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Nonlinear Control Sy.. - Free

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138 CHAPTER 5. FEEDBACK SYSTEMS<br />

5.1 Basic Feedback Stabilization<br />

In this section we look at several examples of stabilization via state feedback. These examples<br />

will provide valuable insight into the backstepping design of the next section.<br />

Example 5.1 Consider the first order system given by<br />

we look for a state feedback of the form<br />

u = O(x)<br />

that makes the equilibrium point at the origin "asymptotically stable." One rather obvious<br />

way to approach the problem is to choose a control law u that "cancels" the nonlinear term<br />

ax2. Indeed, setting<br />

and substituting (5.5) into (5.4) we obtain<br />

u = -ax 2 - x<br />

±= -x<br />

which is linear and globally asymptotically stable, as desired. 0<br />

We mention in passing that this is a simple example of a technique known as feedback<br />

linearization. While the idea works quite well in our example, it does come at a certain<br />

price. We notice two things:<br />

(i) It is based on exact cancelation of the nonlinear term ax2. This is undesirable since<br />

in practice system parameters such as "a" in our example are never known exactly.<br />

In a more realistic scenario what we would obtain at the end of the design process<br />

with our control u is a system of the form<br />

i=(a-a)x2-x<br />

where a represents the true system parameter and a the actual value used in the<br />

feedback law. In this case the true system is also asymptotically stable, but only<br />

locally because of the presence of the term (a - a)x2.<br />

(ii) Even assuming perfect modeling it may not be a good idea to follow this approach<br />

and cancel "all" nonlinear terms that appear in the dynamical system. The reason<br />

is that nonlinearities in the dynamical equation are not necessarily bad. To see this,<br />

consider the following example.

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