Christopher Petersen
ABSTRACT
Model Predictive Control (MPC) is an optimal control method that is attractive for safe, efficient and goal based satellite operation. However, current satellite systems have limited computation and thus standard MPC approaches are limited. To overcome this, we propose a hybrid dynamical systems framework to encompass both satellite and optimizer dynamics. This enables a practical analysis of MPC and allows for user trade off between feasibility and optimality via tuneable parameters while retaining asymptotic stability.
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- Towards hybrid model predictive control for computationally aware satellite applications
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