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Linear High-Gain Correction Observer in Nonlinear Control

Conference paper
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Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1196)

Abstract

The development of innovation technology requires one to provide control processes with better quality indexes. In modern control theory, the algorithms for calculating linear-quadratic regulator (LQR) for linear dynamic systems are known. The classical LQR algorithms do not take into account transport delays of the signals or uncertainty of measured values and models, which causes the task of stabilizing physical systems by classical LQR algorithm to contain significant errors which decrease quality indexes. Most control systems are non-linear, not isolated from the uncertainty of measured values and models. For this reason, in the paper the possibility of calculating a linear-quadratic regulator for non-linear systems, which will provide stability in a wider environment around the reference point for additive noise based on the high-gain disturbance correction observer, are proposed.

Keywords

High-gain observer Disturbance observer Estimation Correction Nonlinear control Tracking 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical EngineeringAGH University of Science and TechnologyKrakówPoland

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