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Region maximization technique in robust nonlinear control via state-dependent scaling design

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1 Author(s)
H. Ito ; Dept. of Control Eng. & Sci., Kyushu Inst. of Technol., Fukuoka, Japan

This paper focuses on the state-dependent scaling design for robust nonlinear control and proposes a unified computational approach to nonlinear controller design. The approach seeks a controller maximizing the region of stability instead of maximizing locally-allowable uncertainty size. This paper shows how to formulate problems of region maximization as convex and nonconvex optimization problems. A global optimization algorithm is proposed to solve the nonconvex problem. This paper proposes a novel design procedure which bridges the gap between the computational technique for unspecific nonlinear systems and global stabilization techniques for analytically tractable nonlinear systems

Published in:

American Control Conference, 1999. Proceedings of the 1999  (Volume:2 )

Date of Conference:

2-4 Jun 1999