Correct a final value to a unit step (different from zero) when the controller is not in the main branch but in the feedback one

Correct a final value to a unit step (different from zero)

In sisotool, simulate a non-unit step

We can never show this limit in the root locus, but we can do it in the step response graph

We can show this limit as a vertical line in the root locus

We can show this limit as a circle in the root locus

Never

Of course, the rot locus is the most powerful tool to design a control system

We can draw it, but not to study the stability of the complete system, only to obtain its time response

We need to edit the graph properties of the step response graph to modify its limits

We cannot, we have to mentally multiply both the input and output by the necessary scale factor 

We need to change the architecture and use a controller in the feedback branch

We need to change the prefilter F

From the accepted overshoot we find that the damping factor has to be

bigger than 0.59, from the peak time we conclude that natural frequency has to bigger

than 1.95 but from the settling time we conclude that it only needs to be bigger

than 0.5

From the accepted overshoot we find that the damping factor has to be bigger than 0.59, from the settling time the natural frequency bigger than 0.5 but from the peak time we conclude that it really has to bigger than 1.95

From the accepted overshoot we find that the damping factor has to be

bigger than 0.59, from the settling time the natural frequency bigger

than 0.5

Matlab gives the values with the damp command

A well-tuned PD will be a lag controller, therefore it will increase the precision of the system (provided that it remains stable)

A well-tuned PD will be a lead controller, therefore it will increase the stability and speed of the system 

A well-tuned PD will be a lead controller, therefore it will increase

the precision of the system (provided that it remains stable)

A well-tuned PD will be a lag controller, therefore it will increase the stability and speed of the system 

Only when we want to try a second feedback loop in cascade

Of course, the rot locus is the most powerful tool to design a control system

We can draw it, but not to study the stability of the complete system, only to obtain its time response

Both in the root locus and in the step response diagram, but both will only be exact for second order systems, otherwise they will be approximations

Both in the root locus and in the step response diagram, but the former will only be exact for second order systems. 

Only in the root locus diagrams, but the result will be approximate unless we are dealing only with a second order system, never in the step response diagram

Two real negative zeros, one integrator and (at least) one large (in absolute value) real negative pole

One zero at the origin and (at least) one large (in absolute value) real negative pole

One small real negative zero and (at least) one large (in absolute value) real negative pole

This factor could have any real value between -1 and 1, but excluding zero

This factor could have any real value between -1 and 1

This factor could have any real value, either positive or negative, never zero

This factor could have any positive real value