System Identification and Adaptive Control

  • Electrical & Control Engineering |

Description

Statistical and optimization fundamentals. Impulse response identification. Parameter estimation. Frequency response estimation. Experimental methods. Correlation technique. Regression technique. Quasi-linearization method. Adaptive systems. Model reference adaptive systems. Self tuning regulators. Robust adaptive control.

Program

M.Sc. in Electrical and Control Engineering

Objectives

  • The student should be able to: Apply different methods of systems identification to control systems. Learn what adaptive control is, and how it can be applied.

Textbook

Data will be available soon!

Course Content

content serial Description
1Statistical & Optimize Action.
2Response Identification.
3Parameter Estimation.
4Frequency Response Estimation.
5Correlation technique.
6Regression technique.
7Quazi linearization method.
8Least square method.
9Kalman filter.
10Introduction to adaptive systems.
11Model reference adaptive systems.
12Self tuning regulator.
13Solution of the dyfontayn equation.
14Robustness adaptive control.
15Application of adaptive control on practical system.
16Final Exam.

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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