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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| WBS, ITS, RCC | 2024-12-04 10:15 |
Kagoshima | Kagoshima Prefectural Culture Center (Primary: On-site, Secondary: Online) |
Temporal Logic Model Predictive Control with Guaranteed Feasibility for Spatially Distributed Systems Ikkei Komizu, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.)  WBS2024-35 ITS2024-16 RCC2024-40 |
In this paper, we propose a model predictive control method of spatially distributed systems based on temporal logic spe... [more] | WBS2024-35 ITS2024-16 RCC2024-40 pp.29-33 |
| RISING (3rd) |
2024-11-11 13:20 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Distributed Model Predictive Control-Based Trajectory Control for Multiple Aerial Base Stations Haruka Tanaka, Tatsuaki Kimura (Doshisha Univ.) |
Aerial base stations (ABSs), which are cellular base stations mounted on unmanned aerial vehicles (UAVs), have gained at... [more] | |
| NLP, CAS | 2024-10-18 16:20 |
Tottori | Information Center, Tottori University | A Case Study in Selection of Observables for Koopman Model Predictive Control Tatsuya Tone, Naoyuki Hara, Keiji Konishi, Yoshiki Sugitani (Osaka Metropolitan Univ.) CAS2024-61 NLP2024-91 |
Recently, Koopman model predictive control (KMPC) for nonlinear systems has attracted considerable attention. In this st... [more] | CAS2024-61 NLP2024-91 pp.170-173 |
| RCC, RCS, SeMI, NS, SR, RISING (Joint) |
2024-07-18 09:25 |
Hokkaido | Hokkaido Citizens Activities Promotion Center (Primary: On-site, Secondary: Online) |
Vehicle platooning Based on Pinning Consensus Control Ikumi Kidokoro, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) RCC2024-25 |
In this paper, we propose a method of vehicle platooning based on pinning consensus control. One of the control problems... [more] | RCC2024-25 pp.39-42 |
| 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 |
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| 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 |
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| 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 |
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