✦ LIBER ✦

Identification of nonlinear systems in the presence of unknown but bounded disturbances

✍ Scribed by Bontayeb, M.

Book ID: 118735346
Publisher: IEEE
Year: 2000
Tongue: English
Weight: 175 KB
Volume: 45
Category: Article
ISSN: 0018-9286
DOI: 10.1109/9.871759

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Adaptive tracking and asymptotic rejecti

Adaptive tracking and asymptotic rejection of unknown but bounded disturbances in nonlinear MIMO systems

✍ Hamid Khaloozadeh; Mohammad Ali Nekoui; Farid Shahni 📂 Article 📅 2010 🏛 Institute of Control, Robotics and Systems and The 🌐 English ⚖ 739 KB

ESTIMATION OF OUTPUT ERROR MODELS IN THE

ESTIMATION OF OUTPUT ERROR MODELS IN THE PRESENCE OF UNKNOWN BUT BOUNDED DISTURBANCES

✍ GILLES FERRERES; MOHAMMED M'SAAD 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 383 KB 👁 2 views

In the context of set membership identification the feasible parameter set is defined as the set of plant parameters which are consistent with the model structure, the assumptions on (unknown but bounded) disturbances and all available measurements. It appears more convenient in practice to build an

Comparison of the Two Methods of Identif

Comparison of the Two Methods of Identification under Unknown-but-Bounded Disturbances

✍ A. G. Aleksandrov; Yu. F. Orlov 📂 Article 📅 2005 🏛 SP MAIK Nauka/Interperiodica 🌐 English ⚖ 218 KB

Frequency domain design method for uncer

Frequency domain design method for uncertain systems under some unknown-but-bounded disturbances

✍ Shen, S.-K.; Lee, T.-T.; Wang, B.-C. 📂 Article 📅 1997 🏛 The Institution of Electrical Engineers 🌐 English ⚖ 685 KB

Asymptotic rejection of unknown sinusoid

Asymptotic rejection of unknown sinusoidal disturbances in nonlinear systems

✍ Zhengtao Ding 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 159 KB

State estimation in the presence of boun

State estimation in the presence of bounded disturbances

✍ Y. Becis-Aubry; M. Boutayeb; M. Darouach 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 461 KB

This contribution proposes a robust recursive algorithm for the state estimation of linear models with unknown but bounded disturbances corrupting both the state and measurement vectors. A novel approach based on state bounding techniques is presented. The proposed algorithm can be decomposed into t