Balanced Reduced-Order Models for Iterative Nonlinear Control of Large-Scale Systems

نویسندگان

چکیده

We propose a new framework to design controllers for high-dimensional nonlinear systems. The control is designed through the iterative linear quadratic regulator (ILQR), an algorithm that computes by iteratively applying on local linearization of system at each time step. Since ILQR computationally expensive, we first construct reduced-order models (ROMs) system. derive ROMs via projection, where basis computed balanced truncation (BT) and LQG (LQG-BT). Numerical experiments are performed semi-discretized Burgers equation. find produces good constructed either BT or LQG-BT, with BT-ROM based outperforming LQG-BT slightly very low-dimensional

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ژورنال

عنوان ژورنال: IEEE Control Systems Letters

سال: 2021

ISSN: ['2475-1456']

DOI: https://doi.org/10.1109/lcsys.2020.3042835