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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yang, Y. Huang, L. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Mech. & Eng. Sci., Peking Univ., Beijing (Yang, Y.; Huang, L.) |
| Abstract | In this paper, a new method for robust Lagrange stability analysis of a class of nonlinear discrete-time systems is proposed. Both the linear part structured and unstructured uncertainties are considered in a unified way. Sufficient, conditions for robust Lagrange stability are established in terms of linear matrix inequalities (LMIs). With this LMI approach, the largest allowable magnitude of the admissible perturbation was given explicitly by solving a, generalized eigenvalue minimization problem which is essentially a convex optimization problem and numerically efficient, illustrative example confirmed the efficiency and accuracy of the proposed approach |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 313228 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780395131 |
| DOI | 10.1109/ICIEA.2006.257107 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-24 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Lagrangian functions Uncertainty Robust stability Stability analysis Nonlinear systems Feedback Sufficient conditions Eigenvalues and eigenfunctions Control system synthesis Asymptotic stability |
| Content Type | Text |
| Resource Type | Article |
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