{"title":"Event-Triggered Formation Control of a Generalized Multi-Agent System","authors":"Ryo Toyota, T. Namerikawa","doi":"10.23919/SICE.2018.8492671","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492671","url":null,"abstract":"In this paper, we propose an event-triggered formation control algorithm for a multi-agent system consists of linear discrete agents in order to reduce energy consumption due to unnecessary calculation and communication of agents. By using the event-triggered protocol, which updates the control input aperiodically only when certain triggering condition is satisfied, calculation and communication frequency are reduced. Also the multi-agent system is guaranteed an almost sure stability by determining the control input update timing by the triggering condition which is based on Lyapunov's stability theorem. Finally we verify the effectiveness of the proposed algorithm by numerical simulation.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124031833","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}
Tomohiro Kanagawa, H. Takanobu, H. Hanai, Kenji Suzuki, H. Miura
{"title":"Rolling Over Motion of a Humanoid Robot Simulating Human Functional Change","authors":"Tomohiro Kanagawa, H. Takanobu, H. Hanai, Kenji Suzuki, H. Miura","doi":"10.23919/SICE.2018.8492541","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492541","url":null,"abstract":"Recent studies on “robots that develop like software by reinforced learning” are actively researched. However, there are few robots that have a mechanism whereby hardware grows like human beings. Present study, we are developing a humanoid robot simulating human physical changes and changes in sensory organs and aiming to express characteristics of each age. The final goal is to simulate the life from the baby to the elderly using a humanoid robot. In this paper we describe growth mechanism of height, weight. Also verify the results of reproducing human rolling over motion.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126113605","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":"Distributed Optimization in Discrete-time Multi-Agent Systems with Independent Step Size","authors":"Jie Lian, Yangwei Chen","doi":"10.23919/SICE.2018.8492556","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492556","url":null,"abstract":"In this paper, we develop a distributed algorithm for multiple agents aiming to solve an optimization problem. The communication topology among these agents is governed by an undirected graph. In our algorithm, each agent has an independent step-size, the upper bound of which are independent on network topologies. The step-sizes only depend on local objective functions. The algorithm is with different step-sizes and guarantees the convergence of the agent states to a common point. With such step-size range, the states of each agent converge to a common optimal point at a linear rate $O(kappa^{-k})$ where $0 < kappa < 1$ and $k$ is the number of iterations. As compared to the existing approaches, we only require that the local cost function of each agent is convex rather than strongly convex. Finally, the numerical examples are given to validate the theoretical results.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124619645","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}
Adamo Santana, Kenya Murakami, T. Iizaka, T. Matsui, Y. Fukuyama
{"title":"One Class Data Mining Approaches for Leakage Fault Detection in Refrigeration Showcases","authors":"Adamo Santana, Kenya Murakami, T. Iizaka, T. Matsui, Y. Fukuyama","doi":"10.23919/SICE.2018.8492657","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492657","url":null,"abstract":"In the area of fault analysis, it is usually the case when labeled data is not available for training accurate classifiers in discriminating between the normal function conditions and abnormal events. This paper will address the problem of fault identification for refrigeration showcases, which also follows the aforementioned setting, and whose continuous and ample use in commerce requires that unusual conditions and faults to be identified as quickly (and reliably) as possible. While the data for one class is available in problems of this nature, we will be considering not only specific algorithms for unary classification, but also the performance in the application of supervised and unsupervised machine learning algorithms. Results showed the value of the implemented approaches in narrowing down anomalous events with more consistency, when compared to the statistical method standardly employed to this task.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128201247","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 Distributed Algorithm via Consensus and Saddle Point Dynamics for Economic Dispatch Problem in Energy Networked Systems","authors":"P. Hoang, Chuong Van Nguyen, K. Sakurama, H. Ahn","doi":"10.23919/SICE.2018.8492551","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492551","url":null,"abstract":"This paper proposes a distributed algorithm in tackling the problem of economic dispatch under generation constraints, which is a constrained optimization problem, in energy networked systems. The designed algorithm utilizes a consensus protocol and a saddle point dynamics idea to solve the problem with strictly convex objective functions in a fully distributed manner. In addition, it is shown that the private information of agents in the interconnected network is guaranteed in our proposed strategy. Furthermore, our algorithm shows a fully distributed property compared to existing works. The theoretical guarantees on the optimality of the solution are provided by rigorous analysis.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130194807","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}
Yuya Morinaga, K. Sakakibara, Takuya Matsumoto, M. Ohara, Ittetsu Taniguchi, H. Tamaki
