Embedded and Hybrid Control Systems

This course is no longer offered

(3-0-0-3)

CMPE Degree: This course is for the CMPE degree.

EE Degree: This course is for the EE degree.

Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.

Technical Interest Group(s) / Course Type(s): Systems and Controls

Course Coordinator:

Prerequisites: ECE 3084 or ECE 3085/3550

Corequisites: None.

Catalog Description

Modeling, analysis, and design of embedded and hybrid control systems.

Course Outcomes

Not Applicable

Student Outcomes

In the parentheses for each Student Outcome:
"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.

1. ( ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

2. ( ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

3. ( ) An ability to communicate effectively with a range of audiences

4. ( ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

5. ( ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

6. ( ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

7. ( ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Strategic Performance Indicators (SPIs)

Not Applicable

Course Objectives

Topical Outline

Examples of embedded control systems
* Automotive applications
* Robotics
* Manufacturing systems

Modeling
* Finite State Machines
* Hybrid Automata
* Analysis
* Control design
* Simulation issues

Design of Control Software
* Construction of sensor, actuator, and control objects
* Case studies

Verification
* Software packages for verification
* Correctness by design

Communication Issues
* Networked control systems
* Source coding of control signals

Real Time Considerations
* Concurrency
* Scheduling