorphic internal image. The behavior of the multi-agent system can be regarded as a complex system. Computational experiments show the emergent behavior of the mobile agent with metamorphic internal image based on the complex learning system.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122125740","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}