Adaptive tracking control for stochastic nonlinear systems with unknown virtual control coefficients | IEEE Conference Publication | IEEE Xplore

Adaptive tracking control for stochastic nonlinear systems with unknown virtual control coefficients


Abstract:

This paper proposes an adaptive tracking controller for stochastic nonlinear systems with unknown virtual control coefficients (UVCCs). Without using the Nussbaum gain te...Show More

Abstract:

This paper proposes an adaptive tracking controller for stochastic nonlinear systems with unknown virtual control coefficients (UVCCs). Without using the Nussbaum gain technique (NGT), the controller is designed by employing an inequality, which requires much less complex computations. Novel adaptive controllers are constructed to compensate parameter uncertainties and UVCCs. To validate the effectiveness and superiority of the presented control method, a numerical simulation example and a practical example are given in the end of the paper.
Date of Conference: 15-17 August 2022
Date Added to IEEE Xplore: 14 February 2023
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Conference Location: Hefei, China

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1 INTRODUCTION

Over the past decades, there have been loads of researchers studying the stochastic disturbances, which may induce instability of control systems. In combination with fuzzy logics or neural networks, numerous research outcomes have been published [1], [2], [3]. However, in this way, huge amount of computations are required. In addition, the virtual control coefficients (VCCs) in the above papers are assumed to be known.

References

References is not available for this document.