activity
20202023
most citedDirect Construction of Program Alignment Automata for Equivalence Checking

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY2023

BDD for Complete Characterization of a Safety Violation in Linear Systems with Inputs

Manish Goyal, David Bergman, Parasara Sridhar Duggirala

The control design tools for linear systems typically involves pole placement and computing Lyapunov functions which are useful for ensuring stability. But given higher requirement…

eess.SY2022

NExG: Provable and Guided State Space Exploration of Neural Network Control Systems using Sensitivity Approximation

Manish Goyal, Miheer Dewaskar, Parasara Sridhar Duggirala

We propose a new technique for performing state space exploration of closed loop control systems with neural network feedback controllers. Our approach involves approximating the s…

cs.SE2021★ 1 cited

Direct Construction of Program Alignment Automata for Equivalence Checking

Manish Goyal, Muqsit Azeem, Kumar Madhukar +1

The problem of checking whether two programs are semantically equivalent or not has a diverse range of applications, and is consequently of substantial importance. There are severa…

cs.RO2021

Safety and progress proofs for a reactive planner and controller for autonomous driving

Abolfazl Karimi, Manish Goyal, Parasara Sridhar Duggirala

In this paper, we perform safety and performance analysis of an autonomous vehicle that implements reactive planner and controller for navigating a race lap. Unlike traditional pla…

eess.SY2020

NeuralExplorer: State Space Exploration of Closed Loop Control Systems Using Neural Networks

Manish Goyal, Parasara Sridhar Duggirala

In this paper, we propose a framework for performing state space exploration of closed loop control systems. Our approach involves approximating sensitivity and a newly introduced…