An Evolutionary Radial Basis Function Neural Network with Robust Genetic-Based Immunecomputing for Online Tracking Control of Autonomous Robots (original) (raw)
Broomhead DS, Lowe D (1988) Multivariable functional interpolation and adptive networks. Complex Syst 2:321–355 MathSciNetMATH Google Scholar
Guillén A, Rojas I, González J, Pomares H (2007) Output value-based initialization for radial basis function neural networks. Neural Proc Lett 25:209–225 Article Google Scholar
Jin N, Liu D (2008) Wavelet basis function neural networks for sequential learning. IEEE Trans Neural Netw 19(3):523–528 Article Google Scholar
Khosravi H (2012) A novel structure for radial basis function networks–WRBF. Neural Proc Lett 35:177–186 Article Google Scholar
Hong GH, Wu XL, Qiao JF (2013) Real-time model predictive control using a self-organizing neural network. IEEE Trans Neural Netw Learn Syst 24(9):1425–1436 Article Google Scholar
Tsai CC, Huang HC, Lin SC (2010) Adaptive neural network control of a self-balancing two-wheeled scooter. IEEE Trans Ind Electron 57(4):1420–1428 Article Google Scholar
Wai Y, Fang J, Zhao P, Liu S, Wen J (2013) TCSC nonlinear adaptive damping controller design based on RBF neural network to enhance power system stability. J Electr Eng Technol 8(2):252–261 Article Google Scholar
Zhong J, Feng Y, Ye C, Ou L, Li Z (2007) Artificial immune networks based radial basic function neural networks construction algorithm and application. In: International conference on natural computation, pp 104–107
Guo L, Huang DS, Zhao W (2003) Combining genetic optimisation with hybrid learning algorithm for radial basis function neural networks. Electron Lett 39(22):1600–1601 Article Google Scholar
Cheng CH, Ye JX (2011) GA-based neural network for energy recovery system of the electric motocycle. Expert Syst Appl 38(4):3034–3039 Article Google Scholar
Taguchi G (1986) Introduction to quality engineering. Quality Resources, White Plains Google Scholar
Hasanien HM (2013) Design optimization of PID controller in automatic voltage regulator system using Taguchi combined genetic algorithm method. IEEE Syst J 7(4):825–831 Article Google Scholar
Yang CD, Luo CC, Liu SJ, Chang YH (2005) Applications of genetic-Taguchi algorithm in flight control designs. J Aerosp Eng 18(4):232–241 Article Google Scholar
Tsai JT, Chou JH, Liu TK (2006) Optimal design of digital IIR filters by using hybrid Taguchi genetic algorithm. IEEE Trans Ind Electron 53(3):867–879 Article Google Scholar
Huang HC (2012) FPGA-based hybrid GA-PSO algorithm and its application to global path planning for mobile robots. Przeglad Elektrotechniczny (Electr Rev) 7:281–284 Google Scholar
Gutiérrez PA, Hervas-Martinez C, Martínez-Estudillo FJ (2011) Logistic regression by means of evolutionary radial basis function neural networks. IEEE Trans Neural Netw 22(2):246–263 Article Google Scholar
Nie R, Yue J (2008) A GA and particle swarm optimization based hybrid algorithm. In: IEEE congress on evolutionary computation, pp 1047–1050
Zhu WH, Lamarche T, Dupuis E, Jameux D, Barnard P, Liu G (2013) Precision control of modular robot manipulators: the VDC approach with embedded FPGA. IEEE Trans Robot 29(5):1162–1179 Article Google Scholar
Tsai CC, Huang HC, Lin SC (2011) FPGA-based parallel DNA algorithm for optimal configurations of an omnidirectional mobile service robot performing fire extinguishment. IEEE Trans Ind Electron 58(3):1016–1026 Article Google Scholar
Shao X, Sun D (2007) Development of a new robot controller architecture with FPGA-based IC design for improved high-speed performance. IEEE Trans Ind Inform 3(4):312–321 Article Google Scholar
Johnson-Williams NG, Miyaoka RS, Li X, Lewellen TK, Hauck S (2011) Design of a real time FPGA-based three dimensional positioning algorithm. IEEE Trans Nuclear Sci 58(1):26–33 Article Google Scholar
Jianting M, Kharboutly H, Benali A, Ben A, Bouzit M (2014) Design of omnidirectional mobile platform for balance analysis. IEEE/ASME Trans Mech 19(6):1872–1881 Article Google Scholar
Watanabe K, Shiraishi Y, Tzafestas S, Tang J, Fukuda T (1998) Feedback control of an omnidirectional autonomous platform for mobile service robots. J Intell Robot Syst 22:315–329 Article Google Scholar
Kim H, Kim BK (2014) Online minimum-energy trajectory planning and control on a straight-line path for three-wheeled omnidirectional mobile robots. IEEE Trans Ind Electron 61(9):4771–4779 Article Google Scholar
Kim KB, Kim BK (2011) Minimum-time trajectory for three-wheeled omnidirectional mobile robots following a bounded-curvature path with a referenced heading profile. IEEE Trans Robot 27(4):800–808 Article Google Scholar
Wong CC, Wang HY, Li SA, Cheng CT (2007) Fuzzy controller designed by GA for two-wheeled mobile robots. Int J Fuzzy Syst 9(1):22–30 Google Scholar
Lin CT, Jou CP (1999) Controlling chaos by GA-based reinforcement learning neural network. IEEE Trans Neural Netw 10(4):846–859 Article Google Scholar
Lopez IL, Willigenburg LG, Straten GV (2003) Efficient differential evolution algorithms for multimodal optimal control problems. Appl Soft Comput 3(2):97–122 Article Google Scholar
Benedetti M, Azaro R, Franceschini D, Massa A (2006) PSO-based real-Time control of planar uniform circular arrays. IEEE Antennas Wirel Propag Lett 5(1):545–548 Article Google Scholar
Holland JH (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor Google Scholar
de Castro LN, Timmis JI (2003) Artificial immune systems as a novel soft computing paradigm. Soft Comput 7:526–544 Article Google Scholar
Lin SW, Chen SC (2011) Parameter tuning, feature selection and weight assignment of features for case-based reasoning by artificial immune system. Appl Softing Comput 11:5042–5052 Article Google Scholar