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2020 – today
- 2024
[j46]Shuwan Chen
, Damiano Padovani, Andrea Cioncolini, Angelo Alessandri:
A Cost-Effective Integrated Methodology for Electromagnetic Actuation via Visual Feedback. Sensors 24(9): 2760 (2024)- [c75]Damiano Padovani, Andrea Cioncolini, Angelo Alessandri:
State Observers for Output Feedback Control of an Electromagnetic Levitation System. AMC 2024: 1-6 - [c74]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli:
Practical Observers for Velocity Field Estimation of Normal Flow Equations. ACC 2024: 1012-1017 - 2023
- [j45]Guitao Yang, Hamed Rezaee, Angelo Alessandri, Thomas Parisini:
State estimation using a network of distributed observers with switching communication topology. Autom. 147: 110690 (2023) - [j44]Sophie Tarbouriech, Angelo Alessandri, Daniele Astolfi, Luca Zaccarian:
LMI-Based Stubborn and Dead-Zone Redesign in Linear Dynamic Output Feedback. IEEE Control. Syst. Lett. 7: 187-192 (2023) - [j43]Hasni Arezki, Ali Zemouche, Angelo Alessandri, Patrizia Bagnerini:
LMI Design Procedure for Incremental Input/Output-to-State Stability in Nonlinear Systems. IEEE Control. Syst. Lett. 7: 3403-3408 (2023) - [j42]Dyhia Bouhadjra, Angelo Alessandri, Patrizia Bagnerini, Ali Zemouche:
Moving horizon estimation of Amnioserosa cell dynamics during Drosophila dorsal closure. Eur. J. Control 72: 100829 (2023) - [c73]Hasni Arezki, Angelo Alessandri, Ali Zemouche:
Robust Moving Horizon Estimation for Lateral Vehicle Dynamics. ECC 2023: 1-6 - 2022
- [j41]Angelo Alessandri, Ricardo G. Sanfelice:
Hysteresis-based switching observers for linear systems using quadratic boundedness. Autom. 136: 109982 (2022) - [j40]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli, Vincenzo Alessandro Santamaria, Alberto Traverso:
Black-Box Modeling and Optimal Control of a Two-Phase Flow Using Level Set Methods. IEEE Trans. Control. Syst. Technol. 30(2): 520-534 (2022) - [c72]Dyhia Bouhadjra, Angelo Alessandri, Patrizia Bagnerini, Ali Zemouche:
A High-Gain Observer for Stage-Structured Susceptible-Infectious Epidemic Model with Linear Incidence Rate. ACC 2022: 1336-1340 - [c71]Dyhia Bouhadjra, Angelo Alessandri, Patrizia Bagnerini, Ali Zemouche:
High-Gain Estimation of mRNA and Protein Concentrations of a Genetic Regulatory Network. ECC 2022: 578-583 - 2021
- [j39]Daniele Astolfi, Angelo Alessandri, Luca Zaccarian:
Stubborn and Dead-Zone Redesign for Nonlinear Observers and Filters. IEEE Trans. Autom. Control. 66(2): 667-682 (2021) - [j38]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Davide Lengani, Daniele Simoni:
Detection of Flow-Regime Transitions Using Dynamic Mode Decomposition and Moving Horizon Estimation. IEEE Trans. Control. Syst. Technol. 29(3): 1324-1331 (2021) - [c70]Dyhia Bouhadjra, Angelo Alessandri, Patrizia Bagnerini, Fazia Bedouhene, Ali Zemouche:
Modeling and Estimation of Amnioserosa Cell Mechanical Behavior Using Moving Horizon Estimation. ACC 2021: 1583-1588 - [c69]Angelo Alessandri, Patrizia Bagnerini, Christophe Prieur, Anna Rossi:
Control of Normal Flow PDEs with ISS Properties. CDC 2021: 1856-1861 - 2020
- [j37]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Anna Rossi:
State and observer-based feedback control of normal flow equations. Autom. 117: 108980 (2020) - [j36]Angelo Alessandri, Francesca Boem:
State Observers for Systems Subject to Bounded Disturbances Using Quadratic Boundedness. IEEE Trans. Autom. Control. 65(12): 5352-5359 (2020) - [c68]Dyhia Bouhadjra, Ali Zemouche, Angelo Alessandri, Patrizia Bagnerini:
