Overview
Discover the intriguing world of Intelligent Control in this comprehensive course. Learn how natural intelligent phenomena, such as human brain processes or ant colony tasks, can be simulated by computer programs to improve control processes. The course highlights the difference between intelligent control and traditional control theories, emphasizing the absence of the need for mathematical models, making it suitable for complex systems.
Explore major topics including:
- Expert Control: Develop intelligent systems that emulate human experts, applying AI and computing to solve complex challenges.
- Fuzzy Control: Implement fuzzy set theory to manage systems intelligently, using natural language instead of precise parameter descriptions.
- Artificial Neural Network Control: Utilize neural network technology to process information by mimicking the human brain's neural network, optimizing decision-making through experience-based learning.
- Genetic Algorithm: Simulate the process of evolution to find optimal solutions to problems, crafting a simulation of biological evolutionary processes.
This course includes detailed explanations enhanced by case analyses, theoretical-practical links, and MATLAB programming tutorials catered for beginners, establishing a solid foundation for future research and work in automatic control theory. Perfect for enthusiasts of Control Systems, MATLAB, Fuzzy Logic, and Genetic Algorithms.
Provided by XuetangX, this course is categorized under Control Systems Courses, MATLAB Courses, Fuzzy Logic Courses, and Genetic Algorithms Courses.
