IRIS
ZOPPOLI, RICCARDO
 Distribuzione geografica
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Continente #
EU - Europa 8.587
AS - Asia 54
SA - Sud America 6
AF - Africa 1
NA - Nord America 1
Totale 8.649
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Nazione #
IT - Italia 8.587
CN - Cina 48
VN - Vietnam 5
BR - Brasile 4
PY - Paraguay 2
BD - Bangladesh 1
EG - Egitto 1
US - Stati Uniti d'America 1
Totale 8.649
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Città #
Genova 5.675
Genoa 1.701
Rapallo 655
Vado Ligure 541
Beijing 17
Bordighera 12
Ho Chi Minh City 4
Cordenons 2
Alta Floresta 1
Ashburn 1
Asunción 1
Cairo 1
Ciudad del Este 1
Dhaka 1
Guanambi 1
Rio de Janeiro 1
Tucumã 1
Totale 8.616
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Nome #
A decentralized closed-loop solution to the routing problem in networks 200
Approximating networks, dynamic programming and stochastic approximation 182
Distributed-Information Neural Control: The Case of Dynamic Routing in Traffic Networks 170
A convergent neural state estimator for nonlinear stochastic systems 164
Approximation structures with moderate complexity in functional optimization and dynamic programming 157
On stationary optimal strategies for team LQG control problems 156
A Neural Approach to Active Estimation of Nonlinear Systems 155
Sliding-window neural state estimation in a power plant heater line 152
The Extended Ritz Method in stochastic functional optimization: an example of dynamic routing in traffic networks 149
A receding-horizon estimator for discrete-time linear systems 146
Approximation Schemes for Functional Optimization Problems 145
Active identification of unknown systems: an information theoretic approach 145
A Neural State Estimator with Bounded Errors for Nonlinear Systems 143
An application of receding-horizon neural control in humanoid robotics 142
Numerical Solutions to the Witsenhausen Counterexample by Approximating Networks 141
Team theory and neural approximators for dynamic routing in communication networks 139
Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes 136
Partially nested information structures with a common past 135
Nonlinear approximations for the solution of team optimal control problems 133
Optimal Control for Active Identification of Unknown Systems 132
Dynamic routing, teams and neural networks in communications 130
Information-based multi-agent exploration 128
The Extended Ritz Method for Functional Optimization: Overview and Applications to Single-Person and Team Optimal Decision Problems 128
Deterministic optimal control over a finite horizon 123
Approximating networks for the solution of T-stage stochastic optimal control problems 122
An Optimization Point of View of Learning Tasks 122
Neural approximators for nonlinear sliding-window state observers 120
Shortest path problems on stochastic graphs: a neuro dynamic programming approach 120
Nonlinear stabilization by receding-horizon neural regulators 119
Neuro-Dynamic Programming for the exploration of unknown graphs 118
Approximating networks and extended Ritz method for the solution of functional optimization problems 116
Neural approximators for nonlinear finite-memory state estimation 115
Dynamic programming and value-function approximation with application to optimal consumption 115
Neural approximators and team theory for dynamic routing: a receding-horizon approach 115
Efficient algorithms for multivariable adaptive control: the ICOF scheme 113
Neural approximations for state-space parametric identification of nonlinear systems 113
Design of mathematical models by learning from data and FSP functions 113
Neural approximators for the solution of decentralized optimal control problems 112
Water Reservoirs Management Under Uncertainty by Approximating Networks and Learning from Data 112
Sliding-window neural state estimation in a power plant heater line 112
Perturbation analysis of discrete event dynamic systems for routing and scheduling optimization 108
Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method 108
Moving-horizon state estimation for nonlinear systems using neural networks 106
Stochastic optimal control with perfect state information over a finite horizon 106
Water Reservoirs Management Under Uncertainty by Approximating Networks and Learning from Data 104
Neural Approximations for Optimal Control and Decision 104
Optimal control problems over an infinite Horizon 104
Models of communication networks in large scale systems 103
Dynamic routing policies in communication networks: the finite buffer case 103
Neural approximation of optimal decentralized control strategies in communication networks 103
Approximate Dynamic Programming with Bounds on Model Complexity and Sample Complexity: An Application to an Inventory Forecasting Problem 101
The basic infinite-dimensional or functional optimization problem 101
Some families of FSP functions and their properties 98
Entropy-Based Environment Exploration and Stochastic Optimal Control 96
Management of Water Resources Systems in the Presence of Uncertainties by Nonlinear Approximators and Deterministic Sampling 95
Neural approximators for finite-memory state estimation 95
Numerical methods for integration and search for minima 94
A Neural Network Solution to QoS-IP Team-Optimal Dynamic Routing 92
Entropy-based environment exploration 90
Exploiting Structural Results in Approximate Dynamic Programming 88
Efficient Approximation Schemes for Functional Optimization 86
Stochastic optimal control with imperfect state information over a finite Horizon 85
From functional optimization to nonlinear programming by the extended Ritz method 85
Decentralized Optimal Dynamic Routing in Telecommunication Networks by Parametrization of the Decision Strategies 84
Neural networks for the solution of information-distributed optimal control systems 82
Functional optimization in OR problems with very large numbers of variables 81
Team optimal control problems 79
On-line Multi-Agent Algorithms for the Exploration of Unknown Environments 78
The use of neural networks in the solution of dynamic routing problem 78
Shortest Path Problems on Stochastic Graphs: Challenges and Promising Approaches 77
The Extended Ritz Method Versus Dynamic Programming in Water Reservoirs Management Under Uncertainty 73
Preface 71
Finite and receding horizon regulation of a space robot 70
Instantaneous exchange of imperfect messages within a delayed sharing information structure 70
New Developments on a Methodology for the Approximate Solution of Functional Optimization Problems 65
Neural networks for the feedback optimal control of freeway systems 64
Suboptimal Solutions to Dynamic Optimization Problems: Extended Ritz Method Versus Approximate Dynamic Programming 58
Le reti neurali e le altre reti approssimanti nei problemi di ottimizzazione funzionale 56
Totale 8.729
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Categoria #
all - tutte 26.850
article - articoli 5.259
book - libri 318
conference - conferenze 14.920
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 6.353
Totale 53.700
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021322 0 0 0 0 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
2024/20251.244 27 98 35 72 219 133 105 172 58 53 120 152
2025/2026603 245 59 157 132 10 0 0 0 0 0 0 0
Totale 8.729