Aim

To provide an introduction to the design of intelligent control systems. To build upon current research and to enable students to make a contribution to practical applications.

Learning Outcomes

At the end of this module students should be able to:

• Understand the various hierarchical architectures of intelligent control systems
• Use modern computational aids for the design of control systems
• Design and evaluate system performance in the time and frequency domain
• Understand and design simple rule-based controllers
• Understand and design fuzzy logic controllers
• Understand and design artificial neural networks

Syllabus

Intelligent control, hierarchical control architectures, review of classical and modern control, digital control systems, rule based systems, fuzzy logic, neutral networks, self learning systems.

Prerequisites

Ability to use MATLAB, construct mathematical models of simple physical systems, solve first and second order differential equations, elementary matrix operations.

Part of:

This module features in the following courses:

• Mechanical Engineering: MSc
• Mechanical Engineering: PGDip
• Mechatronic Systems Engineering: MSc
• Mechatronic Systems Engineering: PGDip
• Microelectronics and System-on-Chip Engineering: MSc
• Microelectronics and System-on-Chip Engineering: PGDip