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Vignesh Sivaramakrishnan
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ARCH-COMP18 Category Report: Stochastic Modelling.
A Abate, HAP Blom, N Cauchi, S Haesaert, A Hartmanns, K Lesser, ...
ARCH@ ADHS 54, 71-103, 2018
252018
Piecewise-affine approximation-based stochastic optimal control with Gaussian joint chance constraints
AP Vinod, V Sivaramakrishnan, MMK Oishi
2019 American Control Conference (ACC), 2942-2949, 2019
212019
Distribution steering for discrete-time linear systems with general disturbances using characteristic functions
V Sivaramakrishnan, J Pilipovsky, M Oishi, P Tsiotras
2022 American Control Conference (ACC), 4183-4190, 2022
172022
Convexified Open-Loop Stochastic Optimal Control for Linear Systems with Log-Concave Disturbances
V Sivaramakrishnan, AP Vinod, MMK Oishi
IEEE Transactions on Automatic Control, 2023
8*2023
Approximate stochastic reachability for high dimensional systems
AJ Thorpe, V Sivaramakrishnan, MMK Oishi
2021 American Control Conference (ACC), 1287-1293, 2021
52021
Stochastic multi-satellite maneuvering with constraints in an elliptical orbit
S Priore, A Vinod, V Sivaramakrishnan, C Petersen, M Oishi
2021 American Control Conference (ACC), 4261-4268, 2021
42021
Fast, convexified stochastic optimal open-loop control for linear systems using empirical characteristic functions
V Sivaramakrishnan, MMK Oishi
IEEE Control Systems Letters 4 (4), 1048-1053, 2020
42020
Probabilistic verification of ReLU neural networks via characteristic functions
J Pilipovsky, V Sivaramakrishnan, M Oishi, P Tsiotras
Learning for Dynamics and Control Conference, 966-979, 2023
32023
Predicting Mode Confusion Through Mixed Integer Linear Programming
V Sivaramakrishnan, O Thapliyal, A Vinod, M Oishi, I Hwang
2019 IEEE 58th Conference on Decision and Control (CDC), 2442-2448, 2019
12019
Sampling-Free Enforcement of Non-Gaussian Chance Constraints via Fourier Transforms
A Vinod, V Sivaramakrishnan, M Oishi
SNR '19 Proceedings of the Fifth International Workshop on Symbolic-Numeric …, 2019
12019
Stochastic Reachability of Discrete-Time Stochastic Systems via Probability Measures
K Sivaramakrishnan, V Sivaramakrishnan, MMK Oishi
arXiv preprint arXiv:2304.00598, 2023
2023
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