IRIS
ZOPPOLI, RICCARDO
 Distribuzione geografica
Salva come PNG Salva come JPEG
Continente #
EU - Europa 7.173
Totale 7.173
Salva come PNG Salva come JPEG
Nazione #
IT - Italia 7.173
Totale 7.173
Salva come PNG Salva come JPEG
Città #
Genova 5.675
Rapallo 655
Genoa 485
Vado Ligure 346
Bordighera 12
Totale 7.173
Salva come PNG Salva come JPEG
Nome #
A decentralized closed-loop solution to the routing problem in networks 154
Approximating networks, dynamic programming and stochastic approximation 153
Distributed-Information Neural Control: The Case of Dynamic Routing in Traffic Networks 145
Sliding-window neural state estimation in a power plant heater line 141
On stationary optimal strategies for team LQG control problems 141
The Extended Ritz Method in stochastic functional optimization: an example of dynamic routing in traffic networks 134
Team theory and neural approximators for dynamic routing in communication networks 132
Numerical Solutions to the Witsenhausen Counterexample by Approximating Networks 128
Nonlinear approximations for the solution of team optimal control problems 126
Approximation structures with moderate complexity in functional optimization and dynamic programming 123
A Neural Approach to Active Estimation of Nonlinear Systems 123
Optimal Control for Active Identification of Unknown Systems 120
Partially nested information structures with a common past 119
Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes 119
A convergent neural state estimator for nonlinear stochastic systems 119
Dynamic routing, teams and neural networks in communications 117
Approximation Schemes for Functional Optimization Problems 116
The Extended Ritz Method for Functional Optimization: Overview and Applications to Single-Person and Team Optimal Decision Problems 116
Information-based multi-agent exploration 114
Active identification of unknown systems: an information theoretic approach 114
Neural approximators for nonlinear sliding-window state observers 112
Neural approximations for state-space parametric identification of nonlinear systems 109
Neural approximators for nonlinear finite-memory state estimation 108
An application of receding-horizon neural control in humanoid robotics 108
A receding-horizon estimator for discrete-time linear systems 107
Neuro-Dynamic Programming for the exploration of unknown graphs 106
Sliding-window neural state estimation in a power plant heater line 106
Shortest path problems on stochastic graphs: a neuro dynamic programming approach 106
Neural approximators for the solution of decentralized optimal control problems 103
Neural approximators and team theory for dynamic routing: a receding-horizon approach 102
Water Reservoirs Management Under Uncertainty by Approximating Networks and Learning from Data 101
Efficient algorithms for multivariable adaptive control: the ICOF scheme 99
A Neural State Estimator with Bounded Errors for Nonlinear Systems 97
Nonlinear stabilization by receding-horizon neural regulators 96
Perturbation analysis of discrete event dynamic systems for routing and scheduling optimization 96
Approximating networks for the solution of T-stage stochastic optimal control problems 96
Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method 96
Moving-horizon state estimation for nonlinear systems using neural networks 95
Neural approximation of optimal decentralized control strategies in communication networks 95
Water Reservoirs Management Under Uncertainty by Approximating Networks and Learning from Data 90
Approximating networks and extended Ritz method for the solution of functional optimization problems 90
Models of communication networks in large scale systems 86
An Optimization Point of View of Learning Tasks 85
Dynamic programming and value-function approximation with application to optimal consumption 84
Deterministic optimal control over a finite horizon 83
Dynamic routing policies in communication networks: the finite buffer case 82
Neural Approximations for Optimal Control and Decision 82
Neural approximators for finite-memory state estimation 81
Entropy-Based Environment Exploration and Stochastic Optimal Control 81
Optimal control problems over an infinite Horizon 81
Efficient Approximation Schemes for Functional Optimization 80
Design of mathematical models by learning from data and FSP functions 80
Stochastic optimal control with perfect state information over a finite horizon 79
Management of Water Resources Systems in the Presence of Uncertainties by Nonlinear Approximators and Deterministic Sampling 78
Approximate Dynamic Programming with Bounds on Model Complexity and Sample Complexity: An Application to an Inventory Forecasting Problem 77
Neural networks for the solution of information-distributed optimal control systems 77
Entropy-based environment exploration 75
Exploiting Structural Results in Approximate Dynamic Programming 75
The basic infinite-dimensional or functional optimization problem 73
Some families of FSP functions and their properties 72
On-line Multi-Agent Algorithms for the Exploration of Unknown Environments 71
Functional optimization in OR problems with very large numbers of variables 69
From functional optimization to nonlinear programming by the extended Ritz method 67
Numerical methods for integration and search for minima 66
The use of neural networks in the solution of dynamic routing problem 65
A Neural Network Solution to QoS-IP Team-Optimal Dynamic Routing 64
Finite and receding horizon regulation of a space robot 63
The Extended Ritz Method Versus Dynamic Programming in Water Reservoirs Management Under Uncertainty 63
Stochastic optimal control with imperfect state information over a finite Horizon 62
Shortest Path Problems on Stochastic Graphs: Challenges and Promising Approaches 61
Decentralized Optimal Dynamic Routing in Telecommunication Networks by Parametrization of the Decision Strategies 60
Instantaneous exchange of imperfect messages within a delayed sharing information structure 59
Team optimal control problems 58
Preface 52
New Developments on a Methodology for the Approximate Solution of Functional Optimization Problems 51
Neural networks for the feedback optimal control of freeway systems 47
Le reti neurali e le altre reti approssimanti nei problemi di ottimizzazione funzionale 46
Suboptimal Solutions to Dynamic Optimization Problems: Extended Ritz Method Versus Approximate Dynamic Programming 46
Totale 7.253
Salva come PNG Salva come JPEG
Categoria #
all - tutte 20.127
article - articoli 3.966
book - libri 240
conference - conferenze 11.156
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 4.765
Totale 40.254
Salva come PNG Salva come JPEG


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20201.651 0 0 0 0 162 192 256 158 197 379 237 70
2020/2021510 40 35 61 52 22 64 22 44 45 56 30 39
2021/2022921 10 60 41 116 18 61 95 199 45 82 80 114
2022/2023781 75 41 5 88 125 141 1 82 157 2 54 10
2023/2024346 29 61 6 46 23 38 23 12 14 15 24 55
2024/2025371 27 98 35 72 139 0 0 0 0 0 0 0
Totale 7.253