Official government website of the Government of the Kingdom of Saudi Arabia How to verify

Links to official Saudi educational websites end with edu.sa

All links to official educational websites of government agencies in Saudi Arabia end with .edu.sa.

protocol for encryption and security. HTTPS for encryption and security.

Secure websites in the Kingdom of Saudi Arabia use the HTTPS protocol for encryption.

Registered with the Digital Government Authority with no: 20250413538

Colleges

Section list

Intelligent Control Systems

Course Description: Fundamentals of control theory (e.g., robust, nonlinear, stability), introduction to intelligent control techniques and their bio-inspired foundations, fuzzy logic control, fuzzy and expert control, artificial neural networks, neuro-fuzzy systems, use of genetic algorithms in intelligent control system optimization, applications to mechanical and electromechanical systems.

Credit hours: 3

Objectives of the course :

Gain an understanding of the functional process of a variety of intelligent control technologies and their biological underpinnings.
– Study of theoretical foundations of control (e.g., robustness, stability, …).
- Use of computers for simulation and evaluation.
Gain practical “applied” knowledge of key smart control techniques and an introduction to some promising research trends.
- Use of computers for simulation and evaluation.

Course outputs :

1. Understanding the concepts of stability, linearity, and robustness.
2. Explanation of the main components of fuzzy control systems, such as: fuzzification, rule inference, and defuzzification.
3. Identifying the principles of neural networks and their applications in automatic control.
4. Classification of principles of biotechnological research techniques.
5. Practicing artificial intelligence systems and their appropriate applications.
6. Application of Fuzzy Logic Controllers (FLC).
7. Using neural systems for control and pattern recognition.
8. Application of Neural Network for Tuning Fuzzy Logic Controller (FLC) Parameters.
9. Using evolutionary algorithms to optimize fuzzy logic controllers (FLCs) and neural networks.
10. Designing a Mechanical System Using Artificial Intelligence.
11. Integration of a Fuzzy Logic Controller (FLC) and a Neural Network during Mechanical System Design.
12. Deliver collaborative work, exhibit a high degree of autonomy, and possess strong time management skills.

Additional information:

Last updated: 2026-05-17