4 citations · 5 across the 5 of their papers we have counts for
5 papers
Safety Critical Model Predictive Control Using Discrete-Time Control Density Functions
Sriram S. K. S. Narayanan, Sajad Ahmadi, Javad Mohammadpour Velni +1
This paper presents MPC-CDF, a new approach integrating control density functions (CDFs) within a model predictive control (MPC) framework to ensure safety-critical control in nonl…
Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks
Yajie Bao, Javad Mohammadpour Velni
Scenario-based optimization and control has proven to be an efficient approach to account for system uncertainty. In particular, the performance of scenario-based model predictive…
High-throughput Cotton Phenotyping Big Data Pipeline Lambda Architecture Computer Vision Deep Neural Networks
Amanda Issac, Alireza Ebrahimi, Javad Mohammadpour Velni +1
In this study, we propose a big data pipeline for cotton bloom detection using a Lambda architecture, which enables real-time and batch processing of data. Our proposed approach le…
Impact of Information Flow Topology on Safety of Tightly-coupled Connected and Automated Vehicle Platoons Utilizing Stochastic Control
Mahdi Razzaghpour, Sahand Mosharafian, Arash Raftari +2
Cooperative driving, enabled by Vehicle-to-Everything (V2X) communication, is expected to significantly contribute to the transportation system's safety and efficiency. Cooperative…
LPV Modeling of Nonlinear Systems: A Multi-Path Feedback Linearization Approach
Hossam S. Abbas, Roland Tóth, Mihály Petreczky +3
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are described by input affine state-space (…