[A02]
Non-Euclidean Enriched Contraction Theory for Monotone Operators and Monotone Dynamical Systems
D. Deplano, S. Grammatico, M. Franceschelli
Under review at IEEE Transactions on Automatic Control (2nd round), 2025
ManuscriptSlides
PhD Thesis
D. Deplano, "Coordination of multi-agent systems: stability via nonlinear Perron-Frobenius theory and consensus for desynchronization and dynamic estimation", Ph.D. Thesis, Department of Electrical and Electronic Engineering, University of Cagliari, Italy, March 2021.
ManuscriptExtended Abstract
Winner of "Best Ph.D. Thesis" defended in the area of Systems and Control Engineering at an Italian University in 2021, awarded by Società Italiana Docenti e Ricercatori in Automatica (SIDRA).
[A01]
Algebraic Connectivity Control and Maintenance with Application to Open Multi-Agent Networks
W. Zhao, D. Deplano, Z. Li, A. Giua, M. Franceschelli
Under review at Automatica (4th round), 2024
Manuscript
[J16]
Thermal Modeling of Thin-Layer Bread via Neural Networks: Experimental Validation in a Sardinian Bakery
D. Deplano, N. Arridu, C. Seatzu, M. Franceschelli
Control Engineering Practice, 2026
Manuscript
[J15]
A Real-Time Heuristic for Large-Scale Workforce Task Assignment, Multi-Vehicle Routing, and Scheduling with Time-Dependent Profits
D. Deplano, C. Seatzu, M. Franceschelli
IEEE Transactions on Automation Science and Engineering, 2026
Manuscript
[J14]
Distributed Potential-Based Coordination within Open Multi-Agent Systems
A. Miele, M. Lippi, D. Deplano, M. Franceschelli, A. Gasparri
IEEE Control Systems Letters, 2026 – to be presented at CDC 2026, see [C28]
Manuscript
[J13]
Distributed Energy and Thermal Management of Buildings with High-Order RC Thermal Dynamics
Z. Shahrouei, D. Deplano, E. Usai, A. Pisano
IEEE Control Systems Letters, 2026 – to be presented at CDC 2026, see [C27]
Manuscript
[J12]
Composite Optimization in Open Multi-Agent Systems under Additive Errors
D. Deplano, N. Bastianello, M. Franceschelli, K.H. Johansson
IEEE Control Systems Letters, 2026 – to be presented at CDC 2026, see [C26]
Manuscript
[J11]
Optimization and Learning in Open Multiagent Systems
D. Deplano, N. Bastianello, M. Franceschelli, K.H. Johansson
IEEE Transactions on Automatic Control, 2026
ManuscriptPoster
[J10]
Distributed Tracking of Network Size, Diameter, Radius, and Node Eccentricities in Open Multi-Agent Systems
D. Deplano, M. Franceschelli, A. Giua
IEEE Transactions on Automatic Control, 2026
Manuscript
[J09]
Robust Online Learning over Networks
N. Bastianello, D. Deplano, M. Franceschelli, K.H. Johansson
IEEE Transactions on Automatic Control, 2025 – Best Young Author Journal Paper Award 2026, IEEE CSS Italy Chapter
ManuscriptSlides
[J08]
Stability of Nonexpansive Monotone Systems and Application to Recurrent Neural Networks
D. Deplano, M. Franceschelli, A. Giua
IEEE Control Systems Letters, 2024 – presented at CDC 2024, see [C18]
ManuscriptSlides
[J07]
Novel Stability Conditions for Nonlinear Monotone Systems and Consensus in Multi-Agent Networks
D. Deplano, M. Franceschelli, A. Giua
IEEE Transactions on Automatic Control, 2023
ManuscriptSlides
[J06]
Dynamic Min and Max Consensus and Size Estimation of Anonymous Multi-Agent Networks
D. Deplano, M. Franceschelli, A. Giua
IEEE Transactions on Automatic Control, 2023
ManuscriptSlides
[J05]
A Sliding Mode Observer Design for the Average State Estimation in Large-Scale Systems
A. Pilloni, D. Deplano, A. Giua, E. Usai
IEEE Control Systems Letters, 2022 – presented at CDC 2021, see [C06]
ManuscriptSlidesVideo
[J04]
Distributed Fiedler Vector Estimation with Application to Desynchronization of Harmonic Oscillator Networks
