Receding horizon (RH) control attracts much attention in both the control theory and control applications. For RH control, we have proposed a new computation method for solving simultaneous linear equations by using a Moore-Penrose pseudoinverse and a...
Receding horizon (RH) control attracts much attention in both the control theory and control applications. For RH control, we have proposed a new computation method for solving simultaneous linear equations by using a Moore-Penrose pseudoinverse and a singular value decomposition (SVD). In our proposed method, SVD is achieved by mdLVs and newly developed simultaneous error correction (SEC) method. However, we did not compare our proposed method with I-SVD that also equips mdLVs. In this paper, we compare our proposed method mdLVs/SEC with I-SVD by theoretical analysis and numerical experiments, and we show SEC needs a much smaller computation cost than I-SVD. Finally, we elucidate advantages of SEC in nonlinear RH control in numerical experiments.