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Related Concept Videos

Second Order systems II01:18

Second Order systems II

392
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
392
First Order Systems01:21

First Order Systems

409
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
409
Second Order systems I01:20

Second Order systems I

579
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
579
Classification of Systems-I01:26

Classification of Systems-I

554
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
554
Classification of Systems-II01:31

Classification of Systems-II

461
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,
461
Mechanical Systems01:22

Mechanical Systems

601
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
601

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Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
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Acute cerebral vasculopathy in systemic sclerosis.

Benoit Faucher1, Brigitte Granel, Francois Nicoli

  • 1Aix-Marseille Université, Marseille, France, benoit.faucher@ap-hm.fr.

Rheumatology International
|December 25, 2012
PubMed
Summary

Systemic sclerosis can cause acute cerebral vasculopathy, often as an early disease sign. This condition may involve vasospasm and inflammation, requiring increased awareness due to its severity.

Area of Science:

  • Neurology
  • Rheumatology
  • Immunology

Background:

  • Systemic sclerosis is an autoimmune disease known for fibrosis and microvasculopathy.
  • Cerebral involvement in systemic sclerosis is underrecognized despite suggestive evidence.
  • Acute cerebral vasculopathy is not a recognized manifestation of systemic sclerosis.

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