caa a22 4500 475833864 CHVBK 20180406123848.0 cr unu---uuuuu 170329e20000501xx s 000 0 eng 10.1007/s005210070030 doi (NATIONALLICENCE)springer-10.1007/s005210070030 Implementation of an Intelligent Control System Using Fuzzy ITI [Elektronische Daten] [G. H. Shah Hamzei, D. J. Mulvaney] This paper proposes a new multi-strategy (hybrid) intelligent control technique whose concept is applicable to the control of a wide range of processes. The proposed technique uses Incremental Tree Induction (ITI) as the learning algorithm, and incorporates fuzzy logic to deal with uncertainties apparent in the process to be controlled. ITI operates solely on symbolic fuzzy knowledge, as both the input features (data obtained from the process to be controlled) and the output decisions of the intelligent controller are described by fuzzy linguistic variables. Fuzzy associative memories (FAMs) are employed to store and manage the fuzzy knowledge, and are simulated operationally by fuzzy binary decision trees which encode the input-output space. The main novelty of this approach is the automatic synthesis (both off-line and on-line) of multi-dimensional FAMs from inception, in contrast to the manual implementation of traditional FAMs. A second important advantage is the self-explanatory nature of the FAMs (and their underlying control laws) generated by this approach. The new technique is demonstrated in its application to the intelligent navigation of a mobile robot.: Springer-Verlag London Limited, 2000 Keywords: Adaptive fuzzy associative memories nationallicence Decision tree fuzzy controller nationallicence Decision trees nationallicence Fuzzy ITI nationallicence Hybrid fuzzy controller nationallicence Shah Hamzei G. H. AFT Atlasfahrzeugtechnik GmbH, Werdohl, Germany, DE aut Mulvaney D. J. Department of Electronic and Electrical Engineering, Loughborough University, Loughborough, Leics, UK, GB aut https://doi.org/10.1007/s005210070030 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s005210070030 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Shah Hamzei G. H. AFT Atlasfahrzeugtechnik GmbH, Werdohl, Germany, DE aut NATIONALLICENCE 700 1- Mulvaney D. J. Department of Electronic and Electrical Engineering, Loughborough University, Loughborough, Leics, UK, GB aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer