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Transfer Function to State Space01:23

Transfer Function to State Space

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State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an RLC...
775
State Space to Transfer Function01:21

State Space to Transfer Function

567
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
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Transfer function and Bode Plots-II01:23

Transfer function and Bode Plots-II

732
In the standard form, the transfer function is shown in constant gain, poles/zeros at origin, simple poles/zeros, and quadratic poles/zeros; each contributing uniquely to the system's overall response. The term represents the magnitude of the simple zero:
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Biological Effects of Radiation02:59

Biological Effects of Radiation

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All radioactive nuclides emit high-energy particles or electromagnetic waves. When this radiation encounters living cells, it can cause heating, break chemical bonds, or ionize molecules. The most serious biological damage results when these radioactive emissions fragment or ionize molecules. For example, α and β particles emitted from nuclear decay reactions possess much higher energies than ordinary chemical bond energies. When these particles strike and penetrate matter, they...
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Transfer Function in Control Systems01:21

Transfer Function in Control Systems

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The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
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Transfer function and Bode Plots-I01:19

Transfer function and Bode Plots-I

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A transfer function presented in its standard form integrates elements' constant gain, the zeros, and poles at the origin, simple zeros and poles, and quadratic poles and zeros. The transfer function can be written as H(ω):
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Related Experiment Video

Updated: Jan 25, 2026

PARbars: Cheap, Easy to Build Ceptometers for Continuous Measurement of Light Interception in Plant Canopies
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PARbars: Cheap, Easy to Build Ceptometers for Continuous Measurement of Light Interception in Plant Canopies

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Radiative transfer modelling reveals why canopy reflectance follows function.

Teja Kattenborn1, Sebastian Schmidtlein2

  • 1Institute of Geography and Geoecology (IFGG), Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131, Karlsruhe, Germany. teja.kattenborn@kit.edu.

Scientific Reports
|April 27, 2019
PubMed
Summary

Optical remote sensing can track plant diversity by linking canopy reflectance to plant traits. This study shows plant functions are directly expressed in reflectance, enabling better monitoring of Earth's plant functional diversity.

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Area of Science:

  • Ecology
  • Remote Sensing
  • Plant Biology

Background:

  • Optical remote sensing offers insights into plant functional diversity.
  • Causal links between plant functioning and canopy reflectance are not well understood.
  • Radiative transfer models like PROSAIL use plant traits to explain canopy reflectance variations.

Purpose of the Study:

  • To establish causal links between canopy reflectance and plant functioning.
  • To investigate the relationship between plant functional schemes (Leaf Economic Spectrum and CSR strategies) and reflectance-relevant traits.
  • To determine if plant functions are directly expressed in canopy reflectance.

Main Methods:

  • Utilized the PROSAIL radiative transfer model.
  • Assessed correlations between plant functional schemes (LES and CSR) and optically relevant plant traits.
  • Compared trait correspondences to functional schemes with original trait allocations.

Main Results:

  • Leaf traits correlated with the Leaf Economic Spectrum (LES).
  • Canopy structure traits correlated with CSR strategies, not LES.
  • CSR strategies showed strong correlations with multiple optically relevant traits, sometimes exceeding original trait allocations.
  • Plant functions and strategies are directly expressed in reflectance ('reflectance follows function').

Conclusions:

  • Plant functional strategies are directly detectable through canopy reflectance.
  • Optical remote sensing, particularly through radiative transfer models, can effectively monitor Earth's plant functional diversity.
  • This research bridges the gap between plant traits, functional strategies, and optical remote sensing signals.