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A Comparison of Fuzzy and CPWL Approximations in the Continuous-time Nonlinear Model-predictive Control of Time-delayed Wiener-type Systems

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Abstract

This paper deals with a novel method of continuous-time model-predictive control for nonlinear time-delayed systems. The problems relating to time delays are solved by incorporating the Smith-predictor scheme in a control-law derivation. A nonlinear-mapping approximation, employing either continuous piece-wise linear functions or a fuzzy system, is also an integral part of the control scheme, and thus removes the need for output-function invertibility. An illustrative experiment is conducted to compare the control quality in both approaches when tackling a time-delayed Wiener-type system control.

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Authors and Affiliations

  1. Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, 1001, Ljubljana, Slovenia

    Simon Oblak & Igor Škrjanc

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  1. Simon Oblak
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  2. Igor Škrjanc
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Correspondence to Simon Oblak.

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Oblak, S., Škrjanc, I. A Comparison of Fuzzy and CPWL Approximations in the Continuous-time Nonlinear Model-predictive Control of Time-delayed Wiener-type Systems. J Intell Robot Syst 47, 125–137 (2006). https://doi.org/10.1007/s10846-006-9075-z

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  • DOI: https://doi.org/10.1007/s10846-006-9075-z

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