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Parallel Shooting Sequential Quadratic Programming for Nonlinear MPC Problems
In this paper, we propose a parallel shooting algorithm for solving nonlinear model predictive control problems using sequential quadratic programming.
Model predictive eco-driving control for heavy-duty trucks using Branch and Bound optimization
Eco-driving (ED) can be used for fuel savings in existing vehicles, requiring only a few hardware modifications.
Data-driven predictive control with estimated prediction matrices and integral action
The effectiveness of the developed data-driven predictive controller is illustrated on position control of a linear motor model.
Design and assessment of an eco--driving PMP algorithm for optimal deceleration and gear shifting in trucks
In this paper, an eco--driving Pontryagin maximum principle (PMP) algorithm is designed for optimal deceleration and gear shifting in trucks based on switching among a finite set of driving modes.
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