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Journal Articles
- 2012
[j13]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)- 2010
- [j12]Marco Baglietto, Cristiano Cervellera, Marcello Sanguineti, Riccardo Zoppoli:
Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling. Comput. Optim. Appl. 47(2): 349-376 (2010) - 2009
- [j11]Marco Baglietto, Marcello Sanguineti, Riccardo Zoppoli:
The extended Ritz method for functional optimization: overview and applications to single-person and team optimal decision problems. Optim. Methods Softw. 24(1): 15-43 (2009) - 2001
- [j10]Marco Baglietto, Thomas Parisini, Riccardo Zoppoli:
Numerical solutions to the Witsenhausen counterexample by approximating networks. IEEE Trans. Autom. Control. 46(9): 1471-1477 (2001) - [j9]Marco Baglietto, Thomas Parisini, Riccardo Zoppoli:
Distributed-information neural control: the case of dynamic routing in traffic networks. IEEE Trans. Neural Networks 12(3): 485-502 (2001) - [j8]Angela Di Febbraro, Thomas Parisini, Simona Sacone, Riccardo Zoppoli:
Neural approximations for feedback optimal control of freeway systems. IEEE Trans. Veh. Technol. 50(1): 302-313 (2001) - 1999
- [j7]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
- [j6]Thomas Parisini, Riccardo Zoppoli:
Neural approximations for infinite-horizon optimal control of nonlinear stochastic systems. IEEE Trans. Neural Networks 9(6): 1388-1408 (1998) - 1996
- [j5]Thomas Parisini, Riccardo Zoppoli:
Neural approximations for multistage optimal control of nonlinear stochastic systems. IEEE Trans. Autom. Control. 41(6): 889-895 (1996) - 1995
- [j4]Thomas Parisini, Riccardo Zoppoli:
A receding-horizon regulator for nonlinear systems and a neural approximation. Autom. 31(10): 1443-1451 (1995) - 1994
- [j3]Thomas Parisini, Riccardo Zoppoli:
Neural networks for feedback feedforward nonlinear control systems. IEEE Trans. Neural Networks 5(3): 436-449 (1994) - 1977
- [j2]G. Barla, Giorgio Bartolini, Riccardo Zoppoli:
Optimization of moves and measurements in networks with stochastic costs. Math. Methods Oper. Res. 21(3): 131-141 (1977) - 1973
- [j1]Pier Paolo Puliafito, Riccardo Zoppoli:
Optimization of costly measurements in stochastic decision processes. Z. Oper. Research 17(3): 129-142 (1973)
Conference and Workshop Papers
- 2012
- [c14]Mauro Gaggero, Giorgio Gnecco, Thomas Parisini, Marcello Sanguineti, Riccardo Zoppoli:
Approximation structures with moderate complexity in functional optimization and dynamic programming. CDC 2012: 1902-1908 - 2009
- [c13]Serena Ivaldi, Marco Baglietto, Franco Davoli, Riccardo Zoppoli:
Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method. IJCNN 2009: 1372-1379 - 2008
- [c12]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Riccardo Zoppoli:
Moving-horizon state estimation for nonlinear systems using neural networks. CDC 2008: 2557-2562 - 2005
- [c11]Marco Baglietto, Domenico Garassino, Luca Scardovi, Lorenzo Zanchi, Riccardo Zoppoli:
A Neural Approach to Active Estimation of Nonlinear Systems. CDC/ECC 2005: 4511-4517 - [c10]Marco Baglietto, Giorgio Battistelli, Raffaele Bolla, Roberto Bruschi, Franco Davoli, Riccardo Zoppoli:
A Neural Network Solution to QoS-IP Team-Optimal Dynamic Routing. CDC/ECC 2005: 7452-7459 - 2004
- [c9]Marco Baglietto, Luca Scardovi, Riccardo Zoppoli:
Active identification of unknown systems: an information theoretic approach. ACC 2004: 3826-3830 - [c8]Marco Baglietto, Raffaele Bolla, Roberto Bruschi, Franco Davoli, Riccardo Zoppoli:
Neural approximation of team optimal dynamic routing in IP networks. CDC 2004: 5140-5145 - 2003
- [c7]Marco Baglietto, M. Paolucci, Luca Scardovi, Riccardo Zoppoli:
Entropy-based environment exploration and stochastic optimal control. CDC 2003: 2938-2941 - [c6]Marco Baglietto, Giorgio Battistelli, Federico Vitali, Riccardo Zoppoli:
Shortest path problems on stochastic graphs: a neuro dynamic programming approach. CDC 2003: 6187-6193 - 2001
- [c5]Riccardo Zoppoli, Marcello Sanguineti, Thomas Parisini:
Can we cope with the curse of dimensionality in optimal control by using neural approximators? CDC 2001: 3540-3545 - [c4]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Thomas Parisini, Riccardo Zoppoli:
A receding-horizon estimator for discrete-time linear systems. ECC 2001: 3753-3758 - 1998
- [c3]Marco Baglietto, Thomas Parisini, Riccardo Zoppoli:
Neural networks for the solution of information-distributed optimal control problems. ESANN 1998: 79-84 - 1993
- [c2]Thomas Parisini, Riccardo Zoppoli:
Radial basis functions and multilayer feedforward neural networks for optimal control of nonlinear stochastic systems. ICNN 1993: 1853-1858 - 1975
- [c1]C. Ghiggi, Pier Paolo Puliafito, Riccardo Zoppoli:
A Combinatorial Method for Health-Care Districting. Optimization Techniques 1975: 116-130
Coauthor Index
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