1. A New Model-Free Predictive Control Method Using Input and Output Data
- Author
-
Shigeru Yamamoto
- Subjects
Identification (information) ,Model predictive control ,Adaptive control ,Data-driven approach ,Computer science ,Control theory ,Control system ,Control (management) ,General Engineering ,Control engineering ,Model free ,Predictive control - Abstract
金沢大学融合研究域融合科学系, The purpose of this paper is to present a new predictive control utilizing online data and stored data of input/output of the controlled system. The conventional predictive control methods utilize the mathematical model of the control system to predict an optimal future input to control the system. The model is usually obtained by a standard system identification method from the measured input/output data. The proposed method does not require the mathematical model to predict the optimal future control input to achieve the desired output. This control strategy, called just-in-time, was originally proposed by Inoue and Yamamoto in 2004. In this paper, we proposed a simplified version of the original just-in-time predictive control method. © (2014) Trans Tech Publications, Switzerland., 研究者情報DB
- Published
- 2014