Safety-critical model predictive control with discrete-time control barrier function
The optimal performance of robotic systems is usually achieved near the limit of state and
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …
Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
J Zeng, B Zhang, K Sreenath - 2021 American Control Conference (ACC), 2021 - par.nsf.gov
The optimal performance of robotic systems is usually achieved near the limit of state and
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …
Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
J Zeng, B Zhang, K Sreenath - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
The optimal performance of robotic systems is usually achieved near the limit of state and
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …
[PDF][PDF] Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
J Zeng, B Zhang, K Sreenath - researchgate.net
The optimal performance of robotic systems is usually achieved near the limit of state and
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …
Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
J Zeng, B Zhang, K Sreenath - arXiv preprint arXiv:2007.11718, 2020 - arxiv.org
The optimal performance of robotic systems is usually achieved near the limit of state and
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …
[PDF][PDF] Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
J Zeng, B Zhang, K Sreenath - hybrid-robotics.berkeley.edu
The optimal performance of robotic systems is usually achieved near the limit of state and
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …
[PDF][PDF] Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
J Zeng, B Zhang, K Sreenath - researchgate.net
The optimal performance of robotic systems is usually achieved near the limit of state and
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …
input bounds. Model predictive control (MPC) is a prevalent strategy to handle these …