Abstract
In this chapter, an interesting, contemporary approach for designing stable adaptive fuzzy controllers is described, which employs a hybridization.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
L.-X. Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis (Prentice-Hall, Englewood Cliffs, NJ, 1994)
K. Das Sharma, Hybrid Methodologies for Stable Adaptive Fuzzy Control, Doctoral Dissertation, Jadavpur University, India, 2012
F. Cupertino, E. Mininno, D. Naso, B. Turchiano, L. Salvatore, On-line genetic design of anti-windup unstructured controllers for electric drives with variable load. IEEE Trans. Evol. Comput. 8(4), 347–364 (2004)
K. Das Sharma, A. Chatterjee, A. Rakshit, A hybrid approach for design of stable adaptive fuzzy controllers employing Lyapunov theory and particle swarm optimization. IEEE Trans. Fuzzy Syst. 17(2), 329–342 (2009)
K. Das Sharma, A. Chatterjee, A. Rakshit, Harmony search algorithm and Lyapunov theory based hybrid adaptive fuzzy controller for temperature control of air heater system with transport-delay. Appl. Soft Comput. 25, 40–50, Dec (2014)
K. Fischle, D. Schroder, An improved stable adaptive fuzzy control method. IEEE Trans. Fuzzy Syst. 7(1), 27–40 (1999)
K. Das Sharma, A. Chatterjee, F. Matsuno, A Lyapunov theory and stochastic optimization based stable adaptive fuzzy control methodology, in Proceedings of SICE Annual Conference 2008, Japan, 20–22 Aug, pp. 1839–1844
K. Das Sharma, A. Chatterjee, A. Rakshit, Design of a hybrid stable adaptive fuzzy controller employing Lyapunov theory and harmony search algorithm. IEEE Trans. Contr. Syst. Technol. 18(6), 1440–1447, Nov (2010)
R.C. Eberhart, J. Kennedy, A new optimizer using particle swarm theory, in Proceedings of the 6th International Symposium on Micro Machine and Human Science, Nagoya, Japan, 1995, pp. 39–43
J. Kennedy, R.C. Eberhart, Particle swarm optimization. Proc. IEEE Int. Conf. Neural Netw. 4, 1942–1948 (1995)
G. Venter, J.S. Sobieski, Particle swarm optimization, in 43rd AIAA Conference, Colorado, 2002
Y. Shi, R.C. Eberhart, A modified particle swarm optimizer, in Proceedings of the IEEE International Conference on Evolutionary Computation, Alaska, May, 1998
Z.W. Geem, J.H. Kim, G.V. Loganathan, A new heuristic optimization algorithm: harmony search. Simulation 76(2), 60–68 (2001)
K.S. Lee, Z.W. Geem, A new structural optimization method based on the harmony search algorithm. Comput. Struct. 82, 781–798 (2004)
M. Mahdavi, M. Fesanghary, E. Damangir, An improved harmony search algorithm for solving optimization problems. Appl. Math. Comput. 188, 1567–1679 (2007)
S.H. Zak, Systems and Control (Oxford University Press, New York, 2003)
C.-T. Chen, Control System Design, Orlando (Saunders College Publishing, Florida, 1993)
D. Driankov, H. Hellendoorn, M.M. Reinfrank, An Introduction to Fuzzy Control (Springer-Verlag, Heidelberg, Germany, 1993)
K.M. Passino, S. Yurkovich, Fuzzy control, in Handbook on Control, ed. by W. Levine (CRC, Boca Raton, FL, 1996), pp. 1001–1017
D. Chakroborty, K. Das Sharma, A study on the design methodologies of fuzzy logic controller, in Proceedings of 17th State Science & Technology Congress, WBUAFS, Kolkata, India, March 2010, p. 69
L.X. Wang, Stable adaptive fuzzy control of nonlinear system. IEEE Trans. Fuzzy Syst. 1(2), 146–155, May (1993)
K. Das Sharma, Stable fuzzy controller design employing group improvisation based harmony search algorithm. Int. J. Contr. Autom. Syst. 11(5), 1046–1052 (2013), Springer
A. Roy, K. Das Sharma, GA and Lyapunov theory based hybrid adaptive fuzzy controller for nonlinear systems. Int. J. Electron. 120(2), 312–325 (2015), Taylor & Francis
D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning (Kluwer Academic Publishers, Boston, 1989)
A. Auger, N. Hansen, A restart CMA evolution strategy with increasing population size. Cong. Evol. Comp. 2, 1769–1776 (2005)
E. Rashedi, H. Nezamabadi-pour, S. Saryazdi, GSA: a gravitational search algorithm. Inf. Sci. 179(13), 2232–2248 (2009)
A. Roy, K. Das Sharma, Gravitational search algorithm and Lyapunov theory based stable adaptive fuzzy logic controller, in Proceedings of 1st International Conference on Computational Intelligence: Modelling, Techniques and Applications (CIMTA-2013), Procedia Technol. 10, 581–586 (2013), Elsevier
K.M. Passino, Biomimicry of bacterial foraging for distributed optimization and control, in IEEE Control Systems Magazine, 2002, pp. 52–67
R. Toscano, P. Lyonnet, Stabilization of systems by static output feedback via heuristic Kalman algorithm. J. Appl. Comput. Math. 5(2), 154–165 (2006)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Das Sharma, K., Chatterjee, A., Rakshit, A. (2018). Fuzzy Controller Design III: Hybrid Adaptive Approaches. In: Intelligent Control . Cognitive Intelligence and Robotics. Springer, Singapore. https://doi.org/10.1007/978-981-13-1298-4_5
Download citation
DOI: https://doi.org/10.1007/978-981-13-1298-4_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1297-7
Online ISBN: 978-981-13-1298-4
eBook Packages: Computer ScienceComputer Science (R0)