High-Gain Nonlinear Observer Using System State Augmentation. CDC 2020: 4182-4187 - [i1]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli:
Parameter Estimation of Fire Propagation Models Using Level Set Methods. CoRR abs/2006.16550 (2020)
2010 – 2019
- 2019
- [j35]Giacomo Casadei, Daniele Astolfi, Angelo Alessandri, Luca Zaccarian:
Synchronization in Networks of Identical Nonlinear Systems via Dynamic Dead Zones. IEEE Control. Syst. Lett. 3(3): 667-672 (2019) - [j34]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero:
Optimal Control of Propagating Fronts by Using Level Set Methods and Neural Approximations. IEEE Trans. Neural Networks Learn. Syst. 30(3): 902-912 (2019) - [c67]Angelo Alessandri, Patrizia Bagnerini, C. Carmeli, Mauro Gaggero, Davide Lengani, Daniele Simoni:
On-line Mode Decomposition of Fluid Flows Using Moving Horizon Estimation. CDC 2019: 2163-2168 - 2018
- [j33]Angelo Alessandri, Luca Zaccarian:
Stubborn state observers for linear time-invariant systems. Autom. 88: 1-9 (2018) - [c66]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Anna Rossi:
Feedback Control on the Velocity Field and Source Term of a Normal Flow Equation. ACC 2018: 1714-1719 - [c65]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli, Vincenzo Alessandro Santamaria, Alberto Traverso:
Black-box Modeling and Optimal Control of a Two-Phase Flow by Using Navier-Stokes Equations and Level Set Methods. ACC 2018: 3429-3434 - [c64]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Davide Lengani, Daniele Simoni:
Moving Horizon Trend Identification Based on Switching Models for Data Driven Decomposition of Fluid Flows. CDC 2018: 2138-2143 - [c63]Angelo Alessandri, Francesca Boem, Thomas Parisini:
Model-Based Fault Detection and Estimation for Linear Time Invariant and Piecewise Affine Systems by Using Quadratic Boundedness. CDC 2018: 5562-5567 - 2017
- [j32]Angelo Alessandri, Mauro Gaggero:
Fast Moving Horizon State Estimation for Discrete-Time Systems Using Single and Multi Iteration Descent Methods. IEEE Trans. Autom. Control. 62(9): 4499-4511 (2017) - [j31]Maxime Dureau, Angelo Alessandri, Patrizia Bagnerini, Stéphane Vincent:
Modeling and Identification of Amnioserosa Cell Mechanical Behavior by Using Mass-Spring Lattices. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1476-1481 (2017) - [c62]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero:
Parameter identification of the normal flow equation by using adaptive estimation. ACC 2017: 3177-3182 - [c61]Angelo Alessandri, Mauro Gaggero:
Moving horizon state estimation for constrained discrete-time systems by using fast descent methods. CDC 2017: 2176-2181 - 2016
- [j30]Angelo Alessandri, Moath Awawdeh:
Moving-horizon estimation with guaranteed robustness for discrete-time linear systems and measurements subject to outliers. Autom. 67: 85-93 (2016) - [c60]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Alberto Traverso:
Further results on the optimal control of fronts generated by level set methods. ACC 2016: 5225-5230 - [c59]Angelo Alessandri, Mauro Gaggero:
Moving-horizon estimation for discrete-time linear and nonlinear systems using the gradient and Newton methods. CDC 2016: 2906-2911 - [c58]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero:
Extended Kalman filtering to design optimal controllers of fronts generated by level set methods. CDC 2016: 3966-3971 - [c57]Angelo Alessandri, Danilo Percivale, Robertus Van der Putten:
Optimal control of parallel buffers by using output feedback based on Practical Observers. CDC 2016: 5422-5427 - [c56]Angelo Alessandri, Ali Zemouche:
