Lecture

Linear Systems in Sinusoidal Regime

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In course

EE-280: Electronics

Présentation des principaux composants de base de l'électronique. Analyse de circuits à base d'amplificateurs opérationnels. Introduction aux circuits logiques élémentaires. Principe de la conversion Analogique-Numérique. Modèles simplifiés des transistors ...

Description

This lecture covers the analysis of linear systems in sinusoidal regime, focusing on frequency analysis and transfer functions. It explains how a linear system responds to sinusoidal inputs, the concept of transfer functions, stability criteria, and the method to determine the output based on input signals. The lecture also discusses quadripoles, transimpedance, transadmittance, and the construction of Bode diagrams for cascaded systems.

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Instructors (2)

Jean-Michel Sallese

Expertise

Modeling of field effect transistors (Multigate FETs, Junctionless FET, HEMT, Field Effect-based Biosensors).- Modeling substrate parasitic currents in integrated circuits.- Simulation of radiation induced soft errors in integrated circuits- High energy particle solid-state sensors. Mission The mission of the Electron Device Modeling and Technology group is to develop analytical and numerical models (physics based) of emerging semiconductor devices, with particular emphasis on field effect trans

Cédric Meinen

Teaching & PhD Courses Electrical systems and electronics I EE-295 The course has the aim to provide the fundamental knowledge and experiences to understand basic electrical systems. Electrical systems and electronics II EE-296 The basic concepts enabling to understand and analysis the electronic systems dedicated to signals acquisition and processing (e.g. biosensors, physiological signals, ECG) are addressed. This includes the acquisition, amplification and filtering. El

Official source

Ontological neighbourhood

Information engineering

Control theory and engineering: Control theory

Related concepts (27)

Nyquist stability criterion

In control theory and stability theory, the Nyquist stability criterion or Strecker–Nyquist stability criterion, independently discovered by the German electrical engineer Felix Strecker at Siemens in 1930 and the Swedish-American electrical engineer Harry Nyquist at Bell Telephone Laboratories in 1932, is a graphical technique for determining the stability of a dynamical system.

Transfer function

In engineering, a transfer function (also known as system function or network function) of a system, sub-system, or component is a mathematical function that models the system's output for each possible input. They are widely used in electronic engineering tools like circuit simulators and control systems. In some simple cases, this function can be represented as two-dimensional graph of an independent scalar input versus the dependent scalar output, called a transfer curve or characteristic curve.

Linear system

In systems theory, a linear system is a mathematical model of a system based on the use of a linear operator. Linear systems typically exhibit features and properties that are much simpler than the nonlinear case. As a mathematical abstraction or idealization, linear systems find important applications in automatic control theory, signal processing, and telecommunications. For example, the propagation medium for wireless communication systems can often be modeled by linear systems.

Bode plot

In electrical engineering and control theory, a Bode plot ˈboʊdi is a graph of the frequency response of a system. It is usually a combination of a Bode magnitude plot, expressing the magnitude (usually in decibels) of the frequency response, and a Bode phase plot, expressing the phase shift. As originally conceived by Hendrik Wade Bode in the 1930s, the plot is an asymptotic approximation of the frequency response, using straight line segments.

Closed-loop transfer function

In control theory, a closed-loop transfer function is a mathematical function describing the net result of the effects of a feedback control loop on the input signal to the plant under control. The closed-loop transfer function is measured at the output. The output signal can be calculated from the closed-loop transfer function and the input signal. Signals may be waveforms, , or other types of data streams.

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