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Additional Exercises The following exercises cover some of the topics introduced in this chapter. Exercises marked with a * appear in the printed text. Exercise: Exploring the dynamics of a rolling mill Exercise: Popular articles about control Frequently Asked Questions Question: Can a control system include a human operator as a component? Question: How are stability, performance and robustness different? Question: How can I go from a continuous time linear ODE to a discrete time representation? Question: How can we tell from the phase plots if the system is oscillating? Question: How do you know when your model is sufficiently complex? Question: In the predator prey example, where is the fox birth rate term? Question: What is "closed form"? Question: What is a state? How does one determine what is a state and what is not? Question: What is a stochastic system? Question: What is the advantage of having a model? Question: What is the definition of a system? Question: Why does the effective service rate f(x) go to zero when x = 0 in the example on queuing systems? Question: Why isn't there a term for the rabbit death rate besides being killed by the foxes? Errata Errata: 'a' in equation (14.13) should be 's' Errata: C matrix in Example 8.7 (vectored thrust aircraft) is incorrect Errata: Example 8.10 missing factor of v, a1 and a2 flipped Errata: feedforward term in control law for Example 7.5 is missing Le term

Python Code The following Python scripts are available for producing figures that appear in this chapter. See the software page for more information on how to run these scripts. Additional Information