On the enhancement of high-gain observers for state estimation of nonlinear systems. CDC 2016: 6278-6283 - [c55]Alberto Taddeo, Angelo Alessandri, Patrizia Bagnerini, Silvia Donnarumma:
Backstepping-based stabilization of the pool-boiling system: An application of the circle criterion. ECC 2016: 283-288 - [c54]Silvia Donnarumma, Luca Zacearian, Angelo Alessandri, Stefano Vignolo:
Anti-windup synthesis of heading and speed regulators for ship control with actuator saturation. ECC 2016: 1284-1290 - 2015
- [j29]Angelo Alessandri, Anna Rossi:
Increasing-gain observers for nonlinear systems: Stability and design. Autom. 57: 180-188 (2015) - [j28]Houria Kheloufi, Fazia Bedouhene, Ali Zemouche, Angelo Alessandri:
Observer-based stabilisation of linear systems with parameter uncertainties by using enhanced LMI conditions. Int. J. Control 88(6): 1189-1200 (2015) - [c53]Angelo Alessandri, Anna Rossi:
Adaptive state estimation for nonlinear systems based on the increasing-gain observer. CDC 2015: 7004-7009 - [c52]Angelo Alessandri, Luca Zaccarian:
Results on stubborn Luenberger observers for linear time-invariant plants. ECC 2015: 2920-2925 - 2014
- [c51]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero:
Optimal control of level sets dynamics. ACC 2014: 2208-2213 - [c50]Angelo Alessandri, Fazia Bedouhene, Houria Kheloufi, Ali Zemouche:
Output feedback control for a class of switching discrete-time linear systems. CDC 2014: 1533-1538 - [c49]Angelo Alessandri, Moath Awawdeh:
Moving-horizon estimation for discrete-time linear systems with measurements subject to outliers. CDC 2014: 2591-2596 - [c48]Ali Zemouche, Angelo Alessandri:
A new LMI condition for decentralized observer-based control of linear systems with nonlinear interconnections. CDC 2014: 3125-3130 - [c47]Angelo Alessandri, Mauro Gaggero, Flavio Tonelli:
Robust predictive control for the management of multi-echelon distribution chains. CDC 2014: 6459-6464 - 2013
- [j27]Angelo Alessandri, Anna Rossi:
Time-varying increasing-gain observers for nonlinear systems. Autom. 49(9): 2845-2852 (2013) - [j26]Angelo Alessandri, Cristiano Cervellera, Mauro Gaggero:
Predictive Control of Container Flows in Maritime Intermodal Terminals. IEEE Trans. Control. Syst. Technol. 21(4): 1423-1431 (2013) - [c46]Angelo Alessandri:
Design of time-varying state observers for nonlinear systems by using input-to-state stability. ACC 2013: 280-285 - [c45]Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero:
Optimal control of PDE-based systems by using a finite-dimensional approximation scheme. ACC 2013: 1278-1283 - [c44]Houria Kheloufi, Fazia Bedouhene, Ali Zemouche, Angelo Alessandri:
Convex optimization approach to observer-based stabilization of linear systems with parameter uncertainties. CDC 2013: 1125-1130 - [c43]Angelo Alessandri, Anna Rossi:
On increasing-gain observers for nonlinear continuous-time systems. CDC 2013: 3957-3962 - [c42]Angelo Alessandri, Fazia Bedouhene, Houria Kheloufi, Ali Zemouche:
Output feedback control for discrete-time linear systems by using luenberger observers under unknown switching. CDC 2013: 5321-5326 - 2012
- [j25]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
Min-Max Moving-Horizon Estimation for Uncertain Discrete-Time Linear Systems. SIAM J. Control. Optim. 50(3): 1439-1465 (2012) - [j24]Angelo Alessandri, Mauro Gaggero, Riccardo Zoppoli:
Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes. IEEE Trans. Neural Networks Learn. Syst. 23(6): 984-996 (2012) - [c41]Angelo Alessandri, Roberto Filippini:
Evaluation of Resilience of Interconnected Systems Based on Stability Analysis. CRITIS 2012: 180-190 - 2011
