Efficient Sparse ADMM-based Solver for Linear Model Predictive Control with Terminal Quadratic Constraint

The article presents a sparse ADMM-based solver for linear model predictive control (MPC) problems with a terminal quadratic constraint. The proposed approach directly handles the quadratic constraint without reformulating it as a second-order cone constraint, retaining the simple matrix structures that enable efficient computation.