Optimal Decision Making for Automated Vehicles Using Homotopy Generation and Nonlinear Model Predictive Control

Author(s):  
Vivian Z. Patterson ◽  
Francis E. Lewis ◽  
J. Christian Gerdes
Author(s):  
Amith Manoharan

Unmanned aerial vehicles (UAVs) have reached significant maturity over several years for safe civilian operations like mapping, search and rescue. The operation performance can be significantly improved by deploying multiple cooperating UAVs and optimal decision making. In this work, we present the use of nonlinear model predictive control (NMPC) for two different applications involving cooperative UAVs.


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