摘要:AbstractWe consider model predictive control (MPC) without stabilizing terminal constraints and costs for systems governed by linear Differential-Algebraic Equations. To this end, an augmented system is introduced to derive an equivalent formulation of the underlying Optimal Control Problem to be solved in each MPC iteration, which is only constrained by an Ordinary Differential Equation. This facilitates the analysis and the computation of a prediction horizon such that asymptotic stability of the origin w.r.t. the MPC closed-loop is guaranteed.
关键词:KeywordsAsymptotic stabilitydifferential algebraic equationsmodel based controloptimization horizonpredictive control