Abstract
This paper considers the problem of robust stability and robust stabilization for linear systems with a constant time-delay in the state and subject to real convex polytopic uncertainty. First of all, for robust stability problem, we exploit new matrix inequalities characterization of delay-dependent quadratic stability results, demonstrate that it allows the use of parameter-dependent Lyapunov functionals, and develop control design methods based on linear matrix inequalities (LMIs) for solving the robust control problem. Next, the problem of determining the maximum time-delay under which the system remains stable is cast into a generalized eigenvalue problem and thus solved by LMI techniques. Finally, illustrative examples are given to demonstrate the advantage of these new representations.
| Original language | English |
|---|---|
| Pages (from-to) | 183-193 |
| Number of pages | 11 |
| Journal | Systems and Control Letters |
| Volume | 50 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 22 Oct 2003 |
| Externally published | Yes |
Keywords
- LMI
- Parameter-dependent Lyapunov functions
- Robust stability
- Robust stabilization
- Time-delay systems
- Uncertain systems