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Multi‐Objective Robust Controller Synthesis With Integral Quadratic Constraints in Discrete‐Time

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Minimizing closed-loop performance metrics enhances controller stability and effectiveness.
The framework utilizes integral quadratic constraints to model uncertainties effectively.
Numerical examples show improved performance in satisfying robust constraints and stability.
The approach addresses limitations of existing synthesis methods, applying to more complex system structures.

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Framework minimizes closed-loop performance in discrete-time systems, indicating improved robustness and efficiency.

Schwenkel et al. (2025) studied this question.

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