College of Engineering

College of Engineering

MCE Courses

MCE 640 - System Modeling, Identification and Simulation
Identification and Simulation. Model development, off-line and on-line identification methods for engineering systems, diagnostic tests and model validation and analog and digital simulation methods. Read More
MCE 642 - Advanced Control Systems
Study of advances in classical and modern control systems. Optimization, estimation and Eigenstructure control. Read More
MCE 643 - Advanced Measurement Methods
Instrumentation systems used in detection and signal condition- ing of thermal-hydraulic process variables, radiation in- cluding lasers, and electrical and mechanical properties of materials. Read More
MCE 644 - Measurements and Controls Laboratory
Work with measuring systems for a variety of process variables. Investigation of characteristics of various process control components and systems. Transient and stationary conditions will be included. Read More
MCE 645 - Advanced Control Theory
Topics selected from nonlinear, adaptive, robust, stochastic, intelligent, or process control theory, depending upon the interests of students and faculty. Read More
MCE 646 - Intelligent Control Systems
Analysis and design of systems using intelligent techniques such as neural networks, fuzzy logic, genetic algorithms, and artificial intelligence. Read More
MCE 647 - Nonlinear Control Systems
Phase plane analysis. Lyapunov stability. Describing functions. Singular perturbation and feedback linearization. Read More
MCE 649 - Robotics and Automation
Robotic manipulator kinematics, dynamics, trajectory planning, sensors, programming and control. The application concepts of robotics in industry will be briefly introduced. Read More
MCE 653 - Optimal Control Systems
Performance index. Calculus of variations, Pontryagin maximum principle. Linear quadratic regulator. Time and fuel optimal control. Linear quadratic Gaussian problem. Kalman Filter. H optimal control. Industrial applica- tions. Read More
MCE 654 - Adaptive Control Systems
Real-time parameter estimation. Deterministic, stochastic, and predictive self-tuning regulators. Model reference adaptive systems. Auto tuning. Stochastic adaptive control. Properties of adaptive systems. Read More
MCE 656 - Robust Control Systems.
Analysis and design of robust controllers using methods for robustness investigation such as mu-analysis and H- infinity control algorithms. Read More
Last modified: 12/20/2007, 11:24 by Administrator