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Adaptive model‐based event‐triggered sliding mode control
Author(s) -
Incremona Gian Paolo,
Ferrara Antonella
Publication year - 2016
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2665
Subject(s) - control theory (sociology) , sliding mode control , variable structure control , variable (mathematics) , boundary (topology) , bounded function , computer science , state variable , mode (computer interface) , adaptive control , control (management) , mathematics , artificial intelligence , nonlinear system , physics , mathematical analysis , quantum mechanics , thermodynamics , operating system
Summary This paper addresses the design of a model‐based event‐triggered sliding mode control strategy of adaptive type. The overall proposal can be regarded as a networked control scheme, because one of the design objectives is to reduce the number of transmissions of the plant state over the network used to construct the control loop. The key idea consists in using the actual plant state or the state of a suitably updated nominal model of the plant to generate the control variable, depending on the magnitude of the sliding variable. The proposed adaptive control scheme proves to be capable of steering the sliding variable to a boundary layer of the sliding manifold in finite time, in spite of the presence of bounded uncertainties with unknown bounds. When the sliding variable is confined within the boundary layer, the nominal model state is used to compute the control variable. Then, a continuous control can be analytically determined and applied, which provides a beneficial chattering alleviation effect. The proposed networked control scheme is theoretically analyzed and assessed in simulation with satisfactory results. Copyright © 2016 John Wiley & Sons, Ltd.