Robustness Bounds for Receding Horizon Controls of Continuous-Time Systems with Uncertainties(Systems and Control)
スポンサーリンク
概要
- 論文の詳細を見る
This letter presents robustness bounds (RBs) for receding horizon controls (RHCs) of uncertain systems. The proposed RBs are obtained easily by solving convex problems represented by linear matrix inequalities (LMIs). We show, by numerical examples, that the RHCs can guarantee robust stabilization for a larger class of uncertain systems than conventional linear quadratic regulators (LQRs).
- 社団法人電子情報通信学会の論文
- 2006-04-01
著者
-
Han Soohee
Seoul National Univ. Seoul Kor
-
Han Soohee
Erc-aci Of Snu
-
Kwon Wookhyun
School Of Electrical Engineering & Computer Science Seoul National University
-
AHN ChoonKi
School of Electrical Engineering & Computer Science, Seoul National University
-
HAN SooHee
School of Electrical Engineering & Computer Science, Seoul National University
-
Ahn Choonki
Wonkwang Univ. Kor
関連論文
- New Recursive Least Squares Algorithms without Using the Initial Information
- Parametric Uncertainty Bounds for Stabilizing Receding Horizon H_∞ Controls(Systems and Control)
- Robustness Bounds for Receding Horizon Controls of Continuous-Time Systems with Uncertainties(Systems and Control)
- Maximum Frame Size Control Based on Predicted BER in Wireless Networks(Wireless Communication Technologies)
- Stability-Guaranteed Horizon Size for Receding Horizon Control(Systems and Control)