Explorer
Build intuition that transfers
Applications, sandboxes, and lighter checks around the same conceptual spine.
A visual, reactive university course
Learn control by predicting, seeing, and doing.
Short visual explanations lead directly into reactive experiments and guided exercises. The mathematics stays rigorous; the learning loop stays active.
Closed-loop altitude hold
Disturb. Measure. Correct.
simulation
One canonical course
Change the route, not the fundamentals.
Unofficial TUM ACE exam prep
Match notation and exam demands
The shared core plus Lohmann notation, ACE sequencing, and original exam-style work.
Independent depth dial
Show derivations in either mode
Proofs and extended derivations appear exactly where they support the main lesson.
Complete curriculum
Ten modules, each built from short lessons
5 core pilot lessons are ready.7 lessons are ready, including two exam problem classes.
- 01
What control is
Feedback, feedforward, disturbances, loop structure, and the central idea of correcting error.
5 lessons · 1 core pilot live - 02
Modeling dynamic systems
From physical laws to ODEs, state variables, transfer elements, and useful linear models.
6 lessons · 3 core pilot live · 1 exam workshop - 03
Laplace and transfer functions
Use the Laplace transform to expose dynamics, combine blocks, and solve input–output problems.
5 lessons · planned - 04
Response and stability
Time response, system type, steady-state error, stability, dominant poles, and model reduction.
6 lessons · planned - 05
Frequency-domain analysis
Bode plots, Nyquist, margins, sensitivity functions, and practical robustness limitations.
6 lessons · planned - 06
Classical controller design
Close the loop with P, PI, PD, and PID control, then shape behavior systematically.
6 lessons · 1 core pilot live · 1 exam workshop - 07
Practical control structures
Structures used in real systems: cascade, two degrees of freedom, feedforward, and anti-windup.
5 lessons · planned - 08
State-space design
Analyze and design multivariable dynamics using controllability, observability, feedback, and observers.
6 lessons · planned - 09
Digital control
Sampling, zero-order hold, z-domain models, discrete stability, and implementation on a computer.
6 lessons · planned - 10
Where control goes next
A bridge to optimal, predictive, stochastic, nonlinear, and learning-based control.
5 lessons · planned
Your progress
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