0% Complete
صفحه اصلی
/
سی و سومین کنفرانس بین المللی مهندسی برق
Improved Equivalent Input Disturbance Control of Nonlinear Aeropendulum System Using Data-Driven Approach
نویسندگان :
Mohammad Hossein Bayati
1
Arman Marzban
2
Mahsan Tavakoli-Kakhki
3
Ali Naseh
4
1- K.N.Toosi University of Technology
2- K.N.Toosi University of Technology
3- K.N.Toosi University of Technology
4- K.N.Toosi University of Technology
کلمات کلیدی :
Improved equivalent input disturbance (IEID)،Disturbance rejection،Uncertainty،Data-Driven،Willems’ Fundamental Lemma
چکیده :
This paper addresses the control problem of an uncertain system subjected to external disturbances. To this end, the Improved Equivalent-Input-Disturbance (IEID) approach is employed, offering reduced sensitivity to measurement noise compared to the conventional EID method. In this approach, estimating the equivalent input disturbance and replicating the effect of external disturbances and uncertainties on the system output requires knowledge of the governing system equations. However, leveraging Willems’ fundamental lemma, an offline-estimated model that closely approximates the nominal system behavior is derived using input-state data, alleviating the need for precise system equations. The efficacy of the proposed method is validated through simulations conducted on the aeropendulum system under external disturbance conditions.
لیست مقالات
لیست مقالات بایگانی شده
Modulation Classification with Convolutional Neural Network based Deep Learning in Elastic Optical Network
Ehsan Varasteh - Seyed Sadra Kashef - Morteza Valizadeh - Mehdi Ranjbar Zefreh
Dynamic State Estimation of Power System Using Gauss-Seidel Cubature Kalman Filter
Atiyeh Keshavarz-Mohammadiyan
تجزیه وابستگی با استفاده از Q-Learning محافظه کار
امیر زارعی - علیرضا خیاطیان - پیمان ستوده
Gesture recognition of hand movements using mechanomyography
Ashkan Elyasinia - Raheleh Davoodi - Sedighe Dehghani
Improving the Performance and Robustness of Non-Minimum Phase Systems Using Integrated Feedforward-IMC Technique
Saeedreza Tofighi
Unsupervised Change Detection in SAR Images Using a Six-Branch CNN and Adaptive Window Approach
Abbas Kakoolvand - Maryam Imani - Hassan Ghassemian
Effect of the Number of Quantum-Dot Layers on the Performance of the 1.3 µm InAs/GaAs VCSELs
Sara Alaei - Mahmood Seifouri - Saeed Olyaee - Gholamreza Babaabbasi
Enhancing Brain Tumor Classification in OCT Images using Local Phase Quantization Features
Naeem Eslamyeh Hamedani - Hasti Shabani
A fair-optimal solution for multi-objective optimization based on Shapley value
Mohammadreza Mohammadhasani - Habib Rajabi Mashhadi
Comparison of the MRT and ZF Precoding in Massive MIMO Systems from Energy Efficiency Viewpoint
Mahdi Nangir - Abdolrasoul Sakhaei Gharagezlou - Nima Imani
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2