129 citations · 368 across the 70 of their papers we have counts for
8 papers · 1 filter
Compositional Abstraction-based Synthesis for Networks of Stochastic Switched Systems
Abolfazl Lavaei, Sadegh Soudjani, Majid Zamani
In this paper, we provide a compositional approach for constructing finite abstractions (a.k.a. finite Markov decision processes (MDPs)) of interconnected discrete-time stochastic…
Symbolic Controller Synthesis for Büchi Specifications on Stochastic Systems
Rupak Majumdar, Kaushik Mallik, Sadegh Soudjani
We consider the policy synthesis problem for continuous-state controlled Markov processes evolving in discrete time, when the specification is given as a Büchi condition (visit a s…
A Lyapunov Approach for Time Bounded Reachability of CTMCs and CTMDPs
Mahmoud Salamati, Sadegh Soudjani, Rupak Majumdar
Time bounded reachability is a fundamental problem in model checking continuous-time Markov chains (CTMCs) and Markov decision processes (CTMDPs) for specifications in continuous s…
Compositional Abstraction-based Synthesis of General MDPs via Approximate Probabilistic Relations
Abolfazl Lavaei, Sadegh Soudjani, Majid Zamani
We propose a compositional approach for constructing abstractions of general Markov decision processes using approximate probabilistic relations. The abstraction framework is based…
Formal Synthesis of Stochastic Systems via Control Barrier Certificates
Pushpak Jagtap, Sadegh Soudjani, Majid Zamani
This paper focuses on synthesizing control policies for discrete-time stochastic control systems together with a lower bound on the probability that the systems satisfy the complex…
Compositional Abstraction of Large-Scale Stochastic Systems: A Relaxed Dissipativity Approach
Abolfazl Lavaei, Sadegh Soudjani, Majid Zamani
In this paper, we propose a compositional approach for the construction of finite abstractions (a.k.a. finite Markov decision processes (MDPs)) for networks of discrete-time stocha…
Perception-in-the-Loop Adversarial Examples
Mahmoud Salamati, Sadegh Soudjani, Rupak Majumdar
We present a scalable, black box, perception-in-the-loop technique to find adversarial examples for deep neural network classifiers. Black box means that our procedure only has inp…
Automated Synthesis of Safe Digital Controllers for Sampled-Data Stochastic Nonlinear Systems
Fedor Shmarov, Sadegh Soudjani, Nicola Paoletti +4
We present a new method for the automated synthesis of digital controllers with formal safety guarantees for systems with nonlinear dynamics, noisy output measurements, and stochas…