- [j23]Angelo Alessandri, Mauro Gaggero, Flavio Tonelli:
Min-Max and Predictive Control for the Management of Distribution in Supply Chains. IEEE Trans. Control. Syst. Technol. 19(5): 1075-1089 (2011) - [j22]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Mauro Gaggero:
Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks. IEEE Trans. Neural Networks 22(5): 768-780 (2011) - [c40]Angelo Alessandri, Mauro Gaggero, Flavio Tonelli:
Integer tree-based search and mixed-integer optimal control of distribution chains. CDC/ECC 2011: 489-494 - 2010
- [j21]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
A maximum-likelihood Kalman filter for switching discrete-time linear systems. Autom. 46(11): 1870-1876 (2010) - [j20]Angelo Alessandri, Giorgio Gnecco, Marcello Sanguineti:
Minimizing Sequences for a Family of Functional Optimal Estimation Problems. J. Optim. Theory Appl. 147(2): 243-262 (2010) - [c39]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Victor M. Zavala:
Advances in moving horizon estimation for nonlinear systems. CDC 2010: 5681-5688
2000 – 2009
- 2009
- [j19]Angelo Alessandri, Lucia Cassettari, Roberto Mosca:
Nonparametric nonlinear regression using polynomial and neural approximators: a numerical comparison. Comput. Manag. Sci. 6(1): 5-24 (2009) - [j18]Angelo Alessandri, Raffaele Bolla, Mauro Gaggero, Matteo Repetto:
Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network. IEEE Trans. Control. Syst. Technol. 17(4): 952-959 (2009) - [c38]Angelo Alessandri, Marta Cuneo, Elisabetta Punta:
Sliding-mode state observers for multi-output nonlinear systems with bounded noises on dynamics and measurements. CDC 2009: 7729-7734 - 2008
- [j17]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
Moving-horizon state estimation for nonlinear discrete-time systems: New stability results and approximation schemes. Autom. 44(7): 1753-1765 (2008) - [j16]Angelo Alessandri, Cristiano Cervellera, Marta Cuneo, Mauro Gaggero, G. Soncin:
Modeling and Feedback Control for Resource Allocation and Performance Analysis in Container Terminals. IEEE Trans. Intell. Transp. Syst. 9(4): 601-614 (2008) - [c37]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Riccardo Zoppoli:
Moving-horizon state estimation for nonlinear systems using neural networks. CDC 2008: 2557-2562 - [c36]Angelo Alessandri, Cristiano Cervellera, Marta Cuneo, Mauro Gaggero:
Nonlinear predictive control for the management of container flows in maritime intermodal terminals. CDC 2008: 2800-2805 - [c35]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
Maximum-likelihood Kalman filtering for switching discrete-time linear systems. CDC 2008: 3192-3198 - 2007
- [j15]Angelo Alessandri, Marta Cuneo, S. Pagnan, Marcello Sanguineti:
A recursive algorithm for nonlinear least-squares problems. Comput. Optim. Appl. 38(2): 195-216 (2007) - [j14]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
Luenberger observers for switching discrete-time linear systems. Int. J. Control 80(12): 1931-1943 (2007) - [j13]Angelo Alessandri, Simona Sacone, Silvia Siri:
Modelling and Optimal Receding-horizon Control of Maritime Container Terminals. J. Math. Model. Algorithms 6(1): 109-133 (2007) - [j12]Angelo Alessandri, Cristiano Cervellera, Marcello Sanguineti:
Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming. IEEE Trans. Neural Networks 18(1): 86-96 (2007) - [c34]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
Design of Observers with Commutation-Dependent Gains for Linear Switching Systems. ACC 2007: 2090-2095 - [c33]Angelo Alessandri, Aldo Filippo Grassia, Elisabetta Punta:
