XU Zi-xiang, ZHOU De-yun, DENG Zi-chen. Exact Linearization Based Multiple-Subspace Iterative Resolution to Affine Nonlinear Control System[J]. Applied Mathematics and Mechanics, 2006, 27(12): 1457-1463.
Citation:
XU Zi-xiang, ZHOU De-yun, DENG Zi-chen. Exact Linearization Based Multiple-Subspace Iterative Resolution to Affine Nonlinear Control System[J]. Applied Mathematics and Mechanics, 2006, 27(12): 1457-1463.
XU Zi-xiang, ZHOU De-yun, DENG Zi-chen. Exact Linearization Based Multiple-Subspace Iterative Resolution to Affine Nonlinear Control System[J]. Applied Mathematics and Mechanics, 2006, 27(12): 1457-1463.
Citation:
XU Zi-xiang, ZHOU De-yun, DENG Zi-chen. Exact Linearization Based Multiple-Subspace Iterative Resolution to Affine Nonlinear Control System[J]. Applied Mathematics and Mechanics, 2006, 27(12): 1457-1463.
To the optimal control problem of affine nonlinear system, based on differential geometry theory, feedback precise linearization was used. Then starting from the simulative relationship between computational structural mechanics and optimal control, multiple-substructure method was induced to solve the optimal control problem which was linearized. And finally the solution to the original nonlinear system was found. Compared with the classical linearizational method of Taylor expansion, this one diminishes the abuse of error expansion with the enlargement of used region.
Cheng D,Tarn T J,Isidori A.Global external linearization of nonlinear system via feedback[J].IEEE Transactions on Automatic Control,1985,39(8):808—811.