New Methodology for Structure Identification of Fuzzy Controllers in Real Time
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
On Realization of Fault-Tolerant Fuzzy Controllers
IOLTW '00 Proceedings of the 6th IEEE International On-Line Testing Workshop (IOLTW)
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Applied Soft Computing
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A comparative study of adaptive fuzzy control schemes for induction motor drives
ACMOS'05 Proceedings of the 7th WSEAS international conference on Automatic control, modeling and simulation
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MMACTEE'06 Proceedings of the 8th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
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Advances in nonlinear control theory have provided the mathematical foundations necessary to establish conditions for stability of several types of adaptive fuzzy controllers. However, very few, if any, of these techniques have been compared to conventional adaptive or nonadaptive nonlinear controllers or tested beyond simulation; therefore, many of them remain as purely theoretical developments whose practical value is difficult to ascertain. In this paper we develop three case studies where we perform a comparative analysis between the adaptive fuzzy techniques in Spooner and Passino (1995,1996) and some conventional adaptive and nonadaptive nonlinear control techniques. In each case, the analysis is performed both in simulation and in implementation, in order to show practical examples of how the performance of these controllers compares to conventional controllers in real systems