Sliding-Mode State Observers for a Class of Nonlinear Continuous-Time Systems. ACC 2007: 5857-5862 - [c32]Angelo Alessandri, Raffaele Bolla, Mauro Gaggero, Matteo Repetto:
Identification of freeway traffic dynamics using fluid and black-box nonlinear models. CDC 2007: 2962-2967 - 2006
- [j11]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
Design of state estimators for uncertain linear systems using quadratic boundedness. Autom. 42(3): 497-502 (2006) - [c31]Angelo Alessandri, Raffaele Bolla, Aldo Filippo Grassia, Matteo Repetto:
Identification of freeway macroscopic models using information from mobile phones. ACC 2006: 1-6 - [c30]Angelo Alessandri, Cristiano Cervellera, Danilo Macciò, Marcello Sanguineti:
Design of Parameterized State Observers and Controllers for a Class of Nonlinear Continuous-Time Systems. CDC 2006: 5388-5393 - 2005
- [j10]Angelo Alessandri, Marcello Sanguineti:
Optimization of approximating networks for optimal fault diagnosis. Optim. Methods Softw. 20(2-3): 241-266 (2005) - [j9]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
Robust receding-horizon state estimation for uncertain discrete-time linear systems. Syst. Control. Lett. 54(7): 627-643 (2005) - [j8]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
Receding-horizon estimation for switching discrete-time linear systems. IEEE Trans. Autom. Control. 50(11): 1736-1748 (2005) - [c29]Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia, Marcello Sanguineti:
An approximate solution to optimal Lp state estimation problems. ACC 2005: 4204-4209 - [c28]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
Robust Receding-Horizon Estimation for Discrete-time Linear Systems in the Presence of Bounded Uncertainties. CDC/ECC 2005: 4269-4274 - [c27]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
Luenberger Observers For Switching Discrete-Time Linear Systems. CDC/ECC 2005: 7014-7019 - 2004
- [j7]Angelo Alessandri:
Adaptive neural network control of robotic manipulators: S.S. Ge, T.H. Lee and C.J. Harris; Volume19, World Scientific Publishing, 1998, 396pp, ISBN 981023452X. Autom. 40(11): 2011-2012 (2004) - [j6]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
On estimation error bounds for receding-horizon filters using quadratic boundedness. IEEE Trans. Autom. Control. 49(8): 1350-1355 (2004) - [c26]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
A minimax receding-horizon estimator for uncertain discrete-time linear systems. ACC 2004: 205-210 - [c25]Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia, Marcello Sanguineti:
Design of observers for continuous-time nonlinear systems using neural networks. ACC 2004: 2433-2438 - [c24]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
Receding-horizon estimation for switching discrete-time linear systems. CDC 2004: 1902-1907 - [c23]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Thomas Parisini:
New convergence conditions for receding-horizon state estimation of nonlinear discrete-time systems. CDC 2004: 2094-2099 - [c22]Angelo Alessandri:
Observer design for nonlinear systems by using Input-to-State Stability. CDC 2004: 3892-3897 - 2003
- [j5]Angelo Alessandri:
Fault diagnosis for nonlinear systems using a bank of neural estimators. Comput. Ind. 52(3): 271-289 (2003) - [j4]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
Receding-horizon estimation for discrete-time linear systems. IEEE Trans. Autom. Control. 48(3): 473-478 (2003) - [c21]Angelo Alessandri, Paolo Coletta:
Design of observers for switched discrete-time linear systems. ACC 2003: 2785-2790 - [c20]Angelo Alessandri, Raffaele Bolla, Matteo Repetto:
