Journal ArticleDOI
New Chaotic PSO-Based Neural Network Predictive Control for Nonlinear Process
TLDR
A novel nonlinear neural network (NN) predictive control strategy based on the new tent-map chaotic particle swarm optimization (TCPSO) is presented to enhance the convergence and accuracy of the TCPSO.Abstract:
In this letter, a novel nonlinear neural network (NN) predictive control strategy based on the new tent-map chaotic particle swarm optimization (TCPSO) is presented. The TCPSO incorporating tent-map chaos, which can avoid trapping to local minima and improve the searching performance of standard particle swarm optimization (PSO), is applied to perform the nonlinear optimization to enhance the convergence and accuracy. Numerical simulations of two benchmark functions are used to test the performance of TCPSO. Furthermore, simulation on a nonlinear plant is given to illustrate the effectiveness of the proposed control schemeread more
Citations
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Journal ArticleDOI
Analysis of the publications on the applications of particle swarm optimisation
TL;DR: A large number of publications dealing with PSO applications stored in the IEEE Xplore database at the time of writing are categorised.
Journal ArticleDOI
Self regulating particle swarm optimization algorithm
TL;DR: A statistical analysis on performance evaluation of the different algorithms on CEC2005 problems indicates that SRPSO is better than other algorithms with a 95% confidence level.
Journal ArticleDOI
Hybrid Particle Swarm Optimization With Wavelet Mutation and Its Industrial Applications
TL;DR: A new hybrid particle swarm optimization that incorporates a wavelet-theory-based mutation operation is proposed that significantly outperforms the existing methods in terms of convergence speed, solution quality, and solution stability.
Journal ArticleDOI
A Hybrid of Cooperative Particle Swarm Optimization and Cultural Algorithm for Neural Fuzzy Networks and Its Prediction Applications
TL;DR: An evolutionary neural fuzzy network, designed using the functional-link-based neural fuzzynetwork (FLNFN) and a new evolutionary learning algorithm based on a hybrid of cooperative particle swarm optimization and cultural algorithm is presented.
Journal ArticleDOI
Improved Hybrid Particle Swarm Optimized Wavelet Neural Network for Modeling the Development of Fluid Dispensing for Electronic Packaging
TL;DR: An improved hybrid particle swarm optimization (PSO)-based wavelet neural network (WNN) for modeling the development of fluid dispensing for electronic packaging (MFD-EP) is presented, which incorporates a wavelet-theory-based mutation operation.
References
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Proceedings ArticleDOI
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Journal ArticleDOI
Generalized predictive control—Part I. The basic algorithm
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