Abstract
A control problem of Takagi-Sugeno fuzzy systems with a time-varying input delay and norm-bounded uncertainties is addressed. The input delay is well-known in making the closed-loop stabilization difficult. A sufficient condition for the robust fuzzy-model-based stabilization is derived based on the Lyapunov-Razumikhin stability theorem, without the assumption of the variation rate on the delay. A constructive design scheme is presented in the form of the iterative convex optimization problem. The effectiveness of the proposed method is demonstrated by a numerical simulation of a nonlinear mass-spring-damper system.
Original language | English |
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Pages (from-to) | 302-306 |
Number of pages | 5 |
Journal | Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME |
Volume | 127 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2005 Jun |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Information Systems
- Instrumentation
- Mechanical Engineering
- Computer Science Applications