activity
20052022
most citedDistributed and Adaptive Algorithms for Vehicle Routing in a Stochastic and Dynamic Environment

120 citations · 647 across the 69 of their papers we have counts for

collaborators

77 papers

eess.SY2022

Safety Barrier Certificates for Stochastic Hybrid Systems

Abolfazl Lavaei, Sadegh Soudjani, Emilio Frazzoli

This work is concerned with the safety controller synthesis of stochastic hybrid systems, in which continuous evolutions are described by stochastic differential equations with bot…

eess.SY2022

Compositional Controller Synthesis for Interconnected Stochastic Systems with Markovian Switching

Abolfazl Lavaei, Emilio Frazzoli

In this work, we propose a compositional scheme for the safety controller synthesis of interconnected discrete-time stochastic systems with Markovian switching signals. Our propose…

eess.SY2022★ 1 cited

CARMA: Fair and efficient bottleneck congestion management via non-tradable karma credits

Ezzat Elokda, Carlo Cenedese, Kenan Zhang +4

This paper proposes a non-monetary traffic demand management scheme, named CARMA, as a fair solution to the morning commute congestion. We consider heterogeneous commuters travelin…

eess.SY2022★ 1 cited

Constructing MDP Abstractions Using Data with Formal Guarantees

Abolfazl Lavaei, Sadegh Soudjani, Emilio Frazzoli +1

This paper is concerned with a data-driven technique for constructing finite Markov decision processes (MDPs) as finite abstractions of discrete-time stochastic control systems wit…

eess.SY2022

Data-Driven Synthesis of Symbolic Abstractions with Guaranteed Confidence

Abolfazl Lavaei, Emilio Frazzoli

In this work, we propose a data-driven approach for the construction of finite abstractions (a.k.a., symbolic models) for discrete-time deterministic control systems with unknown d…

cs.RO2021★ 9 cited

A Compositional Sheaf-Theoretic Framework for Event-Based Systems

Gioele Zardini, David I. Spivak, Andrea Censi +1

A compositional sheaf-theoretic framework for the modeling of complex event-based systems is presented. We show that event-based systems are machines, with inputs and outputs, and…