Lecture
Stability Examples: Routh-Hurwitz Criterion
In course
DEMO: Lorem ullamco sunt
Occaecat incididunt aliqua nulla laboris nisi id nostrud irure tempor occaecat exercitation veniam voluptate. Qui velit est ut enim sint cupidatat eu. Culpa ad nulla labore fugiat laboris est enim. Anim non sunt aliquip deserunt labore dolore laborum occaecat esse cillum ut nisi aute et. Anim Lorem aute ad elit aute magna mollit minim eu. Nulla laborum ad eiusmod irure duis officia laborum tempor tempor mollit sunt nostrud enim. Qui duis aliquip consectetur proident nostrud occaecat et Lorem dolore.
Description
This lecture presents examples of closed-loop systems to illustrate how the proportional gain affects stability. It introduces the Routh-Hurwitz criterion as an analytical technique to determine stability without explicitly calculating roots. Through various examples, the instructor demonstrates the application of the criterion and necessary conditions for stability, showcasing how different values of the gain impact the system's stability. The lecture concludes with a discussion on approximating exponential terms and determining system stability based on specific conditions.
Instructor
excepteur ea consequat nulla
Aliqua Lorem nostrud do culpa nostrud voluptate id mollit eu. Velit laboris cupidatat id irure deserunt esse consectetur consequat cillum consectetur cillum sint. Dolor aliquip exercitation adipisicing commodo aliquip incididunt. Exercitation eu officia velit est Lorem in consequat anim dolore officia est proident minim. Dolor id officia dolor amet in ullamco voluptate eiusmod.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Ontological neighbourhood
Related lectures (45)
Course Organization and Dynamics of Systems Control
Covers course organization, system control, dynamics, artificial intelligence, water cycles, and sea currents.
Nyquist Stability Criteria
Explains Nyquist stability criteria and loop shaping for system performance and robustness.
State-Space Representation: Controllability and Observability
Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.
Networked Control Systems
Explores Networked Control Systems, addressing packet dropouts, network delays, stability, and control laws for system boundability.
PID Controllers: Theory and Implementation
Explores the theory and implementation of PID controllers, including tuning methods and practical considerations in industrial settings.