A new approach for instantaneous pole placement with recurrent neural networks and its application in control of nonlinear time-varying systems

Ackermann, 1972, Der entwulf linear regelungs systems in zustandsraum, Regelungstech. Und prozessdatenv erarb., 7, 297 Ahmed, 1994, Neural-net control for nonlinear plants: design approach through linearization, IEE Proc-control Theory Appl., 141, 315, 10.1049/ip-cta:19941396 Bhattacharyya, 1982, Pole assignment via Sylvester's equation, System Control Lett., 1, 261, 10.1016/S0167-6911(82)80009-1 Burl, 1999 Carotenuto, 2001, New computational procedure to the pole placement problem by static output feedback, IEE Proc., 20010771, 466 Chi-Tsong, 1999 W. Fuli, L. Mingzhong, Y. Yinghua, Neural network pole placement controller for nonlinear systems through linearization, American control conference, June 1997, pp. 1984–1988. Khalil, 1996 Lee, 1994, An iterative algorithm for pole placement by output feedback, IEEE Trans. Automat. Control, 39, 565, 10.1109/9.280760 Norgaard, 2001 Shafai, 1988, An algorithm for pole assignment in high order multivariable systems, IEEE Trans. Automat. Control, 33, 870, 10.1109/9.1320 Slotine, 1991 Wang, 1995, Recurrent neural network for synthesizing linear control systems via pole assignment, Internat. J. System Sci., 26, 2369, 10.1080/00207729508929174 Watanabe, 1992 Wonham, 1967, On pole assignment on multi-input, controllable linear systems, IEEE Trans. Automat. Control, AC-12, 660, 10.1109/TAC.1967.1098739 Zhang, 2002, A recurrent neural network for solving Sylvester equation with time-varying coefficient, IEEE Trans. Neural Network, 13, 1053, 10.1109/TNN.2002.1031938 Zhang, 2002, Global exponential stability of recurrent neural network for synthesizing linear feedback control systems via pole assignment, IEEE Trans. Neural Network, 13, 633, 10.1109/TNN.2002.1000129