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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.
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The time response of a linear time-invariant (LTI) system can be divided into transient and steady-state responses. The transient response represents the system's initial reaction to a change in input and diminishes to zero over time. In contrast, the steady-state response is the behavior that persists after the transient effects have faded.
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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.
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Stability of Equilibrium Configuration01:23

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Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
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Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
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Related Experiment Video

Updated: May 27, 2025

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
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A novel chaotic system with one absolute term: stability, ultimate boundedness, and image encryption.

Ali A Shukur1, Ammar Ali Neamah1, Viet-Thanh Pham2

  • 1Faculty of Computer Sciences and Mathematics, University of Kufa, Iraq.

Heliyon
|February 17, 2025
PubMed
Summary

A novel chaotic system with nested attractors is introduced for secure applications. When combined with a Toeplitz matrix, it creates a robust encryption algorithm highly resistant to attacks.

Keywords:
37M0537N3565P20Chaotic systemImage encryptionSecurityToeplitz matrixUltimate bounds

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Area of Science:

  • * Applied Mathematics
  • * Cryptography
  • * Chaos Theory

Background:

  • * Chaotic systems offer potential for secure data encryption.
  • * Existing encryption methods face evolving security challenges.
  • * The need for robust, computationally efficient algorithms is critical.

Purpose of the Study:

  • * To propose a new chaotic system with unique attractor properties.
  • * To develop a secure image encryption algorithm using this system and a Toeplitz matrix.
  • * To evaluate the algorithm's security and performance against existing methods.

Main Methods:

  • * Analysis of system dynamics using bifurcation diagrams and Lyapunov exponents.
  • * Integration of the chaotic system with a Toeplitz matrix for encryption.
  • * Comprehensive security analysis, including resistance to differential and statistical attacks.
  • * Performance evaluation through comparative assessment.

Main Results:

  • * The proposed system exhibits a countable finite number of coexisting nested attractors.
  • * The combined encryption algorithm demonstrates enhanced pixel distribution randomness.
  • * The algorithm proved impervious to various cryptanalytic attacks.
  • * Superior performance compared to previously reported encryption techniques.

Conclusions:

  • * The developed chaotic system and encryption algorithm provide a highly secure solution.
  • * The approach offers improved randomness and robustness for image encryption.
  • * This method presents a significant advancement in secure communication systems.