Credits: 3


Prerequisite: ENEE322; and completion of lower-division technical courses in the EE curriculum.
Restriction: Must be in one of the following programs (Engineering: Electrical; Engineering: Computer).
Introduction to techniques for the analysis and design of linear control systems and implementation of control systems using digital technology. Topics include linearization, solution of linear equations, z-transforms and Laplace transforms, design of linear controllers, optimal control, and digital implementation of control designs. Students will use MATLAB for the solution of problems and the design of control systems.

Semesters Offered

Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024

Learning Objectives

  • Understand dynamic models for systems and linearization
  • Understand sampling and discretization of control systems models
  • Analyze and solve linear control systems models, variation of constants formula, Laplace and z-transform methods
  • Understand stability and stabilization of linear systems
  • State space analysis, controllability, observability
  • Understand pole assignment as a design method
  • Understand observers for linear systems
  • Understand LQR as a design method
  • Understand the Kalman Filter as a least squares estimator

Topics Covered

  • Systems models and linearization
  • Solution of state equations using variation of constants and Laplace and z-transforms
  • Controllability, observability, stability of linear systems
  • Pole assignment, stabilization, observers full and reduced order
  • LQR design
  • Kalman filter