Sentence examples for system with fuzzy from inspiring English sources

A linear time invariant (LTI) system with fuzzy coefficients is called as fuzzy parametric uncertain system (FPUS).

The Takagi-Sugeno (T-S) fuzzy multiple-variable integral control system with fuzzy state observer is designed for the coordinated control of multi-input-multi-output (MIMO) nonlinear boiler-turbine system whose operating points vary within a wide range.

Considering that the performance of a genetic algorithm (GA) is affected by many factors and their relationships are complex and hard to be described, a novel fuzzy-based adaptive genetic algorithm (FAGA) combined a new artificial immune system with fuzzy system theory is proposed due to the fact fuzzy theory can describe high complex problems.

Priyan et al. (2015) considered a two-echelon production-inventory system with fuzzy production rate and promotional effort-dependent demand.

Taking a decision system with fuzzy rough coefficients (e.g. [26, 27]) for instance, in order to get optimal solutions to a problem (modeled by a mathematical model with fuzzy rough coefficients), the objective functions as well as some constraints involving fuzzy rough variables should be analyzed.

After setting up the fuzzy inference system (FIS) the next step was building the system with fuzzy logic controller (FLC) with Rule Viewer block.

In order to supplement such theoretical study, this paper proves that separation principle for T S fuzzy system with switching fuzzy controller and switching fuzzy observer does hold both in the continuous- and discrete-time case, which can guarantee the stability of total fuzzy system when designing corresponding controller and observer independently.

Uncertainty propagation in complex engineering systems with fuzzy variables constitutes a significant challenge.

For structure systems with fuzzy input uncertainty as well as random one, the effects of the two kinds of uncertainties on the failure probability of the structure are studied, and an importance analysis model is established to quantitatively evaluate these effects.

Some other studies focused on repairable systems with fuzzy repair rates.

Then, from early 1990s, more and more automotive systems with fuzzy logic are subjected both to academic and industrial areas.