A Combined Input-state Feedback Linearization Scheme and Independent Component Analysis Filter for the Control of Chaotic Systems with Significant Measurement Noise
暂无分享,去创建一个
[1] Ralph Linsker,et al. Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network , 1992, Neural Computation.
[2] H. Chizeck,et al. Feedback linearization of discrete-time systems , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.
[3] S. Boccaletti,et al. The control of chaos: theory and applications , 2000 .
[4] D. Chakrabarti,et al. A fast fixed - point algorithm for independent component analysis , 1997 .
[5] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.
[6] Alberto Isidori,et al. Nonlinear Control Systems, Third Edition , 1995, Communications and Control Engineering.
[7] Nam Kwnaghee. Linearization of discrete-time nonlinear systems and a canonical structure , 1989 .
[8] Ying-Cheng Lai,et al. Controlling chaos , 1994 .
[9] P. Kokotovic,et al. Feedback linearization of sampled-data systems , 1988 .
[10] E. Dowell,et al. Chaotic Vibrations: An Introduction for Applied Scientists and Engineers , 1988 .
[11] J. Nadal,et al. Nonlinear neurons in the low-noise limit: a factorial code maximizes information transfer Network 5 , 1994 .
[12] Robin J. Evans,et al. Control of chaos: Methods and applications in engineering, , 2005, Annu. Rev. Control..
[13] John S. Denker,et al. Neural Networks for Computing , 1998 .
[14] J. Nadal. Non linear neurons in the low noise limit : a factorial code maximizes information transferJean , 1994 .
[15] Christian Jutten,et al. Space or time adaptive signal processing by neural network models , 1987 .
[16] Juha Karhunen,et al. Representation and separation of signals using nonlinear PCA type learning , 1994, Neural Networks.
[17] Riccardo Marino,et al. Nonlinear control design , 1995 .
[18] Leon O. Chua,et al. Practical Numerical Algorithms for Chaotic Systems , 1989 .
[19] E. Lorenz. Deterministic nonperiodic flow , 1963 .
[20] Aapo Hyvärinen,et al. Survey on Independent Component Analysis , 1999 .
[21] Neal B. Abraham,et al. Laser Physics and Laser Instabilities , 1988 .
[22] Andrzej Cichocki,et al. Robust learning algorithm for blind separation of signals , 1994 .
[23] Edward Ott,et al. Controlling chaos , 2006, Scholarpedia.
[24] Te-Won Lee,et al. Independent Component Analysis , 1998, Springer US.
[25] Westervelt,et al. Intermittent chaos and low-frequency noise in the driven damped pendulum. , 1985, Physical review letters.
[26] A Garfinkel,et al. Controlling cardiac chaos. , 1992, Science.
[27] Christian Jutten,et al. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture , 1991, Signal Process..
[28] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[29] Aapo Hyvärinen,et al. Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.
[30] Pi-Cheng Tung,et al. Analysis and observer design in synchronization via a state feedback control method , 1997 .
[31] T. Sejnowski,et al. Dynamic Brain Sources of Visual Evoked Responses , 2002, Science.
[32] Tung,et al. Controlling chaos using differential geometric method. , 1995, Physical review letters.
[33] Te-Won Lee,et al. Blind Separation of Delayed and Convolved Sources , 1996, NIPS.
[34] Julien Clinton Sprott,et al. A new class of chaotic circuit , 2000 .
[35] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[36] Chyun-Chau Fuh,et al. Control of discrete-time chaotic systems via feedback linearization , 2002 .
[37] Rollins,et al. Controlling chaos in highly dissipative systems: A simple recursive algorithm. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.