Table 3 Parametrization of data for Atangana-Baleanu steam turbine model within Laplace domain.

From: Comparative behavior of steam turbine model for dynamical power system analyses by means of multiple fractional and artificial neural network techniques

\(\:t\)

\(\:{P}_{0}\)

\(\:{F}_{0}\)

\(\:{\alpha\:}_{3}\)

\(\:{\beta\:}_{3}\)

\(\:{}_{3}{}^{AB}G\left(t\right)\)

\(\:{}_{3}{}^{AB}H\left(t\right)\)

Enhancement/Reduction

5

0.5

3

0.89

0.89

22.43888

9.99948

---

---

10

0.5

3

0.89

0.89

16.78352

6.99971

25.2033

29.9992

15

0.5

3

0.89

0.89

14.74652

4.99980

12.1369

28.5340

20

0.5

3

0.89

0.89

13.68159

2.99984

7.22156

40.0004

25

0.5

3

0.89

0.89

13.02214

0.99987

4.81998

66.6692

\(\:{}_{3}{}^{AB}G\left(t\right)=22.715-0.438\:t,\:{}_{3}{}^{AB}H\left(t\right)11.799-\:0.44\:t\)

  

5

0.5

3

0.89

0.89

13.10756

1.97164

---

---

5

1.0

3

0.89

0.89

15.44039

5.92037

-17.7975

-200.27

5

1.5

3

0.89

0.89

17.77322

11.87425

-15.1086

-100.56

5

2.0

3

0.89

0.89

20.10605

16.83252

-13.1255

-41.756

5

2.5

3

0.89

0.89

24.77171

22.79460

-23.2052

-35.420

\(\:{}_{3}{}^{AB}G\left(t\right)=9.841{P}_{0}+5.598\:{P}_{0},{}_{3}{}^{AB}H\left(t\right)=-3.88+10.511{P}_{0}\)

  

5

0.5

3

0.89

0.89

20.08599

7.74829

---

---

5

0.5

6

0.89

0.89

16.89096

6.24796

15.9067

19.3633

5

0.5

9

0.89

0.89

14.57289

4.74762

13.7237

24.0132

5

0.5

12

0.89

0.89

12.81428

3.24728

12.0676

31.6019

5

0.5

15

0.89

0.89

11.43442

1.74694

10.7684

46.2029

\(\:{}_{3}{}^{AB}G\left(t\right)=21.573-0.712{F}_{0},\:{}_{3}{}^{AB}H\left(t\right)=9.248-0.500{F}_{0}\)

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