A new development for the Tikhonov Theorem in nonlinear singular perturbation systems

[1]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[2]  Hassan K. Khalil,et al.  Singular perturbation methods in control : analysis and design , 1986 .

[3]  Charles R. Johnson,et al.  Topics in Matrix Analysis , 1991 .

[4]  Mark W. Spong,et al.  Adaptive control of flexible joint manipulators: Comments on two papers , 1995, Autom..

[5]  Frank L. Lewis,et al.  Neural Network Control Of Robot Manipulators And Non-Linear Systems , 1998 .

[6]  A. Isidori.  Nonlinear system I , 1999 .

[7]  Chung‐Cheng Chen.  Invented global exponential stabilizable rule of some class of nonlinear control systems and its practical application , 1999 .

[8]  Hong Qiao,et al.  Nonlinear measures: a new approach to exponential stability analysis for Hopfield-type neural networks , 2001, IEEE Trans. Neural Networks.

[9]  Alin Albu-Schäffer,et al.  A Unified Passivity-based Control Framework for Position, Torque and Impedance Control of Flexible Joint Robots , 2007, Int. J. Robotics Res..

[10]  Heidar Ali Talebi,et al.  A stable neural network-based observer with application to flexible-joint manipulators , 2006, IEEE Transactions on Neural Networks.

[11]  A Stochastic Tikhonov Theorem in Infinite Dimensions , 2006 .

[12]  Hamid D. Taghirad,et al.  Stability analysis and robust composite controller synthesis for flexible joint robots , 2006, Adv. Robotics.

[13]  Ferdinand Verhulst,et al.  Singular perturbation methods for slow–fast dynamics , 2007 .

[14]  Application of Tikhonov’s theorem for automