Moving-horizon state estimation for nonlinear discrete-time systems: New stability results and approximation schemes A Alessandri, M Baglietto, G Battistelli Automatica 44 (7), 1753-1765, 2008 | 322 | 2008 |
Receding-horizon estimation for discrete-time linear systems A Alessandri, M Baglietto, G Battistelli IEEE Transactions on Automatic Control 48 (3), 473-478, 2003 | 235 | 2003 |
On estimation error bounds for receding-horizon filters using quadratic boundedness A Alessandri, M Baglietto, G Battistelli IEEE Transactions on Automatic Control 49 (8), 1350-1355, 2004 | 156 | 2004 |
Design of state estimators for uncertain linear systems using quadratic boundedness A Alessandri, M Baglietto, G Battistelli Automatica 42 (3), 497-502, 2006 | 139 | 2006 |
Receding-horizon estimation for switching discrete-time linear systems A Alessandri, M Baglietto, G Battistelli IEEE Transactions on Automatic Control 50 (11), 1736-1748, 2005 | 136 | 2005 |
A neural state estimator with bounded errors for nonlinear systems A Alessandri, M Baglietto, T Parisini, R Zoppoli IEEE Transactions on Automatic Control 44 (11), 2028-2042, 1999 | 96 | 1999 |
Advances in moving horizon estimation for nonlinear systems A Alessandri, M Baglietto, G Battistelli, V Zavala 49th IEEE conference on decision and control (CDC), 5681-5688, 2010 | 87 | 2010 |
Moving-horizon state estimation for nonlinear systems using neural networks A Alessandri, M Baglietto, G Battistelli, M Gaggero IEEE Transactions on Neural Networks 22 (5), 768-780, 2011 | 81 | 2011 |
Luenberger observers for switching discrete-time linear systems A Alessandri, M Baglietto, G Battistelli International Journal of Control 80 (12), 1931-1943, 2007 | 78 | 2007 |
Numerical solutions to the Witsenhausen counterexample by approximating networks M Baglietto, T Parisini, R Zoppoli IEEE Transactions on Automatic Control 46 (9), 1471-1477, 2001 | 71 | 2001 |
Active mode observability of switching linear systems M Baglietto, G Battistelli, L Scardovi Automatica 43 (8), 1442-1449, 2007 | 69 | 2007 |
Distributed-information neural control: The case of dynamic routing in traffic networks M Baglietto, T Parisini, R Zoppoli IEEE Transactions on Neural Networks 12 (3), 485-502, 2001 | 67 | 2001 |
Robust receding-horizon state estimation for uncertain discrete-time linear systems A Alessandri, M Baglietto, G Battistelli Systems & Control Letters 54 (7), 627-643, 2005 | 61 | 2005 |
A maximum-likelihood Kalman filter for switching discrete-time linear systems A Alessandri, M Baglietto, G Battistelli Automatica 46 (11), 1870-1876, 2010 | 49 | 2010 |
Active mode observation of switching systems based on set‐valued estimation of the continuous state M Baglietto, G Battistelli, L Scardovi International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2009 | 47 | 2009 |
Min-max moving-horizon estimation for uncertain discrete-time linear systems A Alessandri, M Baglietto, G Battistelli SIAM Journal on Control and Optimization 50 (3), 1439-1465, 2012 | 46 | 2012 |
Human navigation and mapping with a 6DOF IMU and a laser scanner M Baglietto, A Sgorbissa, D Verda, R Zaccaria Robotics and Autonomous Systems 59 (12), 1060-1069, 2011 | 42 | 2011 |
Information-based multi-agent exploration M Baglietto, M Paolucci, L Scardovi, R Zoppoli Proceedings of the Third International Workshop on Robot Motion and Control …, 2002 | 32 | 2002 |
Stabilization and tracking for switching linear systems under unknown switching sequences M Baglietto, G Battistelli, P Tesi Systems & Control Letters 62 (1), 11-21, 2013 | 31 | 2013 |
Neural approximators and team theory for dynamic routing: A receding-horizon approach M Baglietto, T Parisini, R Zoppoli Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No …, 1999 | 27 | 1999 |