## How to visualise feedback function?

numA = [0.1];

denomA = [1 0];

C = tf(numA, denomA)

numB = [1];

denomB = [1 1];

G = tf(numB, denomB)

s = tf(‘s’);

R = 10/s

My task is to write an M-file to find and plot the response of the following system to an input signal of R(s) = 10/s.

However, I am unable to understand the function of different parameters in the FUNCTION called feedback().

One thing I understood is that it is a closed negative loop, therefore I won’t have to add 1 at the last parameter which is for positive feedback loop.

Hence, I am unsure whether to use one of these for the final output:

Given that R(s) = 10/s.

I am thinking between:

system1 = (C,G)

step(R*system1)

system2 = (C*G,1,-1)

step(R*system2)

What is the difference between system1 and system 2? Both are closed loops. In system 1, C and G are two different models. In system 2, C and G are treated as one model by mutliplying with unity being the other model.

What is the visual difference between system1 and system2? What am I doing wrong?numA = [0.1];

denomA = [1 0];

C = tf(numA, denomA)

numB = [1];

denomB = [1 1];

G = tf(numB, denomB)

s = tf(‘s’);

R = 10/s

My task is to write an M-file to find and plot the response of the following system to an input signal of R(s) = 10/s.

However, I am unable to understand the function of different parameters in the FUNCTION called feedback().

One thing I understood is that it is a closed negative loop, therefore I won’t have to add 1 at the last parameter which is for positive feedback loop.

Hence, I am unsure whether to use one of these for the final output:

Given that R(s) = 10/s.

I am thinking between:

system1 = (C,G)

step(R*system1)

system2 = (C*G,1,-1)

step(R*system2)

What is the difference between system1 and system 2? Both are closed loops. In system 1, C and G are two different models. In system 2, C and G are treated as one model by mutliplying with unity being the other model.

What is the visual difference between system1 and system2? What am I doing wrong? numA = [0.1];

denomA = [1 0];

C = tf(numA, denomA)

numB = [1];

denomB = [1 1];

G = tf(numB, denomB)

s = tf(‘s’);

R = 10/s

My task is to write an M-file to find and plot the response of the following system to an input signal of R(s) = 10/s.

However, I am unable to understand the function of different parameters in the FUNCTION called feedback().

One thing I understood is that it is a closed negative loop, therefore I won’t have to add 1 at the last parameter which is for positive feedback loop.

Hence, I am unsure whether to use one of these for the final output:

Given that R(s) = 10/s.

I am thinking between:

system1 = (C,G)

step(R*system1)

system2 = (C*G,1,-1)

step(R*system2)

What is the difference between system1 and system 2? Both are closed loops. In system 1, C and G are two different models. In system 2, C and G are treated as one model by mutliplying with unity being the other model.

What is the visual difference between system1 and system2? What am I doing wrong? matlab, matlab function, system, control, transfer function MATLAB Answers — New Questions