Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6866523 | Neurocomputing | 2014 | 7 Pages |
Abstract
This paper is considered with the Hâ observer design problem for a class of nonlinear systems with the one-sided Lipschitz condition. The systems under consideration include the well-studied Lipschitz system as a special case and possess inherent advantages with respect to conservativeness. For such systems in the presence of noises, we develop a Linear Matrix Inequality (LMI) based approach to design a nonlinear Hâ observer by carefully dealing with the one-sided Lipschitz condition together with the quadratic inner-bounded condition. The resulting nonlinear Hâ observer guarantees asymptotic stability of the estimation error dynamics with a prescribed Hâ performance. Moreover, for the design purpose, the existence condition of the proposed nonlinear Hâ observer is formulated in terms of LMIs by using a matrix generalized inverse technique. Finally, a simulation example is given to illustrate the effectiveness of the proposed design.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Wei Zhang, Housheng Su, Shengchao Su, Dazhong Wang,