• No results found

Water Level Monitoring and Control Using Fuzzy Logic System

N/A
N/A
Protected

Academic year: 2020

Share "Water Level Monitoring and Control Using Fuzzy Logic System"

Copied!
14
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1: A Fuzzy Logic System.
Figure 4: Mamdani Type Fuzzy Controller
Table II: Crisp Range Table for level
Figure7: Triangular Membership Function Output
+2

References

Related documents

FABRE Jean Michel 34295 Montpellier Cedex 5 Hôpital st éloi 2 av bertin Sans PU2. NAVARRO Francis 34295 Montpellier Cedex 5 Hôpital st éloi 2 av bertin

cerevisiae : The functional similarity of Rag4 and Snf3/Rgt2 was suggested by the impairment of transcription of glucose permease genes in the corre- sponding mutants: RAG1

Insufficient water was applied at each irrigation to refill the potato root zone, until a major irrigation about 112 days after planting note the dip in both the shallow and

IndexTerms — Orthogonal frequency division multiplexing peak-to-average power ratio, tone injection (TI), peak interference-to-carrier ratio, power

As a solution to this issue a portable, low cost, simple Air pollutant gas detection unit has been designed and developed which is capable to detect the poisonous gases like

The sum of symmetric three-point 1-dependent nonidentically distributed random variables is approximated by a compound Poisson distribution.. The accuracy of approximation is

Given that organizational culture and climate were measured reliably and validly using the OSC, a primary Table 5 Sample field note content stratified by “ best, ” “ average, ”

This study, therefore, investigated whether adult SCA patients in steady state (SS), in vaso-occlusive crisis (VOC) have significantly different mean levels of tHct, MMA, V it B12,