Data-Driven Safe Predictive Control Using Spatial Temporal Filter-based Function Approximators
Author:
Affiliation:
1. Michigan State University,Department of Mechanical Engineering,East Lansing,USA,MI 48824
2. Ford Motor Company,The Research and Advanced Engineering,Dearborn,USA,MI 48121
Funder
Ford Motor Company
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867573.pdf?arnumber=9867573
Reference25 articles.
1. Dynamic Tube MPC for Nonlinear Systems
2. Guaranteed Obstacle Avoidance for Multi-Robot Operations With Limited Actuation: A Control Barrier Function Approach
3. Intersection-Traffic Control of Autonomous Vehicles using Newton-Raphson Flows and Barrier Functions
4. Adaptive Safety with Multiple Barrier Functions Using Integral Concurrent Learning
5. Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
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