Gray Wolf Optimization-Based Controller Design for Two-Tank System-Reference-Cited by-同舟云学术

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Gray Wolf Optimization-Based Controller Design for Two-Tank System

Published:2018-09-29 Issue: Volume: Page:501-507
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Prakash Tapan,Singh V. P.,Patnana Naresh

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-1819-1_47

Reference9 articles.

1. Y. Abdel-Magid, M. Dawoud, Optimal AGC tuning with genetic algorithms. Electr. Power Syst. Res. 38(3), 231–238 (1996)

2. M.I. Solihin, L.F. Tack, M.L. Kean, Tuning of PID controller using particle swarm optimization (PSO). Int. J. Adv. Sci. Eng. Inf. Technol. 1(4), 458–461 (2011)

3. A.K. Wong, W.W. Lin, M.T. Ip, T.S. Dillon, Genetic algorithm and PID Control together for dynamic anticipative marginal buffer management: an effective approach to enhance dependability and performance for distributed mobile object-based real-time computing over the internet. J. Parallel Distrib. Comput. 62(9), 1433–1453 (2002)

4. R.K. Sahu, S. Panda, U.K. Rout, D.K. Sahoo, Teaching learning based optimization algorithm for automatic generation control of power system using 2-DOF PID controller. Int. J. Electr. Power Energy Syst. 77, 287–301 (2016)

5. D. Sambariya, R. Fagna, A novel elephant herding optimization based PID controller design for Load frequency control in power system, in 2017 International Conference on Computer, Communications and Electronics (Comptelix) (2017), pp. 595–600. IEEE

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