14 citations · 46 across the 58 of their papers we have counts for
10 papers · 1 filter
Scen-Opt: A Scenario Optimization Toolbox for Data-Driven Convex Programming
Ben Wooding, Simone Garatti, Marco C. Campi +1
The scenario approach is a well-established statistical framework for data-driven decision-making. In particular, in data-driven optimization, the scenario approach unveils how the…
Data-Driven Formal Methods for Complex Dynamical Systems: A Survey
Behrad Samari, Alessandro Abate, Antoine Girard +3
Data-driven approaches with formal guarantees have recently emerged as a powerful means for the verification and controller synthesis of complex dynamical systems. Interest in thes…
Safe Packetized Control for Stochastic Constrained Networked Systems
Omid Akbarzadeh, MohammadHossein Ashoori, Mohammad H. Mamduhi +1
This work develops a formal framework for the synthesis of packetized safety controllers for discrete-time polynomial stochastic networked control systems (dt-PSNCS) operating unde…
Data-Driven Stabilizing Controller Design for Linear Infinite Networks
Mahdieh Zaker, Andrii Mironchenko, Amy Nejati +1
We propose a direct data-driven method for controller synthesis of infinite networks composed of unknown linear time-invariant subsystems. Using a single set of noise-corrupted inp…
k-Inductive Neural Barrier Certificates for Unknown Nonlinear Dynamics
Ben Wooding, Hongchao Zhang, Taylor T. Johnson +1
While conventional (k=1) discrete-time barrier certificate conditions impose strict safety constraints by requiring the function to be non-increasing at every step, k-inductive bar…
Data-Driven Global Stabilization of Unknown Infinite Networks
Mahdieh Zaker, Andrii Mironchenko, Amy Nejati +1
This paper develops a direct data-driven framework for infinite networks with unknown nonlinear polynomial subsystems, enabling the synthesis of controllers that ensure the entire…
Towards Certified Sim-to-Real Transfer via Stochastic Simulation-Gap Functions
P Sangeerth, Abolfazl Lavaei, Pushpak Jagtap
This paper introduces the notion of stochastic simulation-gap function, which formally quantifies the gap between an approximate mathematical model and a high-fidelity stochastic s…
From Noisy Data to Hierarchical Control: A Model-Order-Reduction Framework
Behrad Samari, Henrik Sandberg, Karl H. Johansson +1
This paper develops a direct data-driven framework for constructing reduced-order models (ROMs) of discrete-time linear dynamical systems with unknown dynamics and process disturba…
Safety Controller Synthesis for Stochastic Polynomial Time-Delayed Systems
Omid Akbarzadeh, MohammadHossein Ashoori, Amy Nejati +1
This work develops a theoretical framework for safety controller synthesis in discrete-time stochastic nonlinear polynomial systems subject to time-invariant delays (dt-SNPS-td). W…
A Data-Driven Krasovskii-Based Approach for Safety Controller Design of Time-Delayed Uncertain Polynomial Systems
Omid Akbarzadeh, MohammadHossein Ashoori, Amy Nejati +1
We develop a data-driven framework for the synthesis of robust Krasovskii control barrier certificates (RK-CBC) and corresponding robust safety controllers (R-SC) for discrete-time…