Abstract
As robust control theory has matured, a key challenge has been the need for a more flexible theory that provides a unified basis for representing and exploiting evolving information flows from models, noisy data, and more. Our work on unfalsified control is providing a foundation for the development of such a theory. The results of research in progress are expected to facilitate the design of feedback control systems with the ability to better exploit evolving real-time information flows as they unfold, thereby endowing control systems with the intelligence to adapt to unfamiliar environments and to more effectively compensate for the uncertain and time-varying effects, equipment failures and other changing circumstances.
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Safonov, M.G. (2001). Recent advances in robust control, feedback and learning. In: Moheimani, S.R. (eds) Perspectives in robust control. Lecture Notes in Control and Information Sciences, vol 268. Springer, London. https://doi.org/10.1007/BFb0110626
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DOI: https://doi.org/10.1007/BFb0110626
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