activity
20032026
most citedTuning of multivariable model predictive controllersthrough expert bandit feedback

12 citations · 20 across the 28 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

math.OC2021

Exploiting homogeneity for the optimal control of discrete-time systems: application to value iteration

Mathieu Granzotto, Romain Postoyan, Lucian Buşoniu +2

To investigate solutions of (near-)optimal control problems, we extend and exploit a notion of homogeneity recently proposed in the literature for discrete-time systems. Assuming t…

eess.SY2021

Event-triggered observer design for linear systems

E. Petri, R. Postoyan, D. Astolfi +2

We present an event-triggered observer design for linear time-invariant systems, where the measured output is sent to the observer only when a triggering condition is satisfied. We…

eess.SY2021

A Robust CACC Scheme Against Cyberattacks Via Multiple Vehicle-to-Vehicle Networks

Tianci Yang, Carlos Murguia, Dragan Nešić +1

Cooperative Adaptive Cruise Control (CACC) is a vehicular technology that allows groups of vehicles on the highway to form in closely-coupled automated platoons to increase highway…

eess.SY20211 cited

On Joint Reconstruction of State and Input-Output Injection Attacks for Nonlinear Systems

Tianci Yang, Carlos Murguia, Chen Lv +2

We address the problem of robust state reconstruction for discrete-time nonlinear systems when the actuators and sensors are injected with (potentially unbounded) attack signals. E…

math.OC2021

Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods

Yankai Lin, Iman Shames, Dragan Nesic

We study the problem of minimizing the sum of potentially non-differentiable convex cost functions with partially overlapping dependences in an asynchronous manner, where communica…

math.OC2021

A Sequential Learning Algorithm for Probabilistically Robust Controller Tuning

Robert Chin, Chris Manzie, Iman Shames +2

We introduce a sequential learning algorithm to address a robust controller tuning problem, which in effect, finds (with high probability) a candidate solution satisfying the inter…