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Probabilistic robust stabilization of fractional order systems with interval uncertainty
Baris Baykant Alagoz1, Celaleddin Yeroglu2, Bilal Senol2
1Department of Electrical and Electronics Engineering, Inonu University, Turkey.
Fractional order perturbation significantly impacts robust stability in uncertain linear systems. This study introduces a probabilistic method to identify optimal fractional orders for enhanced system stability and robust control.
Area of Science:
- Control Theory
- Systems Engineering
- Applied Mathematics
Background:
- Linear time-invariant systems with interval uncertainty pose challenges for robust stability analysis.
- Fractional order calculus offers new possibilities for system analysis and control.
Purpose of the Study:
- To investigate the effects of fractional order perturbation on the robust stability of uncertain linear systems.
- To develop a probabilistic method for analyzing robust stability concerning fractional order.
- To establish a robust stabilization algorithm utilizing fractional order perturbation.
Main Methods:
- Developed a probabilistic stability analysis method using characteristic root region accommodation on the first Riemann sheet.
- Calculated stability probability distribution as a function of fractional order.
- Analyzed the dependence of robust stability on fractional order perturbation via order sensitivity of characteristic polynomials.
Main Results:
- Identified specific fractional order intervals that ensure robust stability for interval uncertain systems.
- Quantified the impact of fractional order perturbation on system robust stability.
- Demonstrated the effectiveness of the probabilistic approach in developing a robust stabilization algorithm.
Conclusions:
- Fractional order perturbation is a critical factor in achieving robust stability for uncertain linear systems.
- The proposed probabilistic method provides a systematic way to determine optimal fractional orders for robust stabilization.
- The developed algorithm offers a practical solution for robust stabilization problems in interval uncertain systems.
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