2025/12/03 by Steven van Leeuwen, van Leeuwen, Steven, Ilya Kolmanovsky +1
Engineering · #Advanced Control Systems Optimization #Spacecraft Dynamics and Control #Control Systems and Identification
paper · pdf · doi:10.48550/arxiv.2512.03410
A strategy for reducing the number of iterations and computational burden in shrinking horizon Model Predictive Control (SH-MPC) when steering into a prescribed terminal set despite unmeasured disturbances is proposed. This strategy exploits dynamic adjustment of the terminal cost weight and horizon length while ensuring that the terminal set is reached within a desired number of steps. A lower Hessian condition number which facilitates the computational reduction is proved under assumptions, and an example of spacecraft nutation damping using the proposed approach is reported.