activity
20162024
most citedA Projected Gradient and Constraint Linearization Method for Nonlinear Model Predictive Control

2 citations · 3 across the 9 of their papers we have counts for

collaborators

9 papers

math.OC2024

Estimation Network Design framework for efficient distributed optimization

Mattia Bianchi, Sergio Grammatico

Distributed decision problems features a group of agents that can only communicate over a peer-to-peer network, without a central memory. In applications such as network control an…

eess.SY2024

An Efficient Risk-aware Branch MPC for Automated Driving that is Robust to Uncertain Vehicle Behaviors

Luyao Zhang, George Pantazis, Shaohang Han +1

One of the critical challenges in automated driving is ensuring safety of automated vehicles despite the unknown behavior of the other vehicles. Although motion prediction modules…

eess.SY2023

A Semi-Decentralized Tikhonov-based Algorithm for Optimal Generalized Nash Equilibrium Selection

Emilio Benenati, Wicak Ananduta, Sergio Grammatico

To optimally select a generalized Nash equilibrium, in this paper, we propose a semi-decentralized algorithm based on a double-layer Tikhonov regularization method. Technically, we…

math.OC2023

Linear convergence in time-varying generalized Nash equilibrium problems

Mattia Bianchi, Emilio Benenati, Sergio Grammatico

We study generalized games with full row rank equality constraints and we provide a strikingly simple proof of strong monotonicity of the associated KKT operator. This allows us to…

math.OC20231 cited

Stability of singularly perturbed hybrid systems with restricted systems evolving on boundary layer manifolds

Suad Krilašević, Sergio Grammatico

We present a singular perturbation theory applicable to systems with hybrid boundary layer systems and hybrid reduced systems {with} jumps from the boundary layer manifold. First,…

math.OC2023

A discrete-time averaging theorem and its application to zeroth-order Nash equilibrium seeking

Suad Krilašević, Sergio Grammatico

In this paper we present an averaging technique applicable to the design of zeroth-order Nash equilibrium seeking algorithms. First, we propose a multi-timescale discrete-time aver…