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The following MATLAB code will plot the root locus of the closed-loop transfer function as varies using the described manual method as well as the rlocus built-in function: % Manual method K_array = ( 0 : 0.1 : 220 ). ' ; % .' is a transpose.
A ridgeline plot (also known as a joyplot [1] [note 1]) is a series of line plots that are combined by vertical stacking to allow the easy visualization of changes through space or time. The plots are often overlapped slightly to allow the changes to be more clearly contrasted. [2] [3] [4] [5]
The diagram consists of a set of words and arrows. Causal loop diagrams are accompanied by a narrative which describes the causally closed situation the CLD describes. Closed loops, or causal feedback loops, in the diagram are very important features of CLDs because they may help identify non-obvious vicious circles and virtuous circles.
Figure 1: Ideal negative feedback model; open loop gain is A OL and feedback factor is β. This section describes the step response of a simple negative feedback amplifier shown in Figure 1. The feedback amplifier consists of a main open-loop amplifier of gain A OL and a feedback loop governed by a feedback factor β. This feedback amplifier is ...
In computing, a linear-feedback shift register (LFSR) is a shift register whose input bit is a linear function of its previous state. The most commonly used linear function of single bits is exclusive-or (XOR).
The Nichols plot is a plot used in signal processing and control design, named after American engineer Nathaniel B. Nichols. [ 1 ] [ 2 ] [ 3 ] It plots the phase response versus the response magnitude of a transfer function for any given frequency, and as such is useful in characterizing a system's frequency response .
One of the main results in the theory is that the solution is provided by the linear–quadratic regulator (LQR), a feedback controller whose equations are given below. LQR controllers possess inherent robustness with guaranteed gain and phase margin , [ 1 ] and they also are part of the solution to the LQG (linear–quadratic–Gaussian) problem .
The feedback comb filter has some properties in common with the feedforward form: The response periodically drops to a local minimum and rises to a local maximum. The maxima for positive values of α {\displaystyle \alpha } coincide with the minima for negative values of α , {\displaystyle \alpha ,} and vice versa.