Abstract
This article investigates a systematic approach for the identification and control of Hammerstein systems over a
physical IEEE 802.11b wireless channel. Three major factors which may affect system stability and stabilisation
are concerned: wireless network-induced delays, nonlinearity and model mismatch. First the network-induced
delays are characterised by an inverse Gaussian distribution model according to IEEE 802.11b protocol and a
model-based compensation method is used to estimate the delayed samples. Then an inverse function of
nonlinear part of the identified model is used to attenuate the influence of nonlinearity, while the model mismatch
is regarded as disturbance which is then dealt with by H∞ control approach. A sufficient condition for
mean-square asymptotic stability is obtained and expressed by a set of linear matrix inequalities, enabling direct
controller design. Finally, numerical simulation examples are used to confirm the efficacy of the proposed
approach.
Original language | English |
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Pages (from-to) | 1613-1625 |
Number of pages | 13 |
Journal | International Journal of Systems Science |
Volume | 44 |
Issue number | 9 |
Early online date | 27 Feb 2012 |
DOIs | |
Publication status | Published - Sep 2013 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Theoretical Computer Science
- Computer Science Applications