Parameter estimation of bilinear systems based on an adaptive particle swarm optimization
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Hamidreza Modares | Mohammad-Bagher Naghibi-Sistani | Alireza Alfi | H. Modares | A. Alfi | M. Naghibi-Sistani
[1] Sanghyuk Lee,et al. Observers for bilinear systems with unknown inputs and application to superheater temperature control , 1997 .
[2] Mauro Birattari,et al. Swarm Intelligence , 2012, Lecture Notes in Computer Science.
[3] Nelson F. F. Ebecken,et al. Identification of recurrent fuzzy systems with genetic algorithms , 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).
[4] Yue Shi,et al. A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[5] Nedim Tutkun,et al. Estimation of the beach bar parameters using the genetic algorithms , 2008, Appl. Math. Comput..
[6] Saman K. Halgamuge,et al. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients , 2004, IEEE Transactions on Evolutionary Computation.
[7] Grigorios N. Beligiannis,et al. Nonlinear model structure identification of complex biomedical data using a genetic-programming-based technique , 2005, IEEE Transactions on Instrumentation and Measurement.
[8] Jih-Gau Juang. Application of genetic algorithm and recurrent network to nonlinear system identification , 2003, Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003..
[9] D. E. Goldberg,et al. Optimization and Machine Learning , 2022 .
[10] Hong Gu,et al. Parameter Identification of Bilinear System Based on Genetic Algorithm , 2007, LSMS.
[11] Jiangye Yuan,et al. A modified particle swarm optimizer with dynamic adaptation , 2007, Appl. Math. Comput..
[12] Russell C. Eberhart,et al. Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.
[13] D. E. Goldberg,et al. Genetic Algorithms in Search , 1989 .
[14] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[15] Oscar Castillo,et al. Evolutionary Non-Linear System Identification , 2004, IC-AI.
[16] Wei-Der Chang,et al. Nonlinear system identification and control using a real-coded genetic algorithm , 2007 .
[17] Yih-Lon Lin,et al. A particle swarm optimization approach to nonlinear rational filter modeling , 2008, Expert Syst. Appl..
[18] Rasmus K. Ursem,et al. Parameter identification of induction motors using stochastic optimization algorithms , 2004, Appl. Soft Comput..
[19] Zhao Hui,et al. Optimal Design of Power System Stabilizer Using Particle Swarm Optimization , 2006 .
[20] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[21] Junyan Wang,et al. Nonlinear Inertia Weight Variation for Dynamic Adaptation in Particle Swarm Optimization , 2011, ICSI.
[22] Chia-Nan Ko,et al. A PSO method with nonlinear time-varying evolution based on neural network for design of optimal harmonic filters , 2009, Expert Syst. Appl..
[23] Oscar Castillo,et al. The evolutionary learning rule for system identification , 2003, Appl. Soft Comput..
[24] M. A. Abido. Optimal des'ign of Power System Stabilizers Using Particle Swarm Opt'imization , 2002, IEEE Power Engineering Review.
[25] Peter J. Angeline,et al. Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences , 1998, Evolutionary Programming.
[26] Xingsheng Gu,et al. A dynamic inertia weight particle swarm optimization algorithm , 2008 .