Neurodynamic optimization approaches to robust pole assignment based on alternative robustness measures
暂无分享,去创建一个
[1] Jianping Li,et al. Notes on "Recurrent neural network model for computing largest and smallest generalized eigenvalue" , 2010, Neurocomputing.
[2] Qingshan Liu,et al. A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints , 2011, IEEE Transactions on Neural Networks.
[3] Xiaolin Hu,et al. Design of General Projection Neural Networks for Solving Monotone Linear Variational Inequalities and Linear and Quadratic Optimization Problems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[4] Xiaolin Hu,et al. Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network , 2006, IEEE Transactions on Neural Networks.
[5] J. J. Hopfield,et al. “Neural” computation of decisions in optimization problems , 1985, Biological Cybernetics.
[6] Jun Wang,et al. A recurrent neural network for nonlinear optimization with a continuously differentiable objective function and bound constraints , 2000, IEEE Trans. Neural Networks Learn. Syst..
[7] Ian Postlethwaite,et al. Multivariable Feedback Control: Analysis and Design , 1996 .
[8] Qingshan Liu,et al. A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization , 2012, Neural Networks.
[9] Jun Wang,et al. A general methodology for designing globally convergent optimization neural networks , 1998, IEEE Trans. Neural Networks.
[10] Jun Wang,et al. A deterministic annealing neural network for convex programming , 1994, Neural Networks.
[11] A. Benzaouia,et al. Robust exact pole placement via an LMI-based algorithm , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.
[12] 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..
[13] Jun Wang,et al. Augmented gradient flows for on-line robust pole assignment via state and output feedback , 2002, Autom..
[14] Jun Wang,et al. A recurrent neural network for solving nonlinear convex programs subject to linear constraints , 2005, IEEE Transactions on Neural Networks.
[15] Qingshan Liu,et al. A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming , 2008, IEEE Transactions on Neural Networks.
[16] Leon O. Chua,et al. Neural networks for nonlinear programming , 1988 .
[17] Mauro Forti,et al. Generalized neural network for nonsmooth nonlinear programming problems , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.
[18] Jun Wang,et al. A gradient flow approach to on-line robust pole assignment for synthesizing output feedback control systems , 2002, Autom..
[19] E. Chu,et al. Optimization and pole assignment in control system design , 2001 .
[20] Erkki Oja,et al. Neural Networks, Principal Components, and Subspaces , 1989, Int. J. Neural Syst..
[21] N. Nichols,et al. Robust pole assignment in linear state feedback , 1985 .
[22] Youshen Xia,et al. A recurrent neural network for nonlinear convex optimization subject to nonlinear inequality constraints , 2004, IEEE Trans. Circuits Syst. I Regul. Pap..
[23] Jun Wang. Recurrent neural networks for optimization , 1996 .
[24] James Lam,et al. A gradient flow approach to the robust pole-placement problem , 1995 .
[25] James Lam,et al. Neural computation for robust approximate pole assignment , 1999, Neurocomputing.
[26] J. Hopfield,et al. Computing with neural circuits: a model. , 1986, Science.
[27] Andrzej Cichocki,et al. Neural networks for optimization and signal processing , 1993 .
[28] S. Nash,et al. Approaches to robust pole assignment , 1989 .
[29] Jun Wang,et al. A general projection neural network for solving monotone variational inequalities and related optimization problems , 2004, IEEE Transactions on Neural Networks.
[30] 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.
[31] Jun Wang,et al. Multilayer recurrent neural networks for online robust pole assignment , 2003 .
[32] Shubao Liu,et al. A Simplified Dual Neural Network for Quadratic Programming With Its KWTA Application , 2006, IEEE Transactions on Neural Networks.
[33] Xiaolin Hu,et al. An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its $k$-Winners-Take-All Application , 2008, IEEE Transactions on Neural Networks.
[34] 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.
[35] Jun Wang. Analysis and design of a recurrent neural network for linear programming , 1993 .
[36] A. Tits,et al. Globally convergent algorithms for robust pole assignment by state feedback , 1996, IEEE Trans. Autom. Control..
[37] Yan Fu,et al. Neural networks based approach for computing eigenvectors and eigenvalues of symmetric matrix , 2004 .