134 citations · 320 across the 43 of their papers we have counts for
47 papers
Interpolation Conditions for Instant Data Consistency with Port-Hamiltonian Structure
Martina Vanelli, Nima Monshizadeh, Julien M. Hendrickx
We develop a data-driven framework for nonlinear port-Hamiltonian (pH) systems based on interpolation conditions to characterize consistency between observed data and structured dy…
Distributed Stability Certification and Control from Local Data
Surya Malladi, Nima Monshizadeh
Most data-driven analysis and control methods rely on centralized access to system measurements. In contrast, we consider a setting in which the measurements are distributed across…
Stability of Information-Based Routing in Dynamic Transportation Networks
Shaya Garjani, Ashish Cherukuri, Bayu Jayawardhana +1
Recent studies on transportation networks have shown that real-time route guidance can inadvertently induce congestion or oscillatory traffic patterns. Nevertheless, such technolog…
Interpolation Conditions for Data Consistency and Prediction in Noisy Linear Systems
Martina Vanelli, Nima Monshizadeh, Julien M. Hendrickx
We develop an interpolation-based framework for noisy linear systems with unknown system matrix with bounded norm (implying bounded growth or non-increasing energy), and bounded pr…
Preserving Privacy in Cloud-based Data-Driven Stabilization
Teimour Hosseinalizadeh, Nima Monshizadeh
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 a…
Towards a Socially Acceptable Competitive Equilibrium in Energy Markets
Koorosh Shomalzadeh, Nima Monshizadeh
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 Equilib…
Data-driven Dynamic Intervention Design in Network Games
Xiupeng Chen, Nima Monshizadeh
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 steeri…
A Versatile Framework for Data-Driven Control of Nonlinear Systems
Nima Monshizadeh, Claudio De Persis, Pietro Tesi
This note aims to provide a systematic investigation of direct data-driven control, enriching the existing literature not by adding another isolated result, but rather by offering…
Optimal Bidding Strategies in Network-Constrained Demand Response: A Distributed Aggregative Game Theoretic Approach
Xiupeng Chen, Jacquelien M. A. Scherpen, Nima Monshizadeh
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…
Controller Synthesis from Noisy-Input Noisy-Output Data
Lidong Li, Andrea Bisoffi, Claudio De Persis +1
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-out…
Controller synthesis for input-state data with measurement errors
Andrea Bisoffi, Lidong Li, Claudio De Persis +1
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 er…
Privacy Analysis of Affine Transformations in Cloud-based MPC: Vulnerability to Side-knowledge
Teimour Hosseinalizadeh, Nils Schlüter, Moritz Schulze Darup +1
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 advant…
Privacy-preserving cloud computation of algebraic Riccati equations
Venkata Surya Prakash Malladi, Nima Monshizadeh
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…
Data-driven control of nonlinear systems from input-output data
Xiaoyan Dai, Claudio De Persis, Nima Monshizadeh +1
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 n…
A Network-Constrained Demand Response Game for Procuring Energy Balancing Services
Xiupeng Chen, Koorosh Shomalzadeh, Jacquelien M. A. Scherpen +1
Securely and efficiently procuring energy balancing services in distribution networks remains challenging, especially within a privacy-preserving environment. This paper proposes a…
Gaussian Mechanism Design for Prescribed Privacy Sets in Data Releasing Systems
Teimour Hosseinalizadeh, Nima Monshizadeh
The data transmitted by cyber-physical systems can be intercepted and exploited by malicious individuals to infer privacy-sensitive information regarding the physical system. This…
Data-based Transfer Stabilization in Linear Systems
Lidong Li, Claudio De Persis, Pietro Tesi +1
We present a novel framework for transferring the knowledge from one system (source) to design a stabilizing controller for a second system (target). Our motivation stems from the…
Dynamic interventions with limited knowledge in network games
Mehran Shakarami, Ashish Cherukuri, Nima Monshizadeh
This paper studies the problem of intervention design for steering the actions of noncooperative players in quadratic network games to the social optimum. The players choose their…
Diagonal Stability of Systems with Rank-1 Interconnections and Application to Automatic Generation Control in Power Systems
John W. Simpson-Porco, Nima Monshizadeh
We study a class of matrices with a rank-1 interconnection structure, and derive a simple necessary and sufficient condition for diagonal stability. The underlying Lyapunov functio…
Private Computation of Polynomials over Networks
Teimour Hosseinalizadeh, Fatih Turkmen, Nima Monshizadeh
This study concentrates on preserving privacy in a network of agents where each agent seeks to evaluate a general polynomial function over the private values of her immediate neigh…
Optimal intervention strategies to mitigate the COVID-19 pandemic effects
Andreas Kasis, Stelios Timotheou, Nima Monshizadeh +1
Governments across the world are currently facing the task of selecting suitable intervention strategies to cope with the effects of the COVID-19 pandemic. This is a highly challen…
PID passivity-based droop control of power converters: Large-signal stability, robustness and performance
Daniele Zonetti, Gilbert Bergna-Diaz, Romeo Ortega +1
We present a full review of PID passivity-based controllers (PBC) applied to power electronic converters, discussing limitations, unprecedented merits and potential improvements in…
Steering the aggregative behavior of noncooperative agents: a nudge framework
Mehran Shakarami, Ashish Cherukuri, Nima Monshizadeh
This paper considers the problem of steering the aggregative behavior of a population of noncooperative price-taking agents towards a desired behavior. Different from conventional…
Exponential Stability and Tuning for a Class of Mechanical Systems
Carmen Chan-Zheng, Pablo Borja, Nima Monshizadeh +1
In this paper, we prove the exponential stability property of a class of mechanical systems represented in the port-Hamiltonian framework. To this end, we propose a Lyapunov candid…