By Harold, Allen, Randal Klee

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10. The downstream process requires that the sustained fluctuations in the flow F0(t) be no larger than 10 ft3=min. 25 ft per ft3=min. 10 (a) Find the difference equation for F0, A(n), n ¼ 0, 1, 2, 3, . . Leave the tank cross-sectional area A as a parameter. 5 min for a starting value of A ¼ 100 ft2. Graph both F0, A(n) and HA(n), n ¼ 0, 1, 2, . . for a period of time sufficient to determine if the design criterion is satisfied. Assume that the tank is initially empty. (c) Repeat part (b) with a new value of A until the design criterion is satisfied.

5% interest annually. (a) Track the end of year fund balance for the first several years. (b) Find the account balance at the end of 18th year. (a) The discrete-time model is y(k) ¼ y(k À 1) þ 0:075y(k À 1) þ u(k), k ¼ 1, 2, 3, . . with input u(k) ¼ 1000, k ¼ 1, 2, 3, . . and initial condition y(0) ¼ 5000. 19 Mathematical Modeling The account balance at the end of years 1, 2, and 3 are worked out as follows: k ¼ 1: k ¼ 2: k ¼ 3: y(1) ¼ y(0) þ 0:075y(0) þ u(1) ¼ 5000 þ 0:075(5000) þ 1000 ¼ 6375 y(2) ¼ y(1) þ 0:075y(1) þ u(2) ¼ 6375 þ 0:075(6375) þ 1000 ¼ 7853:13 y(3) ¼ y(2) þ 0:075y(2) þ u(3) ¼ 7853:13 þ 0:075(7853:13) þ 1000 ¼ 9442:11 (b) The recursive solution could be continued for k ¼ 4, 5, 6, .

18 is a continuous-time model and the system is a continuous-time system because it involves only continuous-time variables. In contrast to the continuous-time signals F1(t), F0(t), and H(t), the sequence of sampled input flow values, F1(nDt), n ¼ 0, 1, 2, . . and the sequence of approximate tank levels HA(nDt), n ¼ 0, 1, 2, . . are classified as discrete-time (discrete for short) signals because the independent variable ‘‘n’’ is discrete in nature. 31) is classified as a discrete-time model, and the underlying system with purely discrete-time input and output signals is likewise a discrete-time system.

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Simulation of Dynamic Systems with MATLAB and Simulink, 2nd by Harold, Allen, Randal Klee
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