{"title":"Prediction Methods for Traffic Accidents Using Formal Concept Analysis and Machine Learning","authors":"Shogo KOTANI, Masaki NAKAMURA, Kazutoshi SAKAKIBARA, Tatsuo MOTOYOSHI, Keisuke HOSHIKAWA","doi":"10.9746/sicetr.59.440","DOIUrl":"https://doi.org/10.9746/sicetr.59.440","url":null,"abstract":"Although the number of traffic accidents is decreasing in Toyama prefecture, the number of accidents related to elderly people is more than the average of Japan. Toward prevention of traffic accidents in consideration of coming high-aging society, we propose a way to analyze traffic accidents by using a data analysis method, called formal concept analysis (FCA), which is known to be useful to analyze relationships between data's attributes. We also propose a way to use FCA for a prediction of traffic accidents by using machine learning (ML). It is known that selection of features is important to obtain higher-precision ML models. We use FCA to obtain suitable features for ML.","PeriodicalId":486671,"journal":{"name":"Keisoku Jidō Seigyo Gakkai ronbunshū","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135103964","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":"機体の形状を考慮した制御バリア関数の積分設計法","authors":"Masaki YAKUWA, Hisakazu NAKAMURA","doi":"10.9746/sicetr.59.398","DOIUrl":"https://doi.org/10.9746/sicetr.59.398","url":null,"abstract":"In recent years, control barrier functions have attracted much attention for ensuring safety in collision avoidance and human assist control. However, control laws cannot guarantee the solution of differential equations without properly considering the shape of the target system. In this study, we designed a control law that considers the shape of the control target and designs a control barrier function for non-convex safe sets. Based on this, we proposed an integral control barrier function and confirmed its effectiveness by testing it for collision avoidance between a three-link robot arm and obstacles through simulation and experiment.","PeriodicalId":486671,"journal":{"name":"Keisoku Jidō Seigyo Gakkai ronbunshū","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135549875","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":"Just-In-Timeアプローチに基づくデータベース駆動型極値探索制御系の設計","authors":"Yasuhiro MAKINO, Shin WAKITANI, Toru YAMAMOTO","doi":"10.9746/sicetr.59.433","DOIUrl":"https://doi.org/10.9746/sicetr.59.433","url":null,"abstract":"In considering the efficiency and/or profitability of a system, a reference value should be set to maximize them. An extremum seeking (ES) control, a type of gradient method, does not require prior information related to the optimization function to find the extreme value of the optimization function. However, this scheme has a problem of taking time to reach an optimal value because the search point is updated repeatedly. This study proposes the database-driven extremum seeking control (DD-ES) method in order to solve the problem and applies the DD-ES to an anti-lock braking system (ABS) model to verify the effectiveness of the actual system case.","PeriodicalId":486671,"journal":{"name":"Keisoku Jidō Seigyo Gakkai ronbunshū","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135103934","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":"Stabilization Control for Differentially Flat System under Constant Disturbances","authors":"Takehiro KANAMORI, Hisakazu NAKAMURA","doi":"10.9746/sicetr.59.385","DOIUrl":"https://doi.org/10.9746/sicetr.59.385","url":null,"abstract":"The differentially flat system, a class of nonlinear systems, contains many mechanical systems. However, few control laws for differentially flat systems are tolerant of disturbances despite many mechanical systems suffer from some disturbances. We aim to design a stabilization control law for differentially flat systems under constant disturbances by using its linearizability and the minimum projection method. First, we design a static control Lyapunov function (CLF) that includes a disturbance for the nonlinear system via a CLF for the linearized system. After that, we prove the designed CLF satisfies the condition of an adaptive control Lyapunov function (ACLF). Finally, we demonstrate an example of designing the proposed adaptive controller for a PVTOL system under winds and verify the effectiveness of the proposed method.","PeriodicalId":486671,"journal":{"name":"Keisoku Jidō Seigyo Gakkai ronbunshū","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135549888","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":"可視領域の異方性を考慮した移動ロボット群の広域持続被覆制御","authors":"Hayate SUGAHARA, Akira KOJIMA","doi":"10.9746/sicetr.59.419","DOIUrl":"https://doi.org/10.9746/sicetr.59.419","url":null,"abstract":"A persistent coverage control problem in a complex geometry environment is considered for two-wheeled mobile robots with anisotropic sensor ranges. The persistent coverage control is one of the coverage control methods, which covers the region persistently along the gradient of the time-varying density function. In this paper, we first focus on the persistent coverage control for the two-wheeled mobile robots assuming that the sensing region is anisotropic, and derive a control law which coordinates the rotation and the forward motion. In order to achieve coverage control in the environments with complex geometry, we propose a region assignment planning by employing Monte Carlo tree search for the area allocation. The strength and limitation of the proposed method are discussed based on simulation and experimental results.","PeriodicalId":486671,"journal":{"name":"Keisoku Jidō Seigyo Gakkai ronbunshū","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135103949","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}