1 |
M. Willjuice Iruthayarajan and S. Baskar, “Evolutionary algorithms based design of multivariable PID controller,” Expert Systems with Applications, Vol. 36, pp. 9159-9167, 2009.
DOI
ScienceOn
|
2 |
S.K. Oh, T. Ahn, H. Hwang, J. Park, and K. Woo, “Design of a Hybrid Fuzzy Controller with the Optimal Auto-tuning Method,” Journal of Control, Automation and Systems Engineering, Vol. 1, No. 1, pp. 63-70, September, 1995.
|
3 |
B.J. Park, S.K. Oh, and W. Pedrycz, “The Hybrid Multi-layer Inference Architecture and Algorithm of FPNN Based on FNN and PNN,” 9th IFSA World Congress, pp. 1361-1366, 2001.
|
4 |
B.J. Park, W. Pedrycz, and S.K. Oh, “Fuzzy Polynomial Neural Networks: Hybrid Architectures of Fuzzy Modeling,” IEEE Trans. Fuzzy Systems, Vol. 10, No. 10, pp. 607-621, Oct. 2002.
DOI
ScienceOn
|
5 |
S.K. Oh and W. Pedrycz, “The Design of Hybrid Fuzzy Controllers Based on Genetic Algorithms and Estimation Techniques,” Kybernetes, Vol. 31, No. 6, pp. 909-917, 2002.
DOI
ScienceOn
|
6 |
Z.L. Gaing, “A particle swarm optimization approach for optimum design of PID controller in AVR system,” IEEE Transactions on Energy Conversion, Vol. 19, No. 2, pp. 384-391, 2004.
DOI
ScienceOn
|
7 |
S.P. Ghoshal, “Optimizations of PID gains by particle swarm optimizations in fuzzy based automatic generation control,” Electric Power Systems Research, Vol. 72, pp. 203-212, 2004.
DOI
ScienceOn
|
8 |
V. Mukherjee and S.P. Ghoshal, “Intelligent particle swarm optimized fuzzy PID controller for AVR system,” Electric Power Systems Research, Vol. 77, No. 12, pp. 1689-1698, 2007.
DOI
ScienceOn
|
9 |
J.S. Wang, Y. Zhang, and W. Wang, “Optimal design of PI/PD controller for non-minimum phase system.,” Transactions of the Institute of Measurement and Control, Vol. 28, No. 1, pp. 27-35, 2006.
DOI
|
10 |
Z. Bingul, “A new PID tuning technique using differential evolution for unstable and integrating processes with time delay,” ICONIP, Proceedings Lecture Notes in Computer Science, Vol. 3316, pp. 254-260, 2004.
DOI
ScienceOn
|
11 |
B.J. Park, W. Pedrycz, and S.K. Oh, “Identification of Fuzzy Models with the Aid of Evolutionary Data Granulation,” IEE Proceedings-CTA, Vol. 148, Issue 05, pp. 406-418, 2001.
|
12 |
L. Wang, “Stable Adaptive Fuzzy Controllers with Application to Inverted Pendulum Tracking,” IEEE Trans. On Systems, Man and Cybernetics-Part B: Cybernetics, Vol. 26, No. 5, pp. 677-691 October, 1996
DOI
|
13 |
T. Yamakawa, “A New Effective Learning Algorithm for a Neo Fuzzy Neuron Model,” 5th IFSA World Conference, pp. 1017-1020, 1993.
|
14 |
K.J. Astrom and B. Wittenmark, “Adaptive Control,” Addison-Wealtley, 1995.
|
15 |
J.G. Ziegler and N.B. Nichols, “Optimum settings for automatic controllers,” Trans. ASME, 65, pp.433-444, 1942.
|
16 |
T.J. Procyk and E.H.Mamdani, “A linguistic synthesis of fuzzy controller,” Automatica, Vol. 15, pp.15-30, 1979.
DOI
ScienceOn
|
17 |
H.X. Li, “A comparative design and tuning for conventional fuzzy control,” IEEE Trans. Syst., Man, Cybern. B, Vol. 27, pp. 884-889, Oct. 1997.
DOI
ScienceOn
|
18 |
Bao-Gang Hu, G.K.I. Mann , and R.G. Gosine, “A systematic study of fuzzy PID controllers-function-based evaluation approach,” IEEE Trans., Fuzzy Systems, Vol. 9, pp. 699-712, Oct. 2001.
DOI
ScienceOn
|
19 |
Baogang Hu, G.K.I. Mann, and R.G. Gosine , “New methodology for analytical and optimal design of fuzzy PID controllers,” IEEE Trans. Fuzzy Systems, Vol. 7, pp. 521-539, Oct. 1999.
DOI
ScienceOn
|
20 |
Peng Wang and D.P. Kwok , “Analysis and synthesis of an intelligent control system based on fuzzy logic and the PID principle,” Intelligent Systems Engineering, Vol. 1, pp. 157-171, 1992.
DOI
|
21 |
B.S. Chen, Y.M. Cheng, and C.H. Lee, “A genetic approach to mixed H2/H1 Optimal PID control,” IEEE Control Systems, Vol. 15, No. 5, pp. 51-60, 1995.
DOI
ScienceOn
|
22 |
D.E. Goldberg, “Genetic algorithms in Search, Optimization, and Machine Learning,” Addison-Weatley, 1989.
|
23 |
J.R. Jang, “Self-Learning Fuzzy Controllers Based on Temporal Back Propagation,” IEEE Trans. On Neural Networks, Vol. 3, No. 5, pp. 714-723, September, 1992.
DOI
ScienceOn
|
24 |
S.K. Oh, “Fuzzy Model & Control System by C-Programming,” Naeha Press, 2002.
|