Sentence examples for multivariable fuzzy systems from inspiring English sources

Furthermore, a new optimal observer for multivariable fuzzy systems is developed, because not all states of the nonlinear system are fully available or measured.

This work presents stable composite control criteria for multivariable Takagi Sugeno (T S) fuzzy systems.

This article investigates improved control of these heat pumps through the design and evaluation of a new multivariable fuzzy logic control system utilising a variable speed compressor drive with capacity control linked through to evaporator superheat control.

This paper presents a systematic design procedure of a multivariable fuzzy controller for a general Multi-Input Multi-Output (MIMO) nonlinear system with an input output monotonic relationship or a piecewise monotonic relationship for each input output pair.

Commercial applications of fuzzy logic began to appear in the early 1980s, particularly in Japan, which soon became the centre of academic and industrial research on fuzzy systems.

Direct and inverse multivariable fuzzy models can be identified directly from data using fuzzy clustering.

The proposed multivariable fuzzy controller is constructed with two orthogonal fuzzy control engines.

When fuzzy systems are designed by using fuzzy clustering, each cluster corresponds to a fuzzy rule.

Type 2 fuzzy systems could solve this problem.

In recent years, Takagi-Sugeno (T-S) fuzzy systems have efficiently interpolated several local linear systems via fuzzy bases to approximate a nonlinear system [ 33, 34].

In this study, the symbol GFS(n 1 n 2 …n k )(Genetic Fuzzy System) and training result OFS(n 1 n 2 …n k ) (Optimized Fuzzy System) are used to illustrate the structure of fuzzy systems.