Abstract
Reconfiguration blocks are structures that have been successfully employed for fault-tolerant control. In this regard, the technique known as fault hiding usually inserts the reconfiguration blocks between the faulty system and the nominal controller to recover the system properties without modifying the controller. In addition to fault hiding, novel applications to reconfiguration blocks have been recently proposed, including to networked and cyber-secure control. In this talk, we will address the key concepts related to the use of reconfiguration blocks and fault hiding. In addition, it presents an overview of the existing structures of reconfiguration blocks and the main methodologies to design those blocks for fault hiding. Moreover, it revises the main applications of reconfiguration blocks, including the emerging applications out of the fault-tolerant control scope. Finally, this talk also discusses the main challenges and further research directions related to this topic.
Biographical Information
Iury Bessa received his B.Sc., in 2014, and Master degrees, in 2015, all in Electrical Engineering from Federal University of Amazonas, Brazil. He received his Ph.D. degree in Electrical Engineering with the D!FCOM laboratory at Federal University of Minas Gerais . During his Ph.D., he was a visiting scholar at the Advanced Control Systems group, Polytechnic University of Catalonia (UPC), Spain, from February to December 2020. Since 2015, he has been an Assistant Professor at the Department of Electricity and is head of the e-Controls research group, Federal University of Amazonas, Brazil. He was a visiting scholar at the Department of Computer Science, University of Oxford, UK, in October 2016, and at the Institute for Information and Communication Technologies, Electronics and Applied Mathematics, Catholic University of Louvain, Belgium, from April to August 2024. His research interests include control theory, fault-tolerant control, fault detection, diagnosis and prognosis, formal verification and synthesis, learning-based control, cyber-physical systems, and computational intelligence.