79 citations · 519 across the 58 of their papers we have counts for
10 papers · 1 filter
Self-Tuning Tube-based Model Predictive Control
Damianos Tranos, Alessio Russo, Alexandre Proutiere
We present Self-Tuning Tube-based Model Predictive Control (STT-MPC), an adaptive robust control algorithm for uncertain linear systems with additive disturbances based on the leas…
Tube-Based Zonotopic Data-Driven Predictive Control
Alessio Russo, Alexandre Proutiere
We present a novel tube-based data-driven predictive control method for linear systems affected by a bounded addictive disturbance. Our method leverages recent results in the reach…
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes
Alessio Russo, Alexandre Proutiere
We investigate the problem of designing optimal stealthy poisoning attacks on the control channel of Markov decision processes (MDPs). This research is motivated by the recent inte…
Data-Driven Control and Data-Poisoning attacks in Buildings: the KTH Live-In Lab case study
Alessio Russo, Marco Molinari, Alexandre Proutiere
This work investigates the feasibility of using input-output data-driven control techniques for building control and their susceptibility to data-poisoning techniques. The analysis…
Poisoning Attacks against Data-Driven Control Methods
Alessio Russo, Alexandre Proutiere
This paper investigates poisoning attacks against data-driven control methods. This work is motivated by recent trends showing that, in supervised learning, slightly modifying the…
Minimizing Information Leakage of Abrupt Changes in Stochastic Systems
Alessio Russo, Alexandre Proutiere
This work investigates the problem of analyzing privacy of abrupt changes for general Markov processes. These processes may be affected by changes, or exogenous signals, that need…
Sample Complexity Lower Bounds for Linear System Identification
Yassir Jedra, Alexandre Proutiere
This paper establishes problem-specific sample complexity lower bounds for linear system identification problems. The sample complexity is defined in the PAC framework: it correspo…
Network Synchronization with Convexity
Guodong Shi, Alexandre Proutiere, Karl Henrik Johansson
In this paper, we establish a few new synchronization conditions for complex networks with nonlinear and nonidentical self-dynamics with switching directed communication graphs. In…
Randomized Consensus with Attractive and Repulsive Links
Guodong Shi, Alexandre Proutiere, Mikael Johansson +1
We study convergence properties of a randomized consensus algorithm over a graph with both attractive and repulsive links. At each time instant, a node is randomly selected to inte…
Distributed Optimization: Convergence Conditions from a Dynamical System Perspective
Guodong Shi, Alexandre Proutiere, Karl Henrik Johansson
This paper explores the fundamental properties of distributed minimization of a sum of functions with each function only known to one node, and a pre-specified level of node knowle…