Title :
Nonlinear system control using neural networks based on trajectory linearization
Author :
Liu, Yong ; Huang, Rui ; Zhu, Jim
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Ohio Univ., Athens, OH, USA
Abstract :
A nonlinear control technique using neural networks based on trajectory linearization control (TLC) is proposed. Trajectory linearization control is a novel control design method that combines a dynamic inversion and linear time-varying feedback stabilization along a nominal trajectory. In this paper, the TLC design procedure using neural networks model is developed, and the stability and robustness are analyzed. Simulation results are presented to show the feasibility of the proposed method.
Keywords :
control system synthesis; feedback; linear systems; linearisation techniques; neurocontrollers; nonlinear control systems; position control; robust control; time-varying systems; dynamic inversion; linear time varying feedback stabilization; neural network model; nonlinear control system technique; robustness; trajectory linearization control design method; Control design; Control systems; Linear feedback control systems; Neural networks; Neurofeedback; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Robust stability; Stability analysis;
Conference_Titel :
Control Applications, 2004. Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8633-7
DOI :
10.1109/CCA.2004.1387313
