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Fuzzy Logic for Intelligent Control System Using Soft Computing Applications.
Catalin Dumitrescu1, Petrica Ciotirnae2, Constantin Vizitiu2
1Department Telematics and Electronics for Transports, University "Politehnica" of Bucharest, 060042 Bucharest, Romania.
Sensors (Basel, Switzerland)
|April 30, 2021
Summary
This study introduces Fuzzy Applied Cell Control, a soft computing language for distributed intelligent control systems. It enables fuzzy components for applications like crowd simulation and mobile robot control.
Area of Science:
- Intelligent Control Systems
- Soft Computing
- Artificial Intelligence
Background:
- Distributed intelligent control relies on fuzzy sensors, fuzzy actuators, and fuzzy inference components.
- Fuzzy logic effectively handles data inaccuracies from sensors, crucial for real-world applications.
- Existing systems lack interoperability for developing distributed fuzzy intelligence.
Purpose of the Study:
- To define elements of an interoperable soft computing language, Fuzzy Applied Cell Control (FACC).
- To enable the development of distributed intelligent fuzzy components on DSP targets.
- To present applications in crowd simulation and mobile robot control.
Main Methods:
- Configuration of fuzzy cells using symbolic fusion, inference, and fuzzy-real symbolic transformation.
- Development of fuzzy components based on fuzzy meaning and fuzzy description concepts.
- Implementation of Fuzzy Logic Control (FLC) for intelligent control applications.
Main Results:
- FACC facilitates the creation of interoperable fuzzy components for distributed intelligence.
- Demonstrated applications include agent-based modeling for panic crowd simulation and fuzzy control for mobile robots.
- Fuzzy controller systems can determine pedestrian flows and optimize evacuation routes.
Conclusions:
- Fuzzy Applied Cell Control provides a framework for developing distributed intelligent systems.
- Fuzzy logic offers a robust alternative to traditional control methods, especially with sensor inaccuracies.
- Fuzzy cells offer simple configuration and high-level functions like decision-making in distributed systems.
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