マルチコアプロセッサを用いた非線形モデル予測制御のための実時間最適化
Real-time Optimization for Nonlinear Model Predictive Control with Multi-core Processors
概要
Nonlinear model predictive control (NMPC) is an optimization-based control method for nonlinear systems. It is considered to be one of the most powerful and promising advanced control methods. However, its computation cost in solving the optimization problem online precludes its broader applications. With our proposed method tailored to parallel computing, the optimization problem can be solved in real-time efficiently with multi-core processors.
産業界への展開例・適用分野
NMPC can be applied to applications which concern about economy, performance, and safety. The following are some successful examples:
-process control: paper making, chemical processing, oil refining;
-automated driving: lane keeping, adaptive cruise control, obstacle avoidance;
-robot control;
-building energy control;
-glucose control for diabetes;
研究者
| 氏名 | 専攻 | 研究室 | 役職/学年 |
|---|---|---|---|
| Deng Haoyang | システム科学専攻 | 大塚研究室 | 博士3回生 |
| 大塚 敏之 | システム科学専攻 | 大塚研究室 | 教授 |