An algorithm of uniform ultimate boundedness for a class of switched linear systems
暂无分享,去创建一个
[1] Roderick Murray-Smith,et al. Side-effects of normalising basis functions in local model networks , 1997 .
[2] Gang Feng,et al. Analysis and design for a class of complex control systems Part I: Fuzzy modelling and identification , 1997, Autom..
[3] M. Branicky. Multiple Lyapunov functions and other analysis tools for switched and hybrid systems , 1998, IEEE Trans. Autom. Control..
[4] Léon Bottou,et al. Local Learning Algorithms , 1992, Neural Computation.
[5] Xuping Xu,et al. Stabilization of second-order LTI switched systems , 2000 .
[6] A. Morse,et al. Stability of switched systems: a Lie-algebraic condition ( , 1999 .
[7] S.M. Williams,et al. Adaptive frequency domain control of PWM switched power line conditioner , 1990, Fifth Annual Proceedings on Applied Power Electronics Conference and Exposition.
[8] Junhong Nie,et al. A neural approach to fuzzy modeling , 1994, Proceedings of 1994 American Control Conference - ACC '94.
[9] Jorge J. Moré,et al. The Levenberg-Marquardt algo-rithm: Implementation and theory , 1977 .
[10] A. Morse. Supervisory control of families of linear set-point controllers Part I. Exact matching , 1996, IEEE Trans. Autom. Control..
[11] W. Leithead,et al. Analytic framework for blended multiple model systems using linear local models , 1999 .
[12] Tor Arne Johansen,et al. Local learning in local model networks , 1995 .
[13] Pierre Roussel-Ragot,et al. Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms , 1993, Neural Computation.
[14] Robert Shorten,et al. On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models , 2000, IEEE Trans. Fuzzy Syst..
[15] Tor Arne Johansen,et al. On Tikhonov regularization, bias and variance in nonlinear system identification , 1997, Autom..
[16] José Ragot,et al. Non-linear dynamic system identification: A multi-model approach , 1999 .
[17] John Guckenheimer,et al. A Dynamical Simulation Facility for Hybrid Systems , 1993, Hybrid Systems.
[18] Roger W. Brockett,et al. Hybrid Models for Motion Control Systems , 1993 .
[19] Robert Shorten,et al. On the interpretation of local models in blended multiple model structures. , 1999 .
[20] Lennart Ljung,et al. Construction of Composite Models from Observed Data , 1992 .
[21] Lawton H. Lee,et al. Identification of Linear Parameter-Varying Systems Using Nonlinear Programming , 1999 .
[22] A. Morse,et al. Basic problems in stability and design of switched systems , 1999 .
[23] Pravin Varaiya,et al. Smart cars on smart roads: problems of control , 1991, IEEE Trans. Autom. Control..
[24] J. Stark,et al. Delay Embeddings for Forced Systems. I. Deterministic Forcing , 1999 .
[25] Pierre Roussel-Ragot,et al. Training recurrent neural networks: why and how? An illustration in dynamical process modeling , 1994, IEEE Trans. Neural Networks.
[26] D. Broomhead,et al. Takens embedding theorems for forced and stochastic systems , 1997 .
[27] Lee A. Feldkamp,et al. Neurocontrol of nonlinear dynamical systems with Kalman filter trained recurrent networks , 1994, IEEE Trans. Neural Networks.
[28] Lennart Ljung,et al. Nonlinear black-box modeling in system identification: a unified overview , 1995, Autom..
[29] Michel Verhaegen,et al. Identification of multivariable LPV state space systems by local gradient search , 2001, 2001 European Control Conference (ECC).
[30] Kumpati S. Narendra,et al. Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.
[31] Tatsushi Ooba,et al. Two conditions concerning common quadratic Lyapunov functions for linear systems , 1997, IEEE Trans. Autom. Control..
[32] Kumpati S. Narendra,et al. Neural networks and dynamical systems , 1992, Int. J. Approx. Reason..
[33] J. Sjöberg. On estimation of nonlinear black-box models: how to obtain a good initialization , 1997 .
[34] Léon Personnaz,et al. BLACK-BOX MODELING WITH STATE-SPACE NEURAL NETWORKS , 1995 .
[35] Chengyu Gan,et al. Model-based recurrent neural network for modeling nonlinear dynamic systems , 2000, IEEE Trans. Syst. Man Cybern. Part B.
[36] Y. C. Soh,et al. Stability of perturbed switched nonlinear systems , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).
[37] L. Ljung,et al. Overtraining, regularization and searching for a minimum, with application to neural networks , 1995 .
[38] Said Oucheriah,et al. Robust tracking and model following of uncertain dynamic delay systems by memoryless linear controllers , 1999, IEEE Trans. Autom. Control..
[39] Georges Bastin,et al. An estimator of the inverse covariance matrix and its application to ML parameter estimation in dynamical systems , 2001, Autom..
[40] Jun Zhao,et al. Hybrid control for global stabilization of the cart-pendulum system , 2001, Autom..
[41] Michel Verhaegen,et al. Identification of the deterministic part of MIMO state space models given in innovations form from input-output data , 1994, Autom..