Stability Analysis of a Neurocontroller with Kalman Estimator for the Inverted Pendulum Case

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DOI: 10.4236/am.2017.811117    976 Downloads   1,665 Views  

ABSTRACT

In this paper, a practical analysis of stability by simulation for the effect of incorporating a Kalman estimator in the control loop of the inverted pendulum with a neurocontroller is presented. The neurocontroller is calculated by approximate optimal control, without considering the Kalman estimator in the loop following the Theorem of the separation. The results are compared with a time-varying linear controller, which in noiseless conditions in the state or in the measurement has an acceptable performance, but when it is under noise conditions its operation closes into a state space range more limited than the one proposed here.

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Pucheta, J. , Rivero, C. , Salas, C. , Herrera, M. and Laboret, S. (2017) Stability Analysis of a Neurocontroller with Kalman Estimator for the Inverted Pendulum Case. Applied Mathematics, 8, 1602-1618. doi: 10.4236/am.2017.811117.

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