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About us Practical matters How to find us C. (Claudio) De Persis, Prof

Research interests

My field is Automatic Control and its applications.
 
I work on the automatic design of controllers from data by integrating control theory and data science. I introduced a methodology that reduces the design to data-dependent convex programs. 
 
Previously, I worked on networked and cyber-physical control systems, with applications to energy systems, for which I designed distributed controllers leveraging a unifying passivity property that holds for electrical grids, district heating networks and data centres. I hold two patents for inventions related to these topics. 
 
In the context of cyber-physical control systems I studied the effect of information quantisation and asynchronous information transmission including their resilience to denial-of-service (DoS) attacks for which I proposed a now widely accepted model.  
 
For my doctoral dissertation, I worked on the problem of detecting faults in nonlinear dynamical systems, solving the so-called Fundamental Problem of Residual Generation for nonlinear systems, based on the newly introduced differential-geometric concept of observability codistributions.

Publications

Controller design for robust invariance from noisy data

DC power grids with constant-power loads—Part II: Nonnegative power demands, conditions for feasibility, and high-voltage solutions

DC power grids with constant-power loadsPart I: A full characterization of power flow feasibility, long-term voltage stability and their correspondence

Learning Controllers for Performance Through LMI Regions

On the Certainty-Equivalence Approach to Direct Data-Driven LQR Design

Data-driven control via Petersen’s lemma

Data-driven stabilization of nonlinear polynomial systems with noisy data

Distributed dynamics for aggregative games: Robustness and privacy guarantees

On data-driven stabilization of systems with nonlinearities satisfying quadratic constraints

Online learning of data-driven controllers for unknown switched linear systems

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