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BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

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System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
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Control System Problem

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In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
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Classification of Systems-II01:31

Classification of Systems-II

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Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
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Boundary Layer Characteristics01:18

Boundary Layer Characteristics

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When a fluid encounters a solid surface, a boundary layer forms due to the interaction between the fluid's motion and the stationary surface. This phenomenon is characterized by a thin region adjacent to the surface where viscous forces dominate, influencing the fluid's velocity profile. The development of the boundary layer begins at the leading edge of the surface and evolves as the fluid moves downstream.As the fluid flows over the surface, friction between the fluid and the wall slows down...
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Feedback control systems01:26

Feedback control systems

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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
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Pole and System Stability01:24

Pole and System Stability

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The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
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Related Experiment Video

Updated: Mar 8, 2026

Evolution of Staircase Structures in Diffusive Convection
07:28

Evolution of Staircase Structures in Diffusive Convection

Published on: September 5, 2018

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Bistability Controlled by Convection in a Pattern-Forming System.

Nicolas Marsal1,2, Lionel Weicker1,2, Delphine Wolfersberger1,2

  • 1LMOPS, OPTEL Research Group, CentraleSupélec, Université Paris-Saclay, 57070 METZ, France.

Physical Review Letters
|January 21, 2017
PubMed
Summary
This summary is machine-generated.

We studied pattern formation in photorefractive crystals, finding that controlling bistability transitions between states is key. Adjusting mirror tilt and background illumination significantly expands this bistability area.

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Area of Science:

  • Nonlinear optics
  • Pattern formation dynamics
  • Photorefractive materials

Background:

  • Dynamical instabilities are crucial in nonlinear systems.
  • Photorefractive crystals exhibit complex pattern formation.
  • Understanding transitions between convective and absolute instabilities is important for system control.

Purpose of the Study:

  • To analyze the transition from convective to absolute dynamical instabilities in a nonlinear optical system.
  • To investigate the relationship between instabilities and bistability in photorefractive crystals.
  • To explore methods for controlling the bistability area.

Main Methods:

  • Utilizing a nonlinear optical system with a photorefractive crystal in a single feedback configuration.
  • Analyzing the coexistence of homogeneous steady states and pattern solutions.
  • Investigating the effects of mirror tilt angle and background illumination.

Main Results:

  • The convective instability regime is directly linked to the bistability area.
  • Outside the bistability domain, the system shows either a homogeneous steady state or an absolute dynamical regime.
  • The bistability area can be significantly enlarged by adjusting mirror tilt and/or background illumination.

Conclusions:

  • The study clarifies the dynamics of instabilities in pattern-forming optical systems.
  • Bistability control in photorefractive crystals is achievable through optical and geometrical adjustments.
  • Findings offer insights for manipulating complex dynamics in nonlinear optical systems.