collaborators

13 papers

eess.SY2026

Benchmarking Sequential Feedback Optimization for Wind Farm Power Maximization

Shijie Huang, Sergio Grammatico

This paper benchmarks sequential feedback optimization (SFO) for wind farm power maximization using a medium-fidelity dynamic flow model. We compare SFO with two well-established a…

math.OC2026

Fast Newton methods for linear-quadratic dynamic games with application to autonomous vehicle platooning and intersection crossing

Reza Rahimi Baghbadorani, Sergio Grammatico

We consider constrained linear-quadratic dynamic games arising in autonomous vehicle platooning, intersection crossing and other cooperative driving scenarios. Infinite-horizon Nas…

math.OC2026

Learning-Based Stackelberg Equilibrium Seeking with Application to Demand-Side Energy Management

Silvia Cianchi, Reza Rahimi Baghbadorani, Anibal Sanjab +1

Demand-side management (DSM) enables distribution system operators (DSOs) to steer electricity consumption through dynamic price signals or incentive mechanisms, thereby leveraging…

math.OC2026

Induced Stackelberg Equilibrium Seeking via Iterative Tikhonov Regularization

Silvia Cianchi, Anibal Sanjab, Sergio Grammatico

Existing methods for learning Stackelberg equilibria typically assume that the followers' (variational, generalized) Nash equilibrium is unique. However, in the presence of multipl…

eess.SY2026

A Douglas-Rachford Splitting Method for Solving Monotone Variational Inequalities in Linear-quadratic Dynamic Games

Reza Rahimi Baghbadorani, Emilio Benenati, Sergio Grammatico

This paper considers constrained linear dynamic games with quadratic objective functions, which can be cast as affine variational inequalities. By leveraging the problem structure,…

math.OC2026

Locally Linear Convergence for Nonsmooth Convex Optimization via Coupled Smoothing and Momentum

Reza Rahimi Baghbadorani, Sergio Grammatico, Peyman Mohajerin Esfahani

We propose an adaptive accelerated smoothing technique for a nonsmooth convex optimization problem where the smoothing update rule is coupled with the momentum parameter. We also e…