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288 CHAPTER 10. FEEDBACK LINEARIZATION<br />

(10.2) Consider the magnetic suspension system of Example 10.11. Verify that this system<br />

is input-state linearizable.<br />

(10.3) Consider again the magnetic suspension system of Example 10.11. To complete the<br />

design, proceed as follows:<br />

(a) Compute the function w and 0 and express the system in the form i = Az + By.<br />

(b) Design a state feedback control law to stabilize the ball at a desired position.<br />

(10.4) Determine whether the system<br />

is input-state linearizable.<br />

(10.5) Consider the following system:<br />

{<br />

J ±1 = X 2 X 3<br />

ll X2 = U<br />

21 = x1 + x2<br />

±2=x3+46<br />

X3=x1+x2+x3<br />

(a) Determine whether the system is input-state linearizable.<br />

(b) If the answer in part (a) is affirmative, find the linearizing law.<br />

(10.6) Consider the following system<br />

{ 21=x1+x3<br />

x2 = xix2<br />

X3 = x1 sin x2 + U<br />

(a) Determine whether the system is input-state linearizable.<br />

(b) If the answer in part (a) is affirmative, find the linearizing law.<br />

(10.7) ([36]) Consider the following system:<br />

{<br />

xl = X3 + 3.2x3<br />

x2 = x1 + (1 + x2)46<br />

23=x2(1+x1)-x3+46<br />

(a) Determine whether the system is input-state linearizable.<br />

(b) If the answer in part (a) is affirmative, find the linearizing law.

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