Control systemsLesson 1 of 3 in the course Stability analysis
Routh–Hurwitz Stability: Root Counts, Array Construction, and Special Cases
5 flashcards · 5 quiz questions · 5 match pairs · 5 fill-in sentences · English
Lesson progress
0 / 5
Your progress is kept in this browser only.Sign up to save it
Summary
This lesson introduces the stability question that the Routh–Hurwitz criterion answers and explains the connection between system behavior and polynomial roots.
A linear time-invariant (LTI) system is commonly analyzed through its characteristic polynomial. Its roots, also called poles in control applications, determine the time-dependent modes of the system. A root contributes a solution term proportional to .
All flashcards
Quiz questions
Based on the Wikipedia article Routh–Hurwitz stability criterion, licensed CC BY-SA 4.0. Adapted into a summary, flashcards and quizzes.
More in Control systems
All Control systems lessonsControl systemsControl Systems: Feedback, Models, Stability, and Design Methods5 flashcards · 5 quiz questions · 4 gamesPlay free →Control systemsControl-System Components, Feedback, and Control Approaches5 flashcards · 5 quiz questions · 4 gamesPlay free →Control systemsLinear–Quadratic Regulation: Riccati Methods, Horizons, and MPC5 flashcards · 5 quiz questions · 4 gamesPlay free →Control systemsBlock Diagrams for System Functions and Process Design5 flashcards · 5 quiz questions · 4 gamesPlay free →Control systemsPID Control: Actions, Tuning, Stability, and Practical Implementation5 flashcards · 5 quiz questions · 4 gamesPlay free →Control systemsNyquist Stability: Argument Principle, Encirclements, and Practical Application5 flashcards · 5 quiz questions · 4 gamesPlay free →