On the Parameter Estimation of Stochastic Switched ARX Model
スポンサーリンク
概要
- 論文の詳細を見る
This paper presents a parameter identification technique for a stochastic switched ARX model. The developed algorithm can be regarded as a natural extension of the learning algorithm for Hidden Markov Model (HMM), which is based on the EM algorithm. The results of the estimation of the parameter in the ARX model at each discrete state can be comprehended as a solution for the weighted least mean square estimation problem. The usefulness of the proposed technique is verified through some numerical experiments for the switched impedance model with and without existence of the modelling error.
- 公益社団法人 計測自動制御学会の論文
公益社団法人 計測自動制御学会 | 論文
- Self-Excited Oscillation of Relay-Type Sampled-Data Feedback Control System
- タイトル無し
- Mold Level Control for a Continuous Casting Machine Using an Electrode-Type Mold-Level Detector
- Assessment and Control of Noise:Pollution by Noise from General Sources
- Information network system and home automation.