| 研究課題/領域番号 |
23K03913
|
|---|
| 研究種目 |
基盤研究(C)
|
| 配分区分 | 基金 |
|---|
| 応募区分 | 一般 |
|---|
| 審査区分 |
小区分21040:制御およびシステム工学関連
|
|---|
| 研究機関 | 芝浦工業大学 |
|---|
研究代表者 |
|
|---|
| 研究期間 (年度) |
2023-04-01 – 2026-03-31
|
| 研究課題ステータス |
交付 (2023年度)
|
| 配分額 *注記 |
2,600千円 (直接経費: 2,000千円、間接経費: 600千円)
2025年度: 910千円 (直接経費: 700千円、間接経費: 210千円)
2024年度: 1,040千円 (直接経費: 800千円、間接経費: 240千円)
2023年度: 650千円 (直接経費: 500千円、間接経費: 150千円)
|
|---|
| キーワード | data-driven control / control systems / stochastic systems / Control systems / Data-driven control / Nonlinear control / Machine learning / Stochastic systems |
|---|
| 研究開始時の研究の概要 |
This project aims to utilize switched stochastic systems theory, data-driven control theory, and nonlinear functional analysis to develop new data-collection algorithms and data-driven control methods that provide mathematical guarantees for stabilization of nonlinear systems.
|
| 研究実績の概要 |
In the initial phase of this project, there were four main research achievements.
1) Data-driven control of unknown systems: A data-driven control design method was proposed for linear systems with unknown dynamics and input quantization. This method can be used when the system model during data collection is different from the model during control execution.
2) Handling noisy data in optimization problems: A method was proposed to solve multi-objective optimization problems despite noisy data.
3) Search-based testing approaches: A method was developed to use data from a simulator to test an automated driving system.
4) Moment propagation of stochastic systems: A framework was developed to calculate the future statistical moments of the states of a stochastic system.
|
| 現在までの達成度 (区分) |
現在までの達成度 (区分)
1: 当初の計画以上に進展している
理由
This project involves using data coming from a system to learn more about it in order to develop effective controllers. Collaborations with researchers from control theory and computer science fields yielded new results in data collection approaches and new ways of using of data for learning processes and systems in optimization and testing domains.
|
| 今後の研究の推進方策 |
In the next term of this project, the following research topics will be the main focus:
1) Data-driven control of nonlinear systems with uncertainty will be addressed. A method that stabilizes periodic orbits will be developed.
2) Software will be developed for testing approaches that utilize data obtained from simulators.
3) Testing methods developed for automated driving systems will be expanded to cover other domains including aerial vehicles.
4) Game-theoretical analyses of multi-agent systems is an important topic that will be addressed.
|
