Zobrazeno 1 - 10
of 166
pro vyhledávání: '"Monshizadeh, Nima"'
In the recent years, we have observed three significant trends in control systems: a renewed interest in data-driven control design, the abundance of cloud computational services and the importance of preserving privacy for the system under control.
Externí odkaz:
http://arxiv.org/abs/2410.17353
Autor:
Chen, Xiupeng, Monshizadeh, Nima
Targeted interventions in games present a challenging problem due to the asymmetric information available to the regulator and the agents. This note addresses the problem of steering the actions of self-interested agents in quadratic network games to
Externí odkaz:
http://arxiv.org/abs/2409.11069
This paper addresses the problem of energy sharing between a population of price-taking agents who adopt decentralized primal-dual gradient dynamics to find the Competitive Equilibrium (CE). Although the CE is efficient, it does not ensure fairness a
Externí odkaz:
http://arxiv.org/abs/2409.04157
This note aims to provide a systematic understanding of direct data-driven control, enriching the existing literature not by adding another isolated result, but rather by offering a comprehensive, versatile, and unifying framework that sets the stage
Externí odkaz:
http://arxiv.org/abs/2405.10064
Demand response has been a promising solution for accommodating renewable energy in power systems. In this study, we consider a demand response scheme within a distribution network facing an energy supply deficit. The utility company incentivizes loa
Externí odkaz:
http://arxiv.org/abs/2404.00968
We consider the problem of designing a state-feedback controller for a linear system, based only on noisy input-state data. We focus on input-state data corrupted by measurement errors, which, albeit less investigated, are as relevant as process dist
Externí odkaz:
http://arxiv.org/abs/2402.04157
We consider the problem of synthesizing a dynamic output-feedback controller for a linear system, using solely input-output data corrupted by measurement noise. To handle input-output data, an auxiliary representation of the original system is introd
Externí odkaz:
http://arxiv.org/abs/2402.02588
Search for the optimizer in computationally demanding model predictive control (MPC) setups can be facilitated by Cloud as a service provider in cyber-physical systems. This advantage introduces the risk that Cloud can obtain unauthorized access to t
Externí odkaz:
http://arxiv.org/abs/2401.05835
We address the problem of securely outsourcing the solution of algebraic Riccati equations (ARE) to a cloud. Our proposed method explores a middle ground between privacy preserving algebraic transformations and perturbation techniques, aiming to achi
Externí odkaz:
http://arxiv.org/abs/2311.14217
The design of controllers from data for nonlinear systems is a challenging problem. In a recent paper, De Persis, Rotulo and Tesi, "Learning controllers from data via approximate nonlinearity cancellation," IEEE Transactions on Automatic Control, 202
Externí odkaz:
http://arxiv.org/abs/2309.09208