activity
20242026
collaborators

14 papers

eess.SY2026

Safe and Energy-Aware Multi-Robot Density Control via PDE-Constrained Optimization for Long-Duration Autonomy

Longchen Niu, Andrew Nasif, Gennaro Notomista

This paper presents a novel density control framework for multi-robot systems with spatial safety and energy sustainability guarantees. Stochastic robot motion is encoded through t…

math.DS2026

-stability of Differentially Flat Systems with Application to Newton-Raphson Tracking Control for Vehicle Dynamics

Aadila Ali Sabry, Gennaro Notomista

This paper studies the -stability property of differentially flat nonlinear dynamical systems. The results build off the recently introduced notion of -stability, which is…

eess.SY2026

Safe and Energy-Aware Decentralized PDE-Constrained Optimization-Based Control of Multi-UAVs for Persistent Wildfire Suppression

Longchen Niu, Gennaro Notomista

This paper presents a safe and energy-aware optimization-based control framework for multi-UAV wildfire suppression under localization and motion uncertainties. We first develop a…

eess.SY2026

Disentangled Control of Multi-Agent Systems

Ruoyu Lin, Gennaro Notomista, Magnus Egerstedt

This paper develops a general framework with convergence guarantees for multi-agent control synthesis, which applies to a wide range of problems, including those with time-varying…

eess.SY2026

''It Is Much Safer to Be Sparse than Connected'': Safe Control of Robotic Swarm Density Dynamics with PDE-Optimization with State Constraints

Longchen Niu, Gennaro Notomista

This paper introduces a safety-critical optimization-based control strategy that leverages control Lyapunov and control barrier functions to guide the spatial density of robotic sw…

eess.SY2026

Optimization-Free Constrained Control with Guaranteed Recursive Feasibility: A CBF-Based Reference Governor Approach

Satoshi Nakano, Emanuele Garone, Gennaro Notomista

This letter presents a constrained control framework that integrates Explicit Reference Governors (ERG) with Control Barrier Functions (CBF) to ensure recursive feasibility without…