Dynamics of Controlled Systems

Study dynamics of controlled systems including mechanical, fluid power, and thermal systems using analytical, experimental, and computer techniques to obtain defining equations.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

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Recent recorded grades — Fall 2019: 3.65 GPA, 84.6% A/AB (n=13 letter grades); Fall 2020: 3.81 GPA, 100.0% A/AB (n=16 letter grades); Fall 2022: 3.77 GPA, 100.0% A/AB (n=15 letter grades).

What you’ll be able to do

  • Describe how physical state feedback affects dynamic stiffness of a control system

  • Analyze the sensitivity of the system with eigenvalue migration analysis.

  • Develop improved control systems by implementing active state feedback which mimics the physical system and augments the system performance.

  • Differentiate command tracking from disturbance rejection. The student will characterize the necessary command feedforward structure in order to achieve optimal command tracking.

  • Manipulate observer inputs and state feedback inputs in order to achieve zero-lag properties.

  • Draw the block diagram of physical systems identifying the appropriate inputs required for a properly formed observer.

  • Implement observers for state estimation in multi-variable control systems.

Source: UW Guide

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
ME 746

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Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

No instructors recorded for this selection.

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Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Fall 2019: 3.65 GPA, 84.6% A/AB (n=13 letter grades); Fall 2020: 3.81 GPA, 100.0% A/AB (n=16 letter grades); Fall 2022: 3.77 GPA, 100.0% A/AB (n=15 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Mechanical processing, fluid power, and thermal systems
  • Analytical, experimental, and computer techniques
  • Physical state feedback and dynamic stiffness
  • System sensitivity and eigenvalue migration analysis
  • Command tracking versus disturbance rejection and feedforward structures
  • Observers and state estimation in multi-variable control systems

Skills

  • Analyze control system sensitivity and dynamic stiffness using state feedback and eigenvalue migration analysis
  • Implement active state feedback and manipulate observer inputs to improve system performance and achieve zero-lag properties
  • Draw block diagrams for physical systems and implement observers for state estimation in multi-variable control systems

Grades

Latest available · Fall 2022— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2022

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "396f3f299ddedb4ea56eb45fe03e10b74a163954041f9fac3d72456fbd617ebb",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}