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Improved delay-range-dependent stability analysis of a time-delay system with norm bounded uncertainty
Rajeeb Dey1, Sandip Ghosh2, Goshaidas Ray3
1Department of Electrical Engineering, National Institute of Technology, Silchar 788010, India.
This study enhances stability analysis for uncertain linear time-delay systems using integral inequalities. It compares non-delay partitioning and delay partitioning methods for improved robustness and delay bounds.
Area of Science:
- Control Theory
- Systems Engineering
- Applied Mathematics
Background:
- Linear time-delay systems are crucial in various engineering fields.
- Robust stability analysis is essential for system reliability under uncertainty.
- Existing methods for delay-range-dependent stability analysis have limitations.
Purpose of the Study:
- To develop improved robust delay-range-dependent stability criteria for uncertain linear time-delay systems.
- To compare the efficacy of non-delay partitioning (NDP) and delay partitioning (DP) approaches.
- To investigate the trade-offs between delay bounds and computational complexity.
Main Methods:
- Utilizing integral inequalities to approximate uncertain integration limits in Lyapunov-Krasovskii functionals.
- Applying both non-delay partitioning (NDP) and delay partitioning (DP) frameworks.
- Comparative analysis of the derived stability criteria.
Main Results:
- The proposed integral inequality approach yields less conservative stability results compared to existing methods.
- A detailed comparison highlights the relative merits of NDP and DP.
- Identified trade-offs allow for optimizing delay bounds and reducing decision variables.
Conclusions:
- The improved stability analysis provides more accurate and less conservative results for uncertain linear time-delay systems.
- The comparative study offers valuable insights for selecting appropriate analysis methods.
- Numerical examples validate the effectiveness and applicability of the proposed approach.
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