MATLAB® Fuzzy Logic Toolbox

In the input layer and hidden layer of algorithm, fuzzy inference system (FIS) takes place. To set up the fuzzy inference system, MATLAB Fuzzy Logic Toolbox is used. As shown in Fig. 3.21, three types of fuzzy inference systems are developed, namely (1) left, (2) front, and (3) right obstacle avoidance fuzzy inference systems. 

ABSTRACT In this publication the authors presented a proposal to use fuzzy expert systems in crew escape onboard pilot decision making systems. The subject of research is to ensure the ability of those systems to adapt to changing environmental conditions and, in consequence, their reliable operation (support and ensure pilots safety. The authors use fuzzy logic to present advanced work in this field. The development of fuzzy expert aircraft onboard pilot decision making system assistant projects used by a pilot in emergency situations is referred to in the study. One of the projects was presented in the publication. It has been developed on the basis of Matlab Fuzzy Logic Toolbox and Simulink software. Complexity of the problem cause imposed restrictions. This publication is an integral part of the author s scientific researches. 

MATLAB (1QQ5) Fuzzy Logic Toolbox, User s Guide, Version 2,4th edn. The Mathworks. 

For advanced techniques in modeling, identification, and control, MATLAB has a variety of additional toolboxes that are licensed individually. Relevant toolboxes for process control include control system, fuzzy logic, system identification, model predictive control, neural networks, optimization, partial differential equations, robust control, and statistics. 

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