ADVANCED COMPUTER CONTROL OF MACHINES AND PROCESSES
Digital control theory, design methodology, and techniques for controller implementation on digital computers. Advanced single and multi-axis motion generation algorithms. Multiple processor control systems. Multiple objective control systems for machinery guidance and manufacturing processes. Precision control. Knowledge of continuous and discrete time control [such as M E 447 or E C E 332 ] is required.
Prerequisites & course information
Requisites: Graduate/professional standing. Not open to students with credit for M E 747 . Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2025 Learning Outcomes: 1. Explain and apply physics-based discrete time system modeling Audience: Graduate 2. Analyze and design in both the continuous and discrete domains Audience: Graduate 3. Analyze and design control systems using tools such as Matlab and Simulink Audience: Graduate 4. Describe physics-based control structures for computer control systems Audience: Graduate Learning Outcomes: 1. Explain and apply physics-based discrete time system modeling Audience: Graduate 2. Analyze and design in both the continuous and discrete domains Audience: Graduate 3. Analyze and design control systems using tools such as Matlab and Simulink Audience: Graduate 4. Describe physics-based control structures for computer control systems Audience: Graduate
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- ADVANCED COMPUTER CONTROL OF MACHINES AND PROCESSES · 3 credits.