Even if the ongoing digital transformation of industry and society presents great possibilities when it comes to increased efficiency, performance and adaptation, it exposes systems to new risks and vulnerabilities. Security and privacy is of growing concern in many control applications. Cyber attacks are frequently reported for a variety of industrial and infrastructure systems. For more than a decade the control community has developed techniques for how to design control systems resilient to cyber-physical attacks. In this talk, we will review some of these results. In particular, as cyber and physical components of networked control systems are tightly interconnected, it is argued that traditional IT security focusing only on the cyber part does not provide appropriate solutions. Modeling the objectives and resources of the adversary together with the plant and control dynamics is shown to be essential. The consequences of common attack scenarios, such denial-of-service, replay, and bias injection attacks, can be analyzed using the framework presented. It is also shown how to strengthen the control loops by deriving security- and privacy-aware estimation and control schemes. Applications in building automation, power networks, and automotive systems will be used to motivate and illustrate the results. The presentation is based on joint work with several students and colleagues at KTH and elsewhere.
This talk discusses the development of reliable and robust fault diagnosis and fault-tolerant (‘sustainable’) control schemes by means of data-driven and model-based approaches. These strategies are able to cope with unknown nonlinear systems and noisy measurements. The talk also discusses simpler solutions relying on data-driven and model-based methodologies, which are key when on-line implementations are considered for the proposed schemes. The talk targets both professional engineers working in industry and researchers in academic and scientific institutions. In fact, in order to improve the safety, reliability and efficiency of wind turbine systems, thus avoiding expensive unplanned maintenance, the accommodation of faults in their early occurrence is fundamental. To highlight the potential of the proposed methods in real applications, hardware–in–the–loop test facilities (representing realistic wind turbine systems) are considered to analyze the digital implementation of the designed solutions. The achieved results show that the developed schemes are able to maintain the desired performances, thus validating their reliability and viability in real-time implementations.
Aerospace needs continuous improvement including insertion of new technologies as it has to meet more and more aggressive performance targets in reliability, efficiency, safety and environmental regulations. In aerospace, moving from basic research to operational and flight-proven systems is a complex process and can take several years. When we look to the future, it is not obvious to predict where the things are going but there is no doubt that the vector is pointed toward more autonomy and intelligence and that aerospace systems are becoming more distributed and more connected. Nevertheless, the maturity of technologies remains overriding and the mantra of Silicon Valley: “fail early, fail often” does not work in aerospace as there is no place for unexpected, uncertain and error. Yet, regulatory standards evolve as the industry matures and thanks to new innovative and disruptive technologies and digital transformation, a greater period of innovation is being opened to shape the future of aerospace. The talk will start with the current situation and a look backwards: about a half-century after the early academic works in model-based / data-driven fault management, there exists today a widening gap between advanced academic methods and real-world aerospace applications. The talk will attempt to highlight some of the main reasons for this situation. Next, the talk will argue that for the foreseeable future and given the predicted demands on aviation and aerospace industry, new distributed/cooperative model-based fault management methodologies will be required to enable paradigm shifts in future flight operational issues management. Solutions can arise from cross-domain research at the interface between system & control theory and computer science. Finally, the talk will discuss a future paradigm shift in civil aviation operations toward more autonomy in the cockpit, and some related challenges and opportunities.
Submission of draft papers*:
April 19th May 3rd May 17th, 2021
*regular, invited paper or session
Notification of acceptance:
June 7th June 28th, 2021
Final version due:
July 12th July 30th, 2021
Photo credits: Palais des Congrès de Saint-Raphaël