Article ID Journal Published Year Pages File Type
6854315 Engineering Applications of Artificial Intelligence 2018 10 Pages PDF
Abstract
Descriptor models are naturally obtained from the Euler-Lagrange modeling approach to mechanical systems. Since the underlying system is nonlinear, global stabilization and/or tracking is possible only in a limited number of cases. Therefore, we develop conditions for local stabilization and tracking of discrete-time descriptor systems represented by Takagi-Sugeno fuzzy models, using both quadratic and nonquadratic Lyapunov functions. An estimate of the region of attraction is also obtained. The conditions are illustrated on a numerical example and in tracking control for a robot arm.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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