Vector-Space Optimization Framework Based on Projected Contraction Condition for Control Design with Input Saturation
Myeongseok Ryu, Kyunghwan Choi*, Sesun You
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  • International Federation of Automatic Control (IFAC), 2026 accepted [📃 Full-Text]
    • Abstract
    • Conventional feedback control design based on contraction theory typically requires matrix-valued contraction metrics, which can limit real-time applicability as the system dimension increases and make direct handling of input saturation nontrivial. To address these issues, we project the contraction condition onto the instantaneous trajectory-error direction and introduce the metric-weighted error vector as the optimization variable. This yields a lower-dimensional formulation that avoids direct optimization over the full matrix-valued metric and enables input saturation constraints to be incorporated directly. Additionally, an energy-based constraint is introduced to resolve the scale ambiguity of condition-number minimization and maintain sufficient control effort. The effectiveness of the proposed method is validated through numerical simulations using the Lorenz system.

    • Additional Comments
    • Prof. Sesun You is Assistant Professor at Incheon National University, Incheon, South Korea. His biographical information can be found at his Google Scholar profile.