| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, WBS, RCC | 2023-12-22 11:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
Asynchronous Multihop Wireless Network Control System Koki Yoshida, Koji Ishii (Kagawa Univ.)  WBS2023-51 ITS2023-34 RCC2023-45 |
A multi-hop control network (MHCN) has been proposed, wherein multiple controllers control multiple controlled ob-jects ... [more] | WBS2023-51 ITS2023-34 RCC2023-45 pp.117-122 |
| MSS, CAS, IPSJ-AL [detail] | 2023-11-16 13:00 |
Okinawa | Effectiveness of considering passenger state for Ride Comfort Improvement in Autonomous Vehicle's velocity planning Takumi Todaka, Kaito Sato, Kenji Sawada (UEC), Junichi Takano, Katsuhiko Sando, Shohei Imaji (Nissan) CAS2023-61 MSS2023-31 |
Path planning in autonomous vehicles enhances fuel efficiency and path-following performance in comparison to manual dri... [more] | CAS2023-61 MSS2023-31 pp.7-12 |
|
| MSS, CAS, IPSJ-AL [detail] | 2023-11-16 16:50 |
Okinawa | Model Predictive Control of Spatially Distributed Systems with Temporal Logic Specifications in Finite Time Ikkei Komizu, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2023-71 MSS2023-41 |
In this paper, we propose a model predictive control of spatially distributed systems based on temporal logic specificat... [more] | CAS2023-71 MSS2023-41 pp.59-62 |
|
| MSS, CAS, IPSJ-AL [detail] | 2023-11-16 17:10 |
Okinawa | Evaluation of Effectiveness of Intervention Strategy in Control Simulation Experiment through Comparison with Model Predictive Control Rikuto Nagai, Masaki Ogura (Osaka Univ.), Shunji Kotsuki (Chiba Univ.), Naoki Wakamiya (Osaka Univ.) CAS2023-72 MSS2023-42 |
The Control Simulation Experiment (CSE) is an attempt to develop weather control methods in the field of weather theory.... [more] | CAS2023-72 MSS2023-42 pp.63-68 |
|
| RCC, ISEC, IT, WBS | 2023-03-15 09:55 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
Control of Multi-robot Systems Using A Future Map Aki Matsutaka (Nagoya Univ.), Shun-ichi Azuma (Kyoto Univ.), Ryo Ariizumi, Toru Asai (Nagoya Univ.) IT2022-108 ISEC2022-87 WBS2022-105 RCC2022-105 |
This research was presented at "the 66th Conference of the Institute of Systems, Control and Information Engineers" and ... [more] | IT2022-108 ISEC2022-87 WBS2022-105 RCC2022-105 pp.251-256 |
| EE | 2023-01-19 15:40 |
Fukuoka | Kyushu Institute of Technology (Primary: On-site, Secondary: Online) |
A Study on Model Predictive Control DC-DC Converter Using Dynamic Quantization Kohei Yamamoto, Hidenori Maruta (Nagasaki Univ.) EE2022-39 |
Model predictive control of DC-DC converters is a control method that requires a large amount of computation for predict... [more] | EE2022-39 pp.72-77 |
| CAS, SIP, VLD, MSS | 2022-06-16 10:50 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Multi-Agent Surveillance Based on Equitability of Travel Costs Kyohei Murakata, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2022-3 VLD2022-3 SIP2022-34 MSS2022-3 |
In this paper, we consider the surveillance problem by multiple agents. A surveillance area is modeled by a directed gra... [more] | CAS2022-3 VLD2022-3 SIP2022-34 MSS2022-3 pp.13-16 |
| RCS, SIP, IT | 2022-01-20 16:15 |
Online | Online | [Invited Talk]
When Deep Unfolding Meets Control Engineering Masaki Ogura (Osaka Univ.) IT2021-45 SIP2021-53 RCS2021-213 |
Deep unfolding is a technique for tuning parameters for accelerating the convergence of iterative algorithms, and has be... [more] | IT2021-45 SIP2021-53 RCS2021-213 p.95 |
| SS, MSS | 2022-01-11 17:05 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Scalable Model Predictive Control of Energy Management Systems Based on Human Behavior Change Shogo Shimamoto, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2021-43 SS2021-30 |
In this paper, we consider the incorporation of human decision making into an energy management system. Here, we conside... [more] | MSS2021-43 SS2021-30 pp.70-73 |
| MSS, CAS, IPSJ-AL [detail] | 2021-11-19 11:45 |
Online | Online | Multi-Agent Surveillance Based on Travel Cost Minimization Kyohei Murakata, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2021-50 MSS2021-30 |
In this paper, we consider the surveillance problem by multiple agents. A surveillance area is modeled by a directed gra... [more] | CAS2021-50 MSS2021-30 pp.76-79 |
