Searched for: author%3A%22Grammatico%2C+S.%22
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Ananduta, W. (author), Grammatico, S. (author)
We formulate for the first time the economic dispatch problem among prosumers in an integrated electrical and gas distribution system (IEGDS) as a game equilibrium problem. Specifically, by approximating the nonlinear gas-flow equations either with a mixed-integer second-order cone (MISOC) or a piecewise affine (PWA) model and by assuming...
journal article 2024
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Raja, A.A. (author), Pinson, Pierre (author), Kazempour, Jalal (author), Grammatico, S. (author)
In many areas of industry and society, including energy, healthcare, and logistics, agents collect vast amounts of data that are deemed proprietary. These data owners extract predictive information of varying quality and relevance from data depending on quantity, inherent information content, and their own technical expertise. Aggregating...
journal article 2024
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Kalisvaart, D. (author), Bonekamp, Jorge (author), Grammatico, S. (author)
We study predictive control for blood glucose regulation in patients with type 1 diabetes mellitus. We determine optimal control actions for insulin and glucagon infusion via linear time-varying model predictive control (LTV MPC) and dynamic linerization around the state trajectory predicted. Through in silico implementation of a...
conference paper 2023
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Benenati, E. (author), Ananduta, W. (author), Grammatico, S. (author)
To optimally select a generalized Nash equilibrium, in this paper, we consider a semi-decentralized algorithm based on a double-layer Tikhonov regularization algorithm. Technically, we extend the Tikhonov method for equilibrium selection to generalized games. Next, we couple such an algorithm with the preconditioned forward-backward splitting...
conference paper 2023
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Raja, A.A. (author), Grammatico, S. (author)
In this article, we propose a bilateral peer-to-peer (P2P) energy trading scheme under single-contract and multi-contract market setups, both as an assignment game, a special class of coalitional games. The proposed market formulation allows for efficient computation of a market equilibrium while keeping the desired economic properties...
journal article 2023
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Krilašević, S. (author), Grammatico, S. (author)
In this paper, we solve the problem of learning a generalized Nash equilibrium (GNE) in merely monotone games. First, we propose a novel continuous semi-decentralized solution algorithm without projections that uses first-order information to compute a GNE with a central coordinator. As the second main contribution, we design a gain...
journal article 2023
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Zhang, L. (author), Han, S. (author), Grammatico, S. (author)
In this paper, we propose a novel behavior planner that combines game theory with search-based planning for automated lane merging. Specifically, inspired by human drivers, we model the interaction between vehicles as a gap selection process. To overcome the challenge of multi-modal behavior exhibited by the surrounding vehicles, we formulate...
conference paper 2023
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Bianchi, M. (author), Benenati, E. (author), Grammatico, S. (author)
We study generalized games with full row rank equality coupling constraints and we provide a strikingly simple proof of strong monotonicity of the associated KKT operator. This allows us to show linear convergence to a variational equilibrium of the resulting primal-dual pseudo-gradient dynamics. Then, we propose a fully-distributed algorithm...
conference paper 2023
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Benenati, E. (author), Ananduta, W. (author), Grammatico, S. (author)
A fundamental open problem in monotone game theory is the computation of a specific generalized Nash equilibrium (GNE) among all the available ones, e.g. the optimal equilibrium with respect to a system-level objective. The existing GNE seeking algorithms have in fact convergence guarantees toward an arbitrary, possibly inefficient,...
journal article 2023
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Martinez-Piazuelo, Juan (author), Ananduta, W. (author), Ocampo-Martinez, Carlos (author), Grammatico, S. (author), Quijano, Nicanor (author)
We consider a large population of decision makers that choose their evolutionary strategies based on simple pairwise imitation rules. We describe such a dynamic process by the replicator dynamics. Differently from the available literature, where the payoffs signals are assumed to be updated continuously, we consider a more realistic scenario...
journal article 2023
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Belgioioso, Giuseppe (author), Grammatico, S. (author)
We address the generalized Nash equilibrium seeking problem for a population of agents playing aggregative games with affine coupling constraints. We focus on semi-decentralized communication architectures, where there is a central coordinator able to gather and broadcast signals of aggregative nature to the agents. By exploiting the...
journal article 2023
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Franci, B. (author), Grammatico, S. (author)
Generative adversarial networks (GANs) are a class of generative models with two antagonistic neural networks: a generator and a discriminator. These two neural networks compete against each other through an adversarial process that can be modeled as a stochastic Nash equilibrium problem. Since the associated training process is challenging,...
journal article 2023
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Ciuffo, Biagio (author), Makridis, Michail (author), Benenati, E. (author), Boriboonsomsin, Kanok (author), Chembakasseril, Mamen Thomas (author), Daras, Petros (author), Das, Viswanath (author), Grammatico, S. (author), Hoelscher, Malte (author), Krilašević, S. (author)
Vehicle automation and connectivity bring new opportunities for safe and sustainable mobility in urban and highway networks. Such opportunities are however not directly associated with traffic flow improvements. Research on exploitation of connected and automated vehicles (CAVs) toward a more efficient traffic currently remains at a...
journal article 2023
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Glielmo, Luigi (author), Grammatico, S. (author), Kebriaei, Hamed (author), Smith, Roy S. (author)
Editorial
contribution to periodical 2023
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Ananduta, W. (author), Grammatico, S. (author)
We consider a clearing problem in peer-to-peer energy markets, where prosumers can trade energy among each other and with the main grid to meet their energy demands. By using a game-theoretic formulation and exploiting operator-theoretic methods for generalized Nash equilibrium seeking, we propose two variants of the state-of-the-art distributed...
journal article 2022
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Franci, B. (author), Grammatico, S. (author)
We consider for the first time a stochastic generalized Nash equilibrium problem, i.e., with expected-value cost functions and joint feasibility constraints, under partial-decision information, meaning that the agents communicate only with some trusted neighbors. We propose several distributed algorithms for network games and aggregative...
journal article 2022
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Franci, B. (author), Grammatico, S. (author)
We solve the stochastic generalized Nash equilibrium (SGNE) problem in merely monotone games with expected value cost functions. Specifically, we present the first distributed SGNE-seeking algorithm for monotone games that require one proximal computation (e.g., one projection step) and one pseudogradient evaluation per iteration. Our main...
journal article 2022
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Ananduta, W. (author), Grammatico, S. (author)
We present a distributed Nash equilibrium seeking method based on the Bregman forward-backward splitting, which allows us to have a mirror mapping instead of the standard projection as the backward operator. Our main technical contribution is to show convergence to a Nash equilibrium when the game has cocoercive pseudogradient mapping....
journal article 2022
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Bianchi, M. (author), Grammatico, S. (author)
We consider Nash equilibrium problems in a partial-decision information scenario, where each agent can only exchange information with some neighbors, while its cost function possibly depends on the strategies of all agents. We characterize the relation between several monotonicity and smoothness assumptions postulated in the literature....
conference paper 2022
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Ananduta, W. (author), Grammatico, S. (author)
We formulate the optimal flow problem in a multi-area integrated electrical and gas system as a mixed-integer optimization problem by approximating the non-linear gas flows with piece-wise affine functions, thus resulting in a set of mixed-integer linear constraints. For its solution, we propose a novel algorithm that consists in one stage for...
conference paper 2022
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