2020 - IEEE Fellow For contributions to set membership identification and robust analysis of uncertain systems
Andrea Garulli studied Computation and Algorithm that intersect with State (computer science) and Optimization problem. Her State (computer science) study frequently draws connections to adjacent fields such as Algorithm. Her Optimal control study which covers Mathematical optimization that intersects with Linear matrix inequality, Quadratic programming and Optimization problem. Andrea Garulli applies her multidisciplinary studies on Linear matrix inequality and Convex optimization in her research. Andrea Garulli incorporates Quadratic programming and Mathematical optimization in her studies. In the subject of Statistics, she integrates adjacent scientific disciplines such as Parametric statistics and Autoregressive model. Andrea Garulli integrates several fields in her works, including Parametric statistics and Statistics. Her Classical mechanics research is linked to Motion (physics) and Circular motion, among other subjects. Andrea Garulli combines Motion (physics) and Quantum mechanics in her studies.
Her Statistics study frequently draws parallels with other fields, such as Parametric statistics and Estimator. Andrea Garulli performs integrative study on Estimator and Statistics. Her Artificial intelligence study frequently links to adjacent areas such as Bounding overwatch. Her research on Bounding overwatch often connects related areas such as Artificial intelligence. Andrea Garulli conducts interdisciplinary study in the fields of Mathematical optimization and Linear matrix inequality through her research. She conducts interdisciplinary study in the fields of Linear matrix inequality and Mathematical optimization through her works. In her works, Andrea Garulli performs multidisciplinary study on Algorithm and Computation. She conducts interdisciplinary study in the fields of Computation and Algorithm through her works. She performs integrative Mathematical analysis and Combinatorics research in her work.
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A bounded-error approach to piecewise affine system identification
A. Bemporad;A. Garulli;S. Paoletti;A. Vicino.
IEEE Transactions on Automatic Control (2005)
Positive Polynomials in Control
Didier Henrion;Andrea Garulli.
(2005)
Polynomially parameter-dependent Lyapunov functions for robust stability of polytopic systems: an LMI approach
G. Chesi;A. Garulli;A. Tesi;A. Vicino.
IEEE Transactions on Automatic Control (2005)
Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems
Graziano Chesi;Andrea Garulli;Alberto Tesi;Antonio Vicino.
(2009)
Brief Homogeneous Lyapunov functions for systems with structured uncertainties
G. Chesi;A. Garulli;A. Tesi;A. Vicino.
Automatica (2003)
Comparing different approaches to model error modeling in robust identification
Wolfgang Reinelt;Andrea Garulli;Lennart Ljung.
Automatica (2002)
Brief paper: Recursive state bounding by parallelotopes
L. Chisci;A. Garulli;G. Zappa.
Automatica (1996)
Solving quadratic distance problems: an LMI-based approach
G. Chesi;A. Garulli;A. Tesi;A. Vicino.
IEEE Transactions on Automatic Control (2003)
Collective circular motion of multi-vehicle systems
N. Ceccarelli;M. Di Marco;A. Garulli;A. Giannitrapani.
Automatica (2008)
Mobile robot SLAM for line-based environment representation
A. Garulli;A. Giannitrapani;A. Rossi;A. Vicino.
conference on decision and control (2005)
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