A negative feedback will stabilize an amplifiers positive feed back will force the amplifier to either saturated state. this will hold true for a system too.
A more general answer follows.
1. Feedback: Getting information about what just happened and responding to it.
2. Negative Feedback: The response lessens the output.
3. Positive Feedback: The response increases the output.
In positive feedback, the system moves the variable further and further away from the set point of the variable. In negative feedback, the system moves the variable back to the set point.
Another answer
Negative feedback will stabilize an amplifier. Positive feedback will force an amplifier into an unstable state. This holds true for any other system too.
Another Answer
Negative feedback subtracts a portion of the output from the input signal. Positive feedback adds a portion of the output to the input. Both are useful. In an amplifier, negative feedback increases stability and bandwidth, but reduces gain. Positive feedback produces an oscillator.
Negative feedback occurs when the output of a system acts to oppose changes to the input of the system, with the result that the changes are attenuated. If the overall feedback of the system is negative, then the system will tend to be stable.
A system exhibiting positive feedback, in response to perturbation, acts to increase the magnitude of the perturbation. That is, "A produces more of B which in turn produces more of A".[1] In contrast, a system that responds to a perturbation in a way that reduces its effect is said to exhibit negative feedback. These concepts were first recognized as broadly applicable by Norbert Wiener in his 1948 work on cybernetics.[2]
conclusion is your final answer...or you considered it your final idea....negative or positive.. hypothesis: is a method that nearly the same in observation...because it is your prediction..but it is not the final idea...or answer...you must prove it by the following scientific methods.. :-) thnx...
By proposing a mechanism for evolution, natural selection, that explained much better than his predecessors how evolution came and comes about.
Positive correletion between x and y means that x=ay+b, with a>0 so tha as y increases, so does the x. Now, negative correlation is the same, but with a<0 so that as y increases, x decreases. You have to be careful with the value of correlation coefficient it takes values in [-1,1]. values near 1(or -1) mean strong positive(or negative for -1) linear relation between x and y.
Neutrons. If the differ in electrons they are not neutral and if they differ in protons then they are no longer the same element as the number of protons determines the name of the element.
They describe different things, so they cannot really be compared. Natural selection is the mechanism that gives direction to evolution. Punctuated equilibria is a model for the varying rates of adaptation caused by natural selection.
In the electric charge.
Negative ions have an excess of electrons while positive ions have a deficiency of electrons.
some is positive and some are negative and some are neutral and thats how there differ
HIV-positive means you are infected with the human immunodeficiency virus. HIV-negative means that you are not infected with the HIV.
some is positive and some are negative and some are neutral and thats how there differ
gram- negative and gram- positive bacteria differ in their response to different antibiotics
They have opposite charges. A cation has a positive (+) charge; an anion has a negative (-) charge.
Pushing and Pulling differ like Positive and Negative directions.
possitive clamper is clip on positive side while negetivr clamper clip towords negetive side
A positive limiter differs from a negatives limiter when it comes to places of input for guard of instrument. They also differ in audio circuits.
Protons have a positive charge. Electrons have a negative charge. Neutrons possess no charge.
An example of a positive correlation is: the number of cars on the road and the number of greenhouse gas emissions there are. As one of those rises, so does the other. A negative correlation is when one statistic rises causing the other to drop. Look at a few scatter plots and you will easily be able to see positive and negative correlations