{"title":"Hybrid Approach Mixing Mathematical Programming and Machine Learning Techniques for Thermal Grid Systems","authors":"Yuya Morinaga, K. Sakakibara, Takuya Matsumoto, M. Ohara, Ittetsu Taniguchi, H. Tamaki","doi":"10.23919/SICE.2018.8492548","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492548","url":null,"abstract":"We focus on thermal grid systems which aim to control a number of air conditioning systems as a unit for achieving highly energy-efficient buildings. In order to realize real-time control of them, we propose hybrid systems in which artificial neural networks are involved and it is trained by using mathematical programming techniques determining the outputs of the air conditioning machines in multi-periods. Through some numerical experiments with the actual settings of the thermal grid systems, the potential of our proposed method is examined.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121078590","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":"Feature Transform Optimization for Pedestrian Classification","authors":"Yuuki Nakashima, J. Tan","doi":"10.23919/SICE.2018.8492633","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492633","url":null,"abstract":"In this paper, we propose a FTOP (Feature Transform Optimization Problem) and its solution. We propose a method to optimize both parameters and processing order of feature transform simultaneously, not limited to convolution and pooling included in CNN (Convolutional Neural Network). In order to realize the optimization, we formulate it as a combinatorial optimization problem and solve it by meta-heuristics. The effectiveness of the proposed method is shown by applying the proposed method to pedestrian classification based on a benchmark data set.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"362 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115280684","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}
Tokuo Tsuji, H. Seki, Daisuke Inada, Ken'ichi Morooka, K. Harada, K. Tahara, M. Hikizu, H. Seki
{"title":"Grasp Synergy Analysis Based on Contact Area of Fingers Using Thermal Signatures","authors":"Tokuo Tsuji, H. Seki, Daisuke Inada, Ken'ichi Morooka, K. Harada, K. Tahara, M. Hikizu, H. Seki","doi":"10.23919/SICE.2018.8492623","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492623","url":null,"abstract":"We propose a new method for analyzing human grasping motion using an infrared camera. This technique simplifies the teaching of motion to robots based on the observation of human motion. In this method, the contact area on the object is extracted by observing the thermal signature captured by an infrared camera. To understand the intention of human behavior, we propose a grasping identification method using 3D thermal signatures. In addition, we perform a principal component analysis on the contact area and the center of gravity for the contact area of each finger. This method expresses the grasp motion space with a small number of parameters and can be used to enable easy correspondence between human and robot hands. We confirm experimentally that the proposed method is effective for teaching motion to robot.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121476484","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":"High Precise Estimation of Propagation Time and Reflection Phase Shift Based on Time-Frequency Analysis on Microwave Radar","authors":"Kento Suzuki, Daisuke Hagiwara, J. Takayama","doi":"10.23919/SICE.2018.8492574","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492574","url":null,"abstract":"On a nondestructive inspection using the microwave radar, there are so many researches aiming metallic buried objects. On the other hand, those aiming nonmetallic ones such as a resin are very few. In this research, we propose two kind of high precise estimation methods for microwave propagation time based on the time-frequency analysis focusing on a phase shift when microwaves are reflected on surface of buried objects. In addition, we analyze observed microwaves by using proposed methods and evaluate the effectiveness of them on a propagation time estimation process. As a result, we have achieved high precise propagation time estimation results in both cases of metallic and nonmetallic buried objects. However, we have confirmed that an advanced consideration on noise reduction is necessary for higher precision of a propagation time estimation.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122630556","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}
W. Sriratana, Vanisara Kaewnamchai, Erdlekha Sriratana
{"title":"A Study on Influences of Metal Materials on Electromagnetic Field Generated by Pure DC and Combined DC","authors":"W. Sriratana, Vanisara Kaewnamchai, Erdlekha Sriratana","doi":"10.23919/SICE.2018.8492709","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492709","url":null,"abstract":"This paper presents the classification of metals materials by application of Hall Effect sensor based on the eddy current method with non-destructive testing. The electromagnetic field was generated by winding an SWG 22 wire onto the ferrite core to create a solenoid. Two measurement systems are used. One uses a Pure DC supply as the excitation voltage of the electromagnetic field of the Hall Effect sensor system; while the other uses a combination of AC and DC supply, which is amplified through an integrated Class-A amplifier circuit, as the excitation voltage. Three different metal samples, namely, steel, aluminum and stainless steel were used as specimen. Current test conducted to determine the suitable current level revealed that a 0.8 A current is safe to allow tests to be conducted. Results show that the Combined DC system is capable to classify conductive materials, where the Pure DC system lacks in this functionality. The Output voltage of Hall Effect sensor to test with steel, aluminum and stainless steel is 4.68 V, 1.74 V and 3.63 V, respectively. Furthermore, the use of the Combined DC system enables aluminum thickness to be distinguished. The tolerance of the system measuring the materials when using the Pure DC and Combined DC are $pm 0.0697%$ and $pm 0.5853^{0}%$ respectively.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131925191","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}