... simultaneously using magnetic bearings. A two-stage weighting strategy is developed, involving base weightings calculated by using a singular value decomposition of the system’s receptance matrices and an adjustable single weighting parameter tuned automatically to shift the balance between the two objective...

... but generates physically unreasonable actuator solutions, i.e. input-constraint-violation. The reason of input-constraint-violating control solutions—ill-conditionedness—is shown by applying singular value decomposition (SVD) on the linear algebraic equivalence of the nonlinear controllers (LAENC). Based...

...Kwan-Woong Gwak; Glenn Y. Masada Structural information of a system/controller allows a designer to diagnose performance characteristics in advance and to make better choices of solution methods. Singular value decomposition (SVD) is a powerful structural analysis tool for linear systems...

... linear systems discrete time systems optimal control matrix algebra singular value decomposition Banded-matrix methods are one method aimed at achieving O(N) complexity (flops and storage) for model-based optimal trajectory generation, where N is the number of time steps or sample periods...