Fuzzy Neural Networks for Real Time Control Applications

Chapter 11

Case Studies

Control Examples

Abstract

In this chapter, three real-world control problems, namely anesthesia, magnetic rigid spacecraft and tractor-implement system are studied by using SMC theory-based learning algorithms for T2FNNs. For all the systems, the FEL scheme is preferred in which a conventional controller (PD, etc.) works in parallel with an intelligent structure (T1FNN, T2FNN, etc.). The proposed learning algorithms have been shown to be able to control these real-world example problems with satisfactory performance. Note that the proposed control algorithms do not need a priori knowledge of the system to be controlled.

Keywords

Anesthesia

Elliptic membership function

Tractor and implement

Bispectral index

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