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Updated: Jun 29, 2026
11:53
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
Tools for intelligent control: fuzzy controllers, neural networks and genetic algorithms
1Autonomous Control Engineering Center and Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM 87131, USA.
Summary
This paper introduces soft computing elements like fuzzy logic, neural networks, and genetic algorithms for intelligent control applications. It provides a foundational understanding for new readers, highlighting key contributions and references.
Area of Science:
- Computer Science, Artificial Intelligence, Control Systems Engineering
Background:
- Soft computing offers robust solutions for complex problems where traditional methods fall short.
- Intelligent control systems benefit significantly from the adaptive and learning capabilities of soft computing techniques.
Purpose of the Study:
- To present fundamental concepts of soft computing, including fuzzy logic, neural networks, genetic algorithms, and genetic programming.
- To explore current applications of these soft computing elements within the field of intelligent control.
- To serve as an introductory resource for novice readers interested in soft computing and intelligent control.
Main Methods:
- Expository review of core soft computing methodologies.
- Documentation of fuzzy sets, fuzzy logic, and their established applications in control systems.
- Introduction to neural networks and genetic algorithms for a novice audience.
Main Results:
- Provides a foundational overview of key soft computing techniques.
- Illustrates the practical implementation of fuzzy logic in control systems.
- Introduces neural networks and genetic algorithms with relevant references.
Conclusions:
- Soft computing elements are crucial for advancing intelligent control systems.
- This paper serves as a valuable starting point for understanding and applying soft computing.
- Further exploration of cited references is encouraged for deeper insights into specific techniques and applications.
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