activity
20082026
most citedMoving constraints as stabilizing controls in classical mechanics

24 citations · 134 across the 21 of their papers we have counts for

collaborators

22 papers

math.OC2026

Minimizers that are not Impulsive Minimizers and Higher Order Abnormality

Monica Motta, Michele Palladino, Franco Rampazzo

This paper addresses two related problems in optimal control. The first investigation consists of compatibility issues between two classical approaches to deriving necessary condit…

math.OC2023★ 2 cited

An Abstract Maximum Principle for constrained minimum problems

Monica Motta, Franco Rampazzo

This article makes no claim to originality, other than, perhaps, the simple statement here called the {\it Abstract Maximum Principle}. Actually, the whole contents are strongly ba…

math.OC2023

Goh and Legendre-Clebsh conditions for nonsmooth control systems

Francesca Angrisani, Franco Rampazzo

Higher order necessary conditions for a minimizer of an optimal control problem are generally obtained for systems whose dynamics is at least continuously differentiable in the sta…

math.OC2023★ 2 cited

HJ inequalities involving Lie brackets and feedback stabilizability with cost regulation

Giovanni Fusco, Monica Motta, Franco Rampazzo

With reference to an optimal control problem where the state has to approach asymptotically a closed target while paying a non-negative integral cost, we propose a generalization o…

math.OC2023

A Lie-bracket-based notion of stabilizing feedback in optimal control

Giovanni Fusco, Monica Motta, Franco Rampazzo

For a control system two major issues can be considered: the stabilizability with respect to a given target, and the minimization of an integral functional (while the trajectories…

math.OC2022

Goh conditions for minima of nonsmooth problems with unbounded controls

Francesca Angrisani, Franco Rampazzo

Higher order necessary conditions for a minimizer of an optimal control problem are generally obtained for systems whose dynamics is continuously differentiable in the state variab…