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Article . Other literature type . Conference object . 2021 . 2020 . 2022 . Peer-reviewed
License: Elsevier TDM
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prescribed performance tracking using state quantization for uncertain feedback linearizable systems

Authors: George A. Rovithakis; Lampros N. Bikas;

prescribed performance tracking using state quantization for uncertain feedback linearizable systems

Abstract

This paper addresses the problem of imposing pre-defined performance characteristics (by means of maximum steady-state error and minimum convergence rate) on the output tracking errors for a class of uncertain multi-input multi-output (MIMO) nonlinear system in the presence of state quantization implemented by uniform-hysteretic quantizers. A low-complexity control design that requires reduced system knowledge and utilizes only quantized measurements of the state is proposed. The desired performance is achieved by assuming knowledge of the step-size of the quantizers involved. Simulation results verify the theoretical findings.

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