Riccardo Zoppoli

27 papers B 2C 1Journal 13Unranked 11

Year	Rank	Type	Title / Venue / Authors
2012	—	`conf`	Approximation structures with moderate complexity in functional optimization and dynamic programming. CDC Mauro Gaggero, Giorgio Gnecco, Thomas Parisini, Marcello Sanguineti, Riccardo Zoppoli
2012	J	`jnl`	Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes. IEEE Trans. Neural Networks Learn. Syst. Angelo Alessandri, Mauro Gaggero, Riccardo Zoppoli
2010	J	`jnl`	Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling. Comput. Optim. Appl. Marco Baglietto, Cristiano Cervellera, Marcello Sanguineti, Riccardo Zoppoli
2009	B	`conf`	Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method. IJCNN Serena Ivaldi, Marco Baglietto, Franco Davoli, Riccardo Zoppoli
2009	J	`jnl`	The extended Ritz method for functional optimization: overview and applications to single-person and team optimal decision problems. Optim. Methods Softw. Marco Baglietto, Marcello Sanguineti, Riccardo Zoppoli
2008	—	`conf`	Moving-horizon state estimation for nonlinear systems using neural networks. CDC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Riccardo Zoppoli
2005	—	`conf`	A Neural Approach to Active Estimation of Nonlinear Systems. CDC/ECC Marco Baglietto, Domenico Garassino, Luca Scardovi, Lorenzo Zanchi, Riccardo Zoppoli
2005	—	`conf`	A Neural Network Solution to QoS-IP Team-Optimal Dynamic Routing. CDC/ECC Marco Baglietto, Giorgio Battistelli, Raffaele Bolla, Roberto Bruschi, Franco Davoli, Riccardo Zoppoli
2004	C	`conf`	Active identification of unknown systems: an information theoretic approach. ACC Marco Baglietto, Luca Scardovi, Riccardo Zoppoli
2004	—	`conf`	Neural approximation of team optimal dynamic routing in IP networks. CDC Marco Baglietto, Raffaele Bolla, Roberto Bruschi, Franco Davoli, Riccardo Zoppoli
2003	—	`conf`	Entropy-based environment exploration and stochastic optimal control. CDC Marco Baglietto, M. Paolucci, Luca Scardovi, Riccardo Zoppoli
2003	—	`conf`	Shortest path problems on stochastic graphs: a neuro dynamic programming approach. CDC Marco Baglietto, Giorgio Battistelli, Federico Vitali, Riccardo Zoppoli
2001	—	`conf`	A receding-horizon estimator for discrete-time linear systems. ECC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Thomas Parisini, Riccardo Zoppoli
2001	—	`conf`	Can we cope with the curse of dimensionality in optimal control by using neural approximators? CDC Riccardo Zoppoli, Marcello Sanguineti, Thomas Parisini
2001	J	`jnl`	Distributed-information neural control: the case of dynamic routing in traffic networks. IEEE Trans. Neural Networks Marco Baglietto, Thomas Parisini, Riccardo Zoppoli
2001	J	`jnl`	Neural approximations for feedback optimal control of freeway systems. IEEE Trans. Veh. Technol. Angela Di Febbraro, Thomas Parisini, Simona Sacone, Riccardo Zoppoli
2001	J	`jnl`	Numerical solutions to the Witsenhausen counterexample by approximating networks. IEEE Trans. Autom. Control. Marco Baglietto, Thomas Parisini, Riccardo Zoppoli
1999	J	`jnl`	A neural state estimator with bounded errors for nonlinear systems. IEEE Trans. Autom. Control. Angelo Alessandri, Marco Baglietto, Thomas Parisini, Riccardo Zoppoli
1998	J	`jnl`	Neural approximations for infinite-horizon optimal control of nonlinear stochastic systems. IEEE Trans. Neural Networks Thomas Parisini, Riccardo Zoppoli
1998	B	`conf`	Neural networks for the solution of information-distributed optimal control problems. ESANN Marco Baglietto, Thomas Parisini, Riccardo Zoppoli
1996	J	`jnl`	Neural approximations for multistage optimal control of nonlinear stochastic systems. IEEE Trans. Autom. Control. Thomas Parisini, Riccardo Zoppoli
1995	J	`jnl`	A receding-horizon regulator for nonlinear systems and a neural approximation. Autom. Thomas Parisini, Riccardo Zoppoli
1994	J	`jnl`	Neural networks for feedback feedforward nonlinear control systems. IEEE Trans. Neural Networks Thomas Parisini, Riccardo Zoppoli
1993	—	`conf`	Radial basis functions and multilayer feedforward neural networks for optimal control of nonlinear stochastic systems. ICNN Thomas Parisini, Riccardo Zoppoli
1977	J	`jnl`	Optimization of moves and measurements in networks with stochastic costs. Math. Methods Oper. Res. G. Barla, Giorgio Bartolini, Riccardo Zoppoli
1975	—	`conf`	A Combinatorial Method for Health-Care Districting. Optimization Techniques C. Ghiggi, Pier Paolo Puliafito, Riccardo Zoppoli
1973	J	`jnl`	Optimization of costly measurements in stochastic decision processes. Z. Oper. Research Pier Paolo Puliafito, Riccardo Zoppoli