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Advanced Control

Course ID
MECT211
Level
Postgraduate
Credit Hours
CH:1.6

• Be able to express mathematically linear relationships in control
• theory.
• Be able to describe mathematically SISO (Single Input – Single Output)
• systems using multivariable external description.
• Be able to distinguish a multivariate SISO description from that of a
• generic MIMO system.
• Be able to calculate the response of a 2nd order MIMO system using
• Laplace transform and exponential matrix.
• Be able to analyze the characteristics of multivariable dynamic
• systems from their mathematical description.
• Be able to understand the controllability and observability of MIMO
• (Multi Input – Multi Output) systems.
• Be able to model a problem of control / estimation in a multivariable
• linear model.
• Be able to design the control algorithm of a mechatronic system
• modeled as a multivariable system.
• Be able to acquire the methods to determine the best way to obtain a
• model based on a state model for linear systems control.

1. Static Optimization.
• Calculus of variations.
• Lyapunov Stability Analysis.
2. Optimal Control:
• LQR (Continuous and Discrete)
• LQG
• H2
• H∞
3. Adaptive Control:
• System Identification
• Feed-forward control systems