Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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Course Descriptions: Search Results

ECE 416  Digital Control

Semester:
Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 2   Lab Hours: 3
Prerequisite:
ECE 303 and ECE 313
Restrictions:
Open only to juniors or seniors in the Electrical Engineering major or Computer Engineering major.
Description:
State-space models. Analysis and design of control systems using state models. Digital control. Discrete-models of sampled-data systems. Quantization effects and sample-rate selection. System identification. Simulation of nonlinear control systems. Examples of nonlinear phenomena. State of the art of control engineering. Control laboratory.
Effective Dates:
SS05 - US13


ECE 416  Digital Control

Semester:
Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 2   Lab Hours: 3
Prerequisite:
ECE 303 and ECE 313
Restrictions:
Open to juniors or seniors in the Computer Engineering major or in the Electrical Engineering major.
Description:
State-space models. Analysis and design of control systems using state models. Digital control. Discrete-models of sampled-data systems. Quantization effects and sample-rate selection. System identification. Simulation of nonlinear control systems. Examples of nonlinear phenomena. State of the art of control engineering. Control laboratory.
Effective Dates:
FS13 - FS23


ECE 416  Digital Control

Semester:
Spring of every year
Credits:
Total Credits: 4   Lecture/Recitation/Discussion Hours: 3   Lab Hours: 3
Prerequisite:
ECE 303 and ECE 313
Restrictions:
Open to juniors or seniors in the Electrical Engineering Major or in the Computer Engineering Major.
Description:
State-space models. Analysis and design of control systems using state models. Digital control. Discrete-models of sampled-data systems. Quantization effects and sample-rate selection. System identification. Simulation of nonlinear control systems. Examples of nonlinear phenomena. State of the art of control engineering. Control laboratory.
Effective Dates:
SS24 - Open