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- W4386840104 abstract "The L2-gain characterizes a dynamical system's input-output properties and is used for important control methods, like H-infinity control. However, gain can be difficult to determine for nonlinear systems. Previous work designed a nonconvex optimization problem to simultaneously search for a continuous piecewise affine (CPA) storage function and an upper bound on the small-signal L2-gain of a dynamical system over a triangulated region about the origin. This work improves upon those results to establish a tighter upper-bound on a system's gain through a convex optimization problem. By reformulating the relationship between the Hamilton-Jacobi equations and gain as a linear matrix inequality (LMI) and then developing novel LMI error bounds for a triangulation, tighter gain bounds are derived and computed more efficiently. Numerical results demonstrate the less conservative upper bound on a dynamical system's gain." @default.
- W4386840104 created "2023-09-19" @default.
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- W4386840104 date "2023-09-14" @default.
- W4386840104 modified "2023-09-27" @default.
- W4386840104 title "Improved Small-Signal L2 Gain Analysis for Nonlinear Systems" @default.
- W4386840104 doi "https://doi.org/10.48550/arxiv.2309.08034" @default.
- W4386840104 hasPublicationYear "2023" @default.
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