Estimation of freeway traffic variables using information from mobile phones. ACC 2003: 4089-4094 - [c19]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Thomas Parisini:
Receding-horizon estimation for noisy nonlinear discrete-time systems. CDC 2003: 5825-5830 - [c18]Angelo Alessandri, Marta Cuneo, S. Pagnan, Marcello Sanguineti:
On the convergence of EKF-based parameters optimization for neural networks. CDC 2003: 6181-6186 - [c17]Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia:
Application of neural control to economic growth problems. CIFEr 2003: 151-157 - [c16]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli:
Robust receding-horizon estimation for uncertain discrete-time linear systems. ECC 2003: 1459-1464 - [c15]Angelo Alessandri, G. Cirimele, Marta Cuneo, S. Pagnan, Marcello Sanguineti:
EKF learning for feedforward neural networks. ECC 2003: 1990-1995 - 2002
- [j3]Angelo Alessandri, Marcello Sanguineti, Manfredi Maggiore:
Optimization-based learning with bounded error for feedforward neural networks. IEEE Trans. Neural Networks 13(2): 261-273 (2002) - [c14]Angelo Alessandri, Marcello Sanguineti, Manfredi Maggiore:
Batch-mode identification of black-box models using feedforward neural networks. ACC 2002: 406-411 - [c13]Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia:
Optimal neural feedback control applied to a problem of economic growth in freight transport market. CDC 2002: 1141-1146 - [c12]Angelo Alessandri, Marcello Sanguineti, Manfredi Maggiore:
Optimized feedforward neural networks for on-line identification of nonlinear models. CDC 2002: 1751-1756 - 2001
- [c11]Angelo Alessandri, Marcello Sanguineti:
Lp-stable and asymptotic estimators for nonlinear dynamic systems. ACC 2001: 1991-1996 - [c10]Angelo Alessandri, Paolo Coletta:
Switching observers for continuous-time and discrete-time linear systems. ACC 2001: 2516-2521 - [c9]Angelo Alessandri, Marcello Sanguineti:
On the design of approximate state estimators for nonlinear systems. CDC 2001: 3372-3377 - [c8]Angelo Alessandri, Marcello Sanguineti:
PF-stable estimators for nonlinear systems. ECC 2001: 1-6 - [c7]Angelo Alessandri, Paolo Coletta:
An LMI approach to multi-model estimation for discrete-time linear systems. ECC 2001: 324-329 - [c6]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Thomas Parisini, Riccardo Zoppoli:
A receding-horizon estimator for discrete-time linear systems. ECC 2001: 3753-3758 - [c5]Angelo Alessandri, Paolo Coletta:
Design of Luenberger Observers for a Class of Hybrid Linear Systems. HSCC 2001: 7-18 - 2000
- [c4]Angelo Alessandri, Paolo Coletta:
Navigation for underwater vehicles based on asynchronous nonlinear estimation. ACC 2000: 85-89 - [c3]Angelo Alessandri, Marcello Sanguineti:
On estimators for nonlinear systems in Lp spaces. CDC 2000: 298-303 - [c2]Angelo Alessandri:
Design of sliding-mode observers and filters for nonlinear dynamic systems. CDC 2000: 2593-2598
1990 – 1999
- 1999
- [j2]Angelo Alessandri, Marco Baglietto, Thomas Parisini, Riccardo Zoppoli:
A neural state estimator with bounded errors for nonlinear systems. IEEE Trans. Autom. Control. 44(11): 2028-2042 (1999) - 1998
- [c1]Angelo Alessandri, Manfredi Maggiore, Marcello Sanguineti:
Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis. ESANN 1998: 285-290 - 1997
- [j1]Angelo Alessandri, Thomas Parisini:
Nonlinear modeling of complex large-scale plants using neural networks and stochastic approximation. IEEE Trans. Syst. Man Cybern. Part A 27(6): 750-757 (1997)
Coauthor Index
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