fuzzy model-based design
Takagi-Sugeno Fuzzy Control for Nonlinear Systems
... the design and implementation of controller for nonlinear systems. The design of controllers is mainly based on fuzzy logic ...modelling. Fuzzy logic, introduced by Zadeh, has been ...
10
Applying Fuzzy Rule Based System on FMEA to Assess the Risks on Project Based Software Engineering Education
... fail design of ...to design a process that works ...the fuzzy FMEA model also has problems related to the fuzzy rule-based and membership ...traditional fuzzy FMEA ...
14
MPC Based Fuzzy Logic Controller for Non Linear Process
... as Model Predictive Control algorithm based fuzzy logic controller design for conical tank level ...process model was identified using process reaction curve ...
9
Multi-Dimensional Supervisory Fuzzy Logic Time Control DEV Processing System for Industrial Applications
... the design model of a fuzzy logic time control discrete event DEV system under the control of multi-agents based supervisory control in local and distributed environment for industrial ...
10
An Application Expert System for Evaluating Effective Factors on Trust in B2C WebsitesTrust, Security, ANFIS, Fuzzy Logic, Rule Based Systems, Electronic Commerce
... a design of websites, security of websites and familiarity of website influence customers trust in online ...commerce. Based on experts’ judgment, a frame of work was ...proposed model applies ANFIS ...
9
Effort Estimation Model for Developing Web Applications Based Fuzzy and Practical Models
... Keywords: Effort, Estimation, Design, Coding, Unit Testing, Fuzzy model.. Introduction.[r] ...
16
WSNs and on-Board Visual Fuzzy Servoing on Blimp Robot for Tracking Purposes
... control based on fuzzy logic [29]-[32]. The control strategy is based on the visual information to make the blimp complete the whole navigation performance and approaching the ...the fuzzy ...
7
DESIGN OF EFFICIENT CACHING ALGORITHMS FOR PEER TO PEER NETWORKS TO REDUCE TRAFFIC IN INTERNET
... rollover model and control strategies which is suitable for preventing the untripped rollovers that was to be caused in ...prevention based on the combination of fuzzy logic with Gaussian controller ...
7
Fuzzy Based Good Software Design
... system. Design creates a representation or model of the software, but unlike the requirements model (that focuses on describing required data, function, and behavior), the design model ...
6
Fuzzy Approximation Model-based Robust Controller Design for Speed Control of BLDC Motor
... nonlinear model of the motor is approximated by implementation of fuzzy ...the fuzzy system. Using this model and linear matrix inequality (LMI) optimization, a robust controller for purpose ...
7
Fuzzy Optimization Technique for Pareto Optimal Solution of Structural Models with Stress constraints
... structural design problem. Triangular norm based fuzzy programming technique is used to solve these ...The model is illustrated with numerical ...
11
Fuzzy Logic based Virtual Cell Design in Ultra Dense Networks
... In our article, we adopt the NCJT as the enabler technology to construct the user-centric virtual cells. However, it consumes more resources and has a limi- tation in using. For breaking this constriction, we need to ...
13
Robust Design for MEMS Sensors Based on the Fuzzy Model
... robust design method based on fuzzy model is effectively used in the design of the MEMS capacitive pressure ...of design variable is considered, but also impact of the ...
5
Development of Fuzzy Inference Scheme for LC Oscillator Design
... it. Fuzzy- Logic-Computer-Aided-Design (FLCAD) using MATLAB FUZZY TOOLBOX amalgamates the ability of Fuzzy Logic to model colloquial propositions involved in the oscillator ...type ...
8
A Comparison of Controllers for Balancing Two Wheeled Inverted Pendulum Robot
... Accurate model of systems is required to design a controllers especially if the controllers are model based controllers ...(TS) fuzzy model was used in ...
7
A New Approach to Intelligent Model Based Predictive Control Scheme
... linear model based predictive control theory has been widely used in so many applications, in the past two ...linear model approximation of a complex system could accurately be ...identified. ...
7
[14] . The T-S fuzzy model consists of
... (T-S) fuzzy model is an effective tool used to approximate the behaviors of uncertain nonlinear systems on the basis of precise ...to design T-S fuzzy model when the observations are ...
6
DEVELOPMENT OF FUZZY LOGIC MODEL FOR PREDICTING THE LIKELIHOOD OCCURRENCE AND PREVENTION OF MONKEYPOX IN SOUTH EAST NIGERIA
... likelihood of environmental related diseases based on environmental health problems was formulated using the MATLAB Fuzzy Logic Toolbox. Data collected from the local government areas were used to validate ...
23
A Scenario-Based Objective Function for an M/M/K Queuing Model with Priority (A Case Study in the Gear Box Production Factory)
... with fuzzy input parameters. As an example, an M/M/K queuing model with fuzzy input parameters was studied in ...optimized based on the degree of customer's ...MAP/G/1/N model [10] as ...
5
Power plant project risk assessment using a fuzzy-ANP and fuzzy-TOPSIS method
... Under many conditions, crisp data are inadequate for modeling real-life situations. Human judgments, including preferences, are often vague. Thus, one cannot represent preference with an exact numerical value. A more ...
14