4 citations · 5 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
Intersection of Reinforcement Learning and Bayesian Optimization for Intelligent Control of Industrial Processes: A Safe MPC-based DPG using Multi-Objective BO
Hossein Nejatbakhsh Esfahani, Javad Mohammadpour Velni
Model Predictive Control (MPC)-based Reinforcement Learning (RL) offers a structured and interpretable alternative to Deep Neural Network (DNN)-based RL methods, with lower computa…
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 (…