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Exact linearization based multiple-subspace iterative resolution to affine nonlinear control system

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Abstract

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 inducted 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.

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Correspondence to Xu Zi-xiang Doctor  (徐自祥).

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Communicated by ZHONG Wan-xie

Project supported by the Aviation Science Foundation of China (No.2000CB080601) and the National Defence Key Pre-research Project of the ‘Tenth Five-Year-Plan’ of China (No.2002BK080602)

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Xu, Zx., Zhou, Dy. & Deng, Zc. Exact linearization based multiple-subspace iterative resolution to affine nonlinear control system. Appl Math Mech 27, 1665–1671 (2006). https://doi.org/10.1007/s10483-006-1209-z

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  • DOI: https://doi.org/10.1007/s10483-006-1209-z

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Chinese Library Classification

2000 Mathematics Subject Classification

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