D. Deplano, M. Franceschelli, A. Giua, L. Scardovi
IEEE Control Systems Letters, 2021 – presented at CDC 2020, see [C04]
ManuscriptSlidesVideo
[J03]
A Nonlinear Perron-Frobenius Approach for Stability and Consensus of Discrete-Time Multi-Agent Systems
D. Deplano, M. Franceschelli, A. Giua
Automatica, 2020
ManuscriptSlides
[J02]
A Discrete Event Formulation for Multi-Robot Collision Avoidance on Pre-Planned Trajectories
D. Deplano, M. Franceschelli, S. Ware, R. Su, A. Giua
IEEE Access, 2020
Manuscript
[J01]
Scale-Free Estimation of the Average State in Large-Scale Systems
M.U.B. Niazi, D. Deplano, C. Canudas-de-Wit, A.Y. Kibangou
IEEE Control Systems Letters, 2020 – presented at CDC 2019, see [C03]
ManuscriptSlides
[C28]
Distributed Potential-Based Coordination within Open Multi-Agent Systems
A. Miele, M. Lippi, D. Deplano, M. Franceschelli, A. Gasparri
65th IEEE Conference on Decision and Control (CDC), 2026 – published in IEEE L-CSS, see [J14]
Manuscript
[C27]
Distributed Energy and Thermal Management of Buildings with High-Order RC Thermal Dynamics
Z. Shahrouei, D. Deplano, E. Usai, A. Pisano
65th IEEE Conference on Decision and Control (CDC), 2026 – published in IEEE L-CSS, see [J13]
Manuscript
[C26]
Composite Optimization in Open Multi-Agent Systems under Additive Errors
D. Deplano, N. Bastianello, M. Franceschelli, K.H. Johansson
65th IEEE Conference on Decision and Control (CDC), 2026 – published in IEEE L-CSS, see [J12]
Manuscript
[C25]
Certification of Learning-Based Feedback Linearization under Measurement Perturbations
M. Ledda, D. Deplano, A. Giua, M. Franceschelli
65th IEEE Conference on Decision and Control (CDC), 2026 (accepted)
Manuscript
[C24]
Federated Learning in Open Multi-Agent Systems via Peaceman-Rachford Splitting
D. Deplano, N. Bastianello, M. Franceschelli, K.H. Johansson
23rd IFAC World Congress, 2026
ManuscriptSlides
[C23]
On the Computation of ReLU-Based RNNs Equivalent to CPWA Models of Dynamical Systems and Vice Versa
M. Ledda, D. Deplano, A. Giua, M. Franceschelli
23rd IFAC World Congress, 2026
Manuscript
[C22]
Certification of Autoencoder-Based Models for Dynamical Systems
M. Ledda, D. Deplano, A. Giua, M. Franceschelli
64th IEEE Conference on Decision and Control (CDC), 2025
ManuscriptSlides
[C21]
A Gossip-Based Approach for Measurement Task Allocation and Routing in Multi-Robot Systems with Heterogeneous Sensing
H. Chakraa, D. Deplano, C. Seatzu, D. Lefebvre, M. Franceschelli
21st IEEE International Conference on Automation Science and Engineering (CASE), 2025
ManuscriptSlides
[C20]
On the Convergence of the Krasnoselskij Iteration for Strictly Pseudocontractive Operators
D. Deplano, S. Grammatico, M. Franceschelli
23rd European Control Conference (ECC), 2025
ManuscriptExtended versionSlides
[C19]
Distributed Variance Consensus with Application to Personalized Learning
D. Deplano, N. Bastianello, M. Franceschelli, K.H. Johansson
10th IFAC Conference on Networked Systems (NecSys), 2025
ManuscriptPoster
[C18]
Stability of Nonexpansive Monotone Systems and Application to Recurrent Neural Networks
D. Deplano, M. Franceschelli, A. Giua
63rd IEEE Conference on Decision and Control (CDC), 2024 – published in IEEE L-CSS, see [J08]
ManuscriptSlides
[C17]
Stability of Paracontractive Open Multi-Agent Systems
D. Deplano, M. Franceschelli, A. Giua
63rd IEEE Conference on Decision and Control (CDC), 2024
ManuscriptSlides
[C16]
A Distributed Online Heuristic for a Large-Scale Workforce Task Assignment and Multi-Vehicle Routing Problem
D. Deplano, C. Seatzu, M. Franceschelli
20th IEEE International Conference on Automation Science and Engineering (CASE), 2024
