H∞ controller design for Nabla discrete fractional-order systems
Jin-Xi Zhang1, Yuanda Lv2, Xuefeng Zhang2
1State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China.
ISA Transactions
|February 19, 2025
Summary
This study introduces criteria for Nabla discrete fractional-order systems (FOSs) to achieve H∞ performance. It develops an H∞ state feedback controller using linear matrix inequality (LMI) methods for system stabilization and performance optimization.
Area of Science:
- Control Systems Engineering
- Fractional Calculus
- Systems Theory
Background:
- Fractional-order systems (FOSs) offer enhanced modeling capabilities over integer-order systems.
- Ensuring stability and performance (H∞) in discrete FOSs remains a challenge.
- Nabla calculus provides a framework for discrete-time fractional analysis.
Purpose of the Study:
- To establish sufficient conditions for achieving a specific H∞ performance index in Nabla discrete FOSs.
- To develop a linear matrix inequality (LMI)-based H∞ state feedback controller for these systems.
- To verify the proposed methodology through numerical simulations.
Main Methods:
- Approximation of the instability region using fan-shaped domains.
- Application of the generalized Kalman-Yakubovič-Popov lemma.
- Utilization of the projection lemma for controller design.
- Formulation of criteria using linear matrix inequalities (LMIs).
Main Results:
- Derivation of LMI-based criteria for H∞ norm boundedness of Nabla discrete FOSs.
- Design of an H∞ state feedback controller that simultaneously stabilizes the system and optimizes the H∞ performance index.
- Validation of the controller's effectiveness through two simulation examples.
Conclusions:
- The proposed LMI-based approach effectively addresses H∞ performance for Nabla discrete fractional-order systems.
- The developed controller ensures system stability and optimizes the H∞ performance index.
- The methodology is validated by accurate numerical solutions and system responses.
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