Neurodynamics-based robust pole assignment for synthesizing second-order control systems via output feedback based on a convex feasibility problem reformulation
暂无分享,去创建一个
[1] Jaroslav Kautsky,et al. Robust Eigenstructure Assignment in Quadratic Matrix Polynomials: Nonsingular Case , 2001, SIAM J. Matrix Anal. Appl..
[2] Jun Wang,et al. A neurodynamic optimization approach to robust pole assignment for synthesizing linear state feedback control systems , 2013, 52nd IEEE Conference on Decision and Control.
[3] Jun Wang,et al. A general projection neural network for solving monotone variational inequalities and related optimization problems , 2004, IEEE Transactions on Neural Networks.
[4] Qingshan Liu,et al. A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints , 2013, IEEE Transactions on Neural Networks and Learning Systems.
[5] Jun Wang,et al. Robust Pole Assignment for Synthesizing Feedback Control Systems Using Recurrent Neural Networks , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[6] Chi-Tsong Chen,et al. Linear System Theory and Design , 1995 .
[7] Jun Wang,et al. Augmented gradient flows for on-line robust pole assignment via state and output feedback , 2002, Autom..
[8] Jun Wang,et al. A general methodology for designing globally convergent optimization neural networks , 1998, IEEE Trans. Neural Networks.
[9] Jun Wang,et al. Global exponential stability of recurrent neural networks for synthesizing linear feedback control systems via pole assignment , 2002, IEEE Trans. Neural Networks.
[10] Jun Wang,et al. A one-layer recurrent neural network for constrained nonsmooth invex optimization , 2014, Neural Networks.
[11] Biswa Nath Datta,et al. Numerically robust pole assignment for second-order systems , 1996 .
[12] E. Chu,et al. Optimization and pole assignment in control system design , 2001 .
[13] C. Brezinski. Computational Aspects of Linear Control , 2002 .
[14] Amit Bhaya,et al. On the design of large flexible space structures (LFSS) , 1985 .
[15] J. Lam,et al. Robust Approximate Pole Assignment for Second-Order Systems: Neural Network Computation , 1998 .
[16] Wen-Wei Lin,et al. Robust Partial Pole Assignment for Vibrating Systems With Aerodynamic Effects , 2006, IEEE Transactions on Automatic Control.
[17] Jun Wang,et al. A multilayer recurrent neural network for on-line synthesis of minimum-norm linear feedback control systems via pole assignment , 1996, Autom..
[18] Leon O. Chua,et al. Neural networks for nonlinear programming , 1988 .
[19] Erkki Oja,et al. Neural Networks, Principal Components, and Subspaces , 1989, Int. J. Neural Syst..
[20] Mauro Forti,et al. Generalized neural network for nonsmooth nonlinear programming problems , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.
[21] Xiaolin Hu,et al. Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network , 2006, IEEE Transactions on Neural Networks.
[22] Alan J. Laub,et al. Controllability and observability criteria for multivariable linear second-order models , 1984 .
[23] Jun Wang,et al. Multilayer recurrent neural networks for online robust pole assignment , 2003 .
[24] N. Nichols,et al. Robust pole assignment in linear state feedback , 1985 .
[25] A. Tits,et al. Globally convergent algorithms for robust pole assignment by state feedback , 1996, IEEE Trans. Autom. Control..
[26] Yan Fu,et al. Neural networks based approach for computing eigenvectors and eigenvalues of symmetric matrix , 2004 .
[27] James Lam,et al. Neural computation for robust approximate pole assignment , 1999, Neurocomputing.
[28] James Lam,et al. A gradient flow approach to the robust pole-placement problem , 1995 .
[29] B. Datta,et al. Feedback stabilization of a second-order system: A nonmodal approach , 1993 .
[30] Amit Bhaya,et al. On the design of large flexible space structures(LFSS) , 1985, 1985 24th IEEE Conference on Decision and Control.
[31] Jun Wang,et al. A recurrent neural network for solving nonlinear convex programs subject to linear constraints , 2005, IEEE Transactions on Neural Networks.
[32] Jiang Qian,et al. Robust partial pole assignment problem for high order control systems , 2012, Autom..
[33] Jun Wang,et al. A gradient flow approach to on-line robust pole assignment for synthesizing output feedback control systems , 2002, Autom..
[34] Guang-Ren Duan,et al. Robust Pole Assignment in Descriptor Second-order Dynamical Systems , 2007 .
[35] Qingshan Liu,et al. A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization , 2012, Neural Networks.
[36] Mark J. Balas,et al. Trends in large space structure control theory: Fondest hopes, wildest dreams , 1982 .
[37] J. J. Hopfield,et al. “Neural” computation of decisions in optimization problems , 1985, Biological Cybernetics.
[38] Jun Wang,et al. A recurrent neural network for solving a class of generalized convex optimization problems , 2013, Neural Networks.
[39] Zheng Bao,et al. Dynamical system for computing the eigenvectors associated with the largest eigenvalue of a positive definite matrix , 1995, IEEE Trans. Neural Networks.
[40] Jun Wang,et al. A One-Layer Recurrent Neural Network for Constrained Nonsmooth Optimization , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[41] Jun Wang. Analysis and design of a recurrent neural network for linear programming , 1993 .
[42] Guang-Ren Duan,et al. Parametric eigenstructure assignment in second-order descriptor linear systems , 2004, IEEE Transactions on Automatic Control.
[43] Qingshan Liu,et al. A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints , 2011, IEEE Transactions on Neural Networks.