Abstract
Neural network inverse (NNI) method has been applied in decoupling control of MIMO nonlinear continuous-time system, but slow learning speed restricts its application. To solve the problem, a new online learning algorithm called modified online regularized extreme learning machine (MO-RELM) is proposed. MO-RELM can learn the training data one by one or chunk by chunk and discard the data for which the training has done. Finally, through connecting NNI based on MO-RELM with the original MIMO system, the constructed pseudo linear composite system (PLCS) can decouple the nonlinear coupled system into a number of independent pseudo linear SISO systems online. Simulation results show that the proposed fast decoupling method realizes online decoupling control of MIMO nonlinear continuous-time system. The method has good application prospect.
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© 2014 Springer International Publishing Switzerland
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Wang, F., Ding, JL., Liu, GH. (2014). A Fast Decoupling Method for Multi-input Multi-output Nonlinear Continuous-Time System. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theory. ICIC 2014. Lecture Notes in Computer Science, vol 8588. Springer, Cham. https://doi.org/10.1007/978-3-319-09333-8_28
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DOI: https://doi.org/10.1007/978-3-319-09333-8_28
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09332-1
Online ISBN: 978-3-319-09333-8
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