System Identification and Stability

In course

Description

This lecture covers the calculation of the step response of a system, system identification from step response data, and methods for optimizing model fit. It also delves into the concept of system stability, explaining BIBO stability, the relationship between impulse response and stability, and the Routh-Hurwitz stability criterion. The instructor demonstrates how to determine system stability using the Routh table method, emphasizing the importance of understanding stability for designing controllers. The lecture concludes with a discussion on active suspensions and the challenges of stabilizing cameras on moving platforms like drones and satellites.

Instructors (2)

Official source

https://mediaspace.epfl.ch/media/0_mqlk5kct

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Related concepts (37)

A control system manages, commands, directs, or regulates the behavior of other devices or systems using control loops. It can range from a single home heating controller using a thermostat controlling a domestic boiler to large industrial control systems which are used for controlling processes or machines. The control systems are designed via control engineering process. For continuously modulated control, a feedback controller is used to automatically control a process or operation.

An industrial control system (ICS) is an electronic control system and associated instrumentation used for industrial process control. Control systems can range in size from a few modular panel-mounted controllers to large interconnected and interactive distributed control systems (DCSs) with many thousands of field connections. Control systems receive data from remote sensors measuring process variables (PVs), compare the collected data with desired setpoints (SPs), and derive command functions that are used to control a process through the final control elements (FCEs), such as control valves.

Control engineering or control systems engineering is an engineering discipline that deals with control systems, applying control theory to design equipment and systems with desired behaviors in control environments. The discipline of controls overlaps and is usually taught along with electrical engineering and mechanical engineering at many institutions around the world. The practice uses sensors and detectors to measure the output performance of the process being controlled; these measurements are used to provide corrective feedback helping to achieve the desired performance.

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Nonlinear control theory is the area of control theory which deals with systems that are nonlinear, time-variant, or both. Control theory is an interdisciplinary branch of engineering and mathematics that is concerned with the behavior of dynamical systems with inputs, and how to modify the output by changes in the input using feedback, feedforward, or signal filtering. The system to be controlled is called the "plant".