Adaptive RTRL based neurocontroller for damping subsynchronous oscillations using TCSC
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[1] Ian Dobson,et al. Computing the damping of subsynchronous oscillations due to a thyristor controlled series capacitor , 1996 .
[2] Derek A. Linkens,et al. Learning systems in intelligent control: an appraisal of fuzzy, neural and genetic algorithm control applications , 1996 .
[3] K. R. Padiyar,et al. Power system dynamics : stability and control , 1996 .
[4] M.P. Nandakumar,et al. ANN based adaptive controller tuned by RTRL algorithm for non-linear systems , 2009, 2009 2nd International Workshop on Nonlinear Dynamics and Synchronization.
[5] M. Gupta,et al. Approximation of discrete-time state-space trajectories using dynamic recurrent neural networks , 1995, IEEE Trans. Autom. Control..
[6] P. Kundur,et al. Power system stability and control , 1994 .
[7] S. R. Joshi,et al. Output feedback SSR damping controller design based on modular discrete-time dynamic model of TCSC , 2009 .
[8] S. W. Piche,et al. Steepest descent algorithms for neural network controllers and filters , 1994, IEEE Trans. Neural Networks.
[9] Kumpati S. Narendra,et al. Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.
[10] David Zipser,et al. A Subgrouping Strategy that Reduces Complexity and Speeds Up Learning in Recurrent Networks , 1989, Neural Computation.
[11] C.-H. Wu,et al. Voluntary movements for robotic control , 1992, IEEE Control Systems.
[12] Gabriele Pannocchia,et al. Robust Multivariable Inverse-Based Controllers: Theory and Application , 1999 .
[13] S. Henschel,et al. A discrete state-space model for SSR stabilizing controller design for TCSC compensated systems , 2005, IEEE Transactions on Power Delivery.
[14] Kumpati S. Narendra,et al. Neural Networks In Dynamical Systems , 1990, Other Conferences.
[15] D.N. Walker,et al. Torsional Vibration and Fatigue of Turbine-Generator shafts , 1981, IEEE Transactions on Power Apparatus and Systems.
[16] K. R. Padiyar,et al. Analysis of Subsynchronous Resonance in Power Systems , 1998 .
[17] H. A. Othman,et al. Analytical modeling of thyristor-controlled series capacitors for SSR studies , 1996 .
[18] Barak A. Pearlmutter. Gradient calculations for dynamic recurrent neural networks: a survey , 1995, IEEE Trans. Neural Networks.
[19] Om P. Malik,et al. An artificial neural network based adaptive power system stabilizer , 1993 .
[20] Saul Goldberg,et al. Subsynchronous Resonance in Series Compensated Transmission Lines , 1973 .
[21] Ronald J. Williams,et al. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.
[22] Narain Hingorani. A New Scheie for Subsynchronous Resonance Damping of Torsional Oscillations and Transient Torque - Part I , 1981, IEEE Transactions on Power Apparatus and Systems.
[23] S. G. Jalali,et al. A stability model for the advanced series compensator (ASC) , 1996 .
[24] Paul M. Anderson,et al. Subsynchronous resonance in power systems , 1989 .
[25] A. M. Wahdan,et al. Adaptive Control of Nonlinear Multivariable Systems Using Neural Networks and Approximate Models , 2007 .
[26] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[27] R. Maciel Filho,et al. Design of multivariable controller based on neural networks , 2000 .
[28] A.M. Kulkarni,et al. Discrete-Time Dynamic Model of NGH Damper , 2007, IEEE Transactions on Power Systems.