A Hidden Block in a Grid Connected Active Front End System: Modelling, Control and Stability Analysis

Autor: Rahul Sharma, Firuz Zare, Dragan Nesic, Arindam Ghosh

Publikováno v: IEEE Access, Vol 5, Pp 11852-11866 (2017)

An LCL filter utilized in an active front end (AFE) converter can generate significant resonance, which can affect quality and stability of the system. Thus, a proper active or passive damping technique and/or a suitable controller is required to be

Externí odkaz: https://doaj.org/article/21cb10cc9f0e4fadbe52ecc0090ebb5f

Regularizing policy iteration for recursive feasibility and stability

Autor: Mathieu Granzotto, Olivier Lindamulage de Silva, Romain Postoyan, Dragan Nesic, Zhong-Ping Jiang

Publikováno v: 2022 IEEE 61st Conference on Decision and Control (CDC).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::807702231bf031e474af928cfe8c3da4
https://doi.org/10.1109/cdc51059.2022.9993315

An Unknown Input Multiobserver Approach for Estimation and Control Under Adversarial Attacks

Autor: Margreta Kuijper, Dragan Nesic, Tianci Yang, Carlos Murguia

Publikováno v: IEEE Transactions on Control of Network Systems, 8(1):9214921, 475-486. IEEE Control Systems Society
Pure TUe

We address the problem of state estimation, attack isolation, and control of discrete-time linear time-invariant systems under (potentially unbounded) actuator and sensor false data injection attacks. Using a bank of unknown input observers, each obs

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01e9aa22a0b8ecf7afa03a0d70eeab51
https://doi.org/10.1109/tcns.2020.3029160

Finite-Horizon Discounted Optimal Control: Stability and Performance

Autor: Romain Postoyan, Dragan Nesic, Jamal Daafouz, Lucian Busoniu, Mathieu Granzotto

Publikováno v: IEEE Transactions on Automatic Control
IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 2021, 66 (2), pp.550-565. ⟨10.1109/TAC.2020.2985904⟩

International audience; Motivated by (approximate) dynamic programming and model predictive control problems, we analyse the stability of deterministic nonlinear discrete-time systems whose inputs minimize a discounted finite-horizon cost. We assume

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7434f9ec68cc9fd3bf31898ab03418b8
https://doi.org/10.1109/tac.2020.2985904

Adaptive Scan for Atomic Force Microscopy Based on Online Optimization: Theory and Experiment

Autor: Kaixiang Wang, Dragan Nesic, Michael G. Ruppert, Yuen Kuan Yong, Chris Manzie

Publikováno v: IEEE Transactions on Control Systems Technology. 28:869-883

A major challenge in atomic force microscopy is to reduce the scan duration while retaining the image quality. Conventionally, the scan rate is restricted to a sufficiently small value in order to ensure a desirable image quality as well as a safe ti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e66b871f491158ebdf450265cb19e49a
https://doi.org/10.1109/tcst.2019.2895798