| ITS, IEE-ITS, IPSJ-ITS | 2021-09-07 13:30 |
Online | Online | Optimal Signal Control Based on Genetic Algorithm for an Ultradiscrete Traffic Flow Model in order for Reduction of Traffic Jams Yuuki Aoki, Tatsuya Kai (Tokyo Univ. of Science) ITS2021-6 |
The purpose of this study is to reduce total number of traffic jams of an ultradiscrete traffic flow model by controllin... [more] | ITS2021-6 pp.7-11 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-14 16:35 |
Online | Online | [Invited Talk]
Optimal Control of Multi-Agent Systems: Surveillance Problem and Vehicle Platooning Koichi Kobayashi (Hokkaido Univ.) RCC2021-29 NS2021-39 RCS2021-84 SR2021-27 SeMI2021-15 |
In this talk, our results on control of multi-agent systems are introduced. First, the surveillance problem is introduce... [more] | RCC2021-29 NS2021-39 RCS2021-84 SR2021-27 SeMI2021-15 p.36(RCC), p.38(NS), p.38(RCS), p.41(SR), p.20(SeMI) |
| SIP, CAS, VLD, MSS | 2021-07-05 16:25 |
Online | Online | Thermal Comfort Aware Real-time Co-scheduling of HVAC, Battery System, and Smart Appliances for Smart Building Daichi Watari, Ittetsu Taniguchi (Osaka Univ.), Francky Catthoor (IMEC/KUL), Charalampos Marantos (NTUA), Kostas Siozios (AUTH), Elham Shirazi (IMEC/KUL), Dimitrios Soudris (NTUA), Takao Onoye (Osaka Univ.) CAS2021-8 VLD2021-8 SIP2021-18 MSS2021-8 |
Building energy management is vital for reducing electricity costs and maximizing occupant comfort. This paper proposes ... [more] | CAS2021-8 VLD2021-8 SIP2021-18 MSS2021-8 pp.36-41 |
| NLP, CCS | 2021-06-11 13:55 |
Online | Online | A Blending Stabilization Method of Discrete Mechanics and Nonlinear Optimization for 2-dimensional Nonlinear Films Makoto Koike, Tatsuya Kai (Tokyo Univ. of Science) NLP2021-7 CCS2021-7 |
The aim of this study is to develop a stabilization control method for 2-dimensional nonlinear film, which is one of th... [more] | NLP2021-7 CCS2021-7 pp.28-33 |
| NLP, MSS (Joint) |
2021-03-15 14:30 |
Online | Online | Design of Model Predictive-Based Demand Response Utilizing Price Information Masafumi Murata, Koichi Kobayashi (Hokkaido Univ.), Shun-ichi Azuma (Nagoya Univ.), Nobuyuki Yamaguchi (Tokyo Univ. of Science), Yuh Yamashita (Hokkaido Univ.) MSS2020-46 |
In this paper, we propose a method of demand response (DR) based on model predictive control. In the authors' previous m... [more] | MSS2020-46 pp.14-17 |
| NLP, MSS (Joint) |
2021-03-15 14:55 |
Online | Online | Control of Energy Management Systems via Human Decision-Making Models Using Markov Chains Shogo Shimamoto, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2020-47 |
In this paper, we consider the incorporation of human decision making into an energy management system. Here, we conside... [more] | MSS2020-47 pp.18-21 |
| NLP, MSS (Joint) |
2021-03-16 09:15 |
Online | Online | Modeling Inter-sector Air Traffic Flow and Congestion Degree Prediction Ryosuke Mishima, Kunihiko Hiraishi (JAIST) MSS2020-49 |
In 2015, the Ministry of Land, Infrastructure and Transportation have started to provide information on aircraft flying ... [more] | MSS2020-49 pp.27-32 |
| RCC | 2021-01-22 13:30 |
Online | Online | Maximum Turn-off Control Based on Block-sparse Optimization and Its Feedback Control Takumi Iwata, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai (Nagoya Univ.) RCC2020-34 |
In this paper, maximum turn-off control and its feedback control are considered. Maximum turn-off control is, in the cas... [more] | RCC2020-34 pp.1-3 |
| ITS, WBS, RCC | 2020-12-14 10:20 |
Online | Online | A study on joint optimization of control input and communication scheduling in IEEE 802.15.4 network Masashi Shiota, Koji Ishii (Kagawa Univ) WBS2020-10 ITS2020-6 RCC2020-13 |
When applying IEEE 802.15.4 beacon mode into the wireless networked control system (WNCS) with multiple– plants, individ... [more] | WBS2020-10 ITS2020-6 RCC2020-13 pp.13-18 |
| MSS, CAS, IPSJ-AL [detail] | 2020-11-26 15:50 |
Online | Online | Model Predictive Control of Energy Management Systems with Human Decision Making Shogo Shimamoto, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2020-35 MSS2020-27 |
It is important to consider human decision making in order to control energy consumption. In this paper, we consider hum... [more] | CAS2020-35 MSS2020-27 pp.91-95 |
[Return to Top Page]