ManuscriptSlides
[C15]
Resilient Networks for Multi-Agent Systems Based on Graph Self-Organization into Random Approximate Regular Graphs
W. Zhao, D. Deplano, Z. Li, A. Giua, M. Franceschelli
20th IEEE International Conference on Automation Science and Engineering (CASE), 2024
ManuscriptSlides
[C14]
Online Coordination of BESS and Thermostatically Control Loads for Shared Energy Optimization in Energy Communities
J.J. Moré, D. Deplano, A. Pilloni, A. Pisano, M. Franceschelli
20th IEEE International Conference on Automation Science and Engineering (CASE), 2024
ManuscriptSlides
[C13]
Distributed Optimization for Networks of Battery Energy Storage Systems in Energy Communities with Shared Energy Incentives
M.A.M. Messilem, D. Deplano, M. Franceschelli, E. Usai, R. Carli
20th IEEE International Conference on Automation Science and Engineering (CASE), 2024
ManuscriptSlides
[C12]
A Unified Approach to Solve the Dynamic Consensus on the Average, Maximum, and Median Values with Linear Convergence
D. Deplano, N. Bastianello, M. Franceschelli, K.H. Johansson
62nd IEEE Conference on Decision and Control (CDC), 2023
ManuscriptSlides
[C11]
Distributed Estimation of the Laplacian Spectrum via Wave Equation and Distributed Optimization
D. Deplano, C. Congiu, A. Giua, M. Franceschelli
22nd IFAC World Congress, 2023
ManuscriptSlidesVideo
[C10]
Experimental Comparison of Models of the Drying-Cooling Process of Flatbreads for Optimized Automated Production: The Case Study of Carasau Bread
D. Deplano, M. Franceschelli, C. Seatzu
9th International Conference on Control, Decision and Information Technologies (CoDIT), 2023
ManuscriptSlides
[C09]
Resilient Self-Organizing Networks in Multi-Agent Systems via Approximate Random k-Regular Graphs
Z.A.Z. Sanai Dashti, D. Deplano, C. Seatzu, M. Franceschelli
61st IEEE Conference on Decision and Control (CDC), 2022
ManuscriptSlidesVideo
[C08]
Dynamic Max-Consensus with Local Self-Tuning
D. Deplano, M. Franceschelli, A. Giua
9th IFAC Conference on Networked Systems (NecSys), 2022 – Best Young Author Award finalist
ManuscriptSlidesVideo
[C07]
Discrete-Time Dynamic Consensus on the Max Value
D. Deplano, M. Franceschelli, A. Giua
15th European Workshop on Advanced Control and Diagnosis (ACD 2019), 2022
ManuscriptSlides
[C06]
A Sliding Mode Observer Design for the Average State Estimation in Large-Scale Systems
A. Pilloni, D. Deplano, A. Giua, E. Usai
60th IEEE Conference on Decision and Control (CDC), 2021 – published in IEEE L-CSS, see [J05]
ManuscriptSlidesVideo
[C05]
Distributed Tracking of Graph Parameters in Anonymous Networks with Time-Varying Topology
D. Deplano, M. Franceschelli, A. Giua
60th IEEE Conference on Decision and Control (CDC), 2021
ManuscriptSlidesVideo
[C04]
Distributed Fiedler Vector Estimation with Application to Desynchronization of Harmonic Oscillator Networks
D. Deplano, M. Franceschelli, A. Giua, L. Scardovi
59th IEEE Conference on Decision and Control (CDC), 2020 – published in IEEE L-CSS, see [J04]
ManuscriptSlidesVideo
[C03]
Scale-Free Estimation of the Average State in Large-Scale Systems
M.U.B. Niazi, D. Deplano, C. Canudas-de-Wit, A.Y. Kibangou
58th IEEE Conference on Decision and Control (CDC), 2019 – published in IEEE L-CSS, see [J01]
ManuscriptSlides
[C02]
Lyapunov-Free Analysis for Consensus of Nonlinear Discrete-Time Multi-Agent Systems
D. Deplano, M. Franceschelli, A. Giua
57th IEEE Conference on Decision and Control (CDC), 2018
ManuscriptSlides
[C01]
A Heuristic Algorithm to Optimize Execution Time of Multi-Robot Path
D. Deplano, S. Ware, R. Su, A. Giua
13th IEEE International Conference on Control & Automation (ICCA), 2017
ManuscriptSlides
