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College of Engineering & Technology  Alexandria
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Stochastic Models Estimation and Control

  • Electrical & Control Engineering |

Description

This course covers a number of topics related to stochastic models estimation and control. These topics involve deterministic versus stochastic models; probability theory and static models; stochastic processes and linear dynamic models; optimum filtering with linear system models; design and performance analysis of kalman filters.

Program

PhD in Electrical & Control Engineering

Objectives

  • This course aims to develop a thorough understanding of main basis incorporated in stochastic processes, estimation and control. Main concern is how to apply the theory to realistic practical problems.

Textbook

Peter S. Maybeck, “Stochastic Models, Estimation and Control: Volume 1", 2012  Karl Johan Astrom, Bjorn Wittenmark “Adaptive Control: Second Edition", 1995  M. G. Singh, A. Titli,, “Systems : decomposition, optimisation, and control ”, 1978

Course Content

content serial Description

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.
Courses
  • Degree Doctorate
  • Code: EEE8106
  • Credit hrs: 3
  • Prequisites: none
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