The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control.

The main market area of the contributions include:

Advanced fault-tolerant control, control reconfiguration, health monitoring techniques for industrial systems, data-driven diagnosis methods, process supervision, diagnosis and control of discrete-event systems, maintenance and repair strategies, statistical methods for fault diagnosis, reliability and safety of industrial systems artificial intelligence methods for control and diagnosis, health-aware control design strategies, advanced control approaches, deep learning-based methods for control and diagnosis, reinforcement learning-based approaches for advanced control, diagnosis and prognosis techniques applied to industrial problems, Industry 4.0 as well as instrumentation and sensors.

These works constitute advances in the aforementioned scientific fields and will be used by graduate as well as doctoral students along with established researchers to update themselves with the state of the art and recent advances in their respective fields. As the book includes several applicative studies with several multi-disciplinary contributions (deep learning, reinforcement learning, model-based/data-based control etc.), the book proves to be equally useful for the practitioners as well industrial professionals.

Constitutes advances in Model-based and Data-driven Methods for Advanced Control and Diagnosis Comprises of Papers presented in 16th European Workshop on Advanced Control and Diagnosis (ACD 2022) Written by experts in advanced control, diagnosis, and health monitoring of systems

Autorentext

Didier Theilliol is a professor at Universite de Lorraine, within CRAN. He was a co-leader of CID research group (around 40 permanent researchers) at CRAN. He co-ordinates and leads national, European, and International R&D projects. His current research interests focused on health-aware control framework-based intelligent and classical model-based fault diagnosis method synthesis and active fault-tolerant control system design for linear time invariant, linear parameter varying, multi-linear systems and also reliability analysis. Most of the research activities are focused on distributed control systems and also on multi-agent systems. He has advised 16 Ph.D. students and published over 60 international journals papers/200 international conference papers and a book entitled ' Fault-tolerant Control Systems: Design and Practical Applications' (2009). He is currently an AE of ISA Transactions Journal, Journal of Intelligent and Robotic Systems, and International Journal of Applied Mathematics & Computer Science. He was an associate editor of IEEE Transactions on Reliability (2013-2016) and Unmanned Systems Journal (2012-2017). Didier Theilliol was the general chair and program chair of various international conferences sponsored by IEEE and IFAC (Systol, ICUAS, MED, ACD). He is one of the European Advanced Control and Diagnosis (EACD) and SysTol Association steering committee members. He is currently a member of the IFAC SAFEPROCESS and IFAC MMM TCs.

Józef Korbicz has been a full-rank professor of automatic control at the University of Zielona Góra, Poland, since 1994. In 2019, he was elected an ordinary member of the Polish Academy of Sciences (PAS). His current research interests include fault detection and isolation (FDI), control theory, and computational intelligence. He has published more than 380 scientific publications, authored or co-authored eight books, and co-edited seven books. It was confirmed, e.g., by offering him the prestigious position the IPC chairman of the IFAC Symposium SAFEPROCESS held in Beijing, China (2006), and NOC chairman of the NOC in Warsaw, Poland (2018). Together with Prof. J.M. Koscielny, he founded the so-called Polish SAFEPROCESS conferences on Diagnostics of Processes and Systems, DPS, organized every two years (last the 15th in 2022). He was the program co-chair (2010) of the International Conference on Control and Fault-Tolerant Systems, SysTol (2010), and the IPC chairman of the European Workshop on Advanced Control and Diagnosis, ACD (2009). **Now, he is the chairman of the ACD workshop steering committee. He is currently the chair of the Committee on Automatic Control and Robotics of the PAS, a life senior member of the IEEE, and a member of the IFAC SAFEPROCESS TC.

Janusz Kacprzyk is a professor of Computer Science at the Systems Research Institute, Polish Academy of Sciences, WIT - Warsaw School of Information Technology, and Chongqing Three Gorges University, Wanzhou, Chongqing, China, and a professor of Automatic Control at PIAP - Industrial Institute of Automation and Measurements in Warsaw, Poland. He is an honorary foreign professor at the Department of Mathematics, Yli Normal University, Xinjiang, China. He is a full member of the Polish Academy of Sciences, a member of Academia Europaea, European Academy of Sciences and Arts, European Academy of Sciences, a foreign member of the: Bulgarian Academy of Sciences, Spanish Royal Academy of Economic and Financial Sciences (RACEF), Finnish Society of Sciences and Letters, Flemish Royal Academy of Belgium of Sciences and the Arts (KVAB), National Academy of Sciences of Ukraine and Lithuanian Academy of Sciences. He was awarded with six honorary doctorates. He is a fellow of IEEE, IET, IFSA, EurAI, IFIP, AAIA, I2CICC, and SMIA.

His main research int

Inhalt
H_infinity Stochastic State-Multiplicative Uncertain Systems-Robust Luenberger Filters.- Anticipating the Loss of Unknown Input Observability for Sampled LPV Systems.- Luenberger Observer Design for Robust Estimation of Battery State of Charge with Application to Lithium-Titanate Oxide Cells.- Fault Detection and Diagnosis of PV Systems Using Kalman-Filter Algorithm Based on Multi-Zone Polynomial Regression.- Parity-Space and Multiple-Model Based Approaches to Measurement Fault Estimation.- Online Condition Monitoring of a Vacuum Process Based on Adaptive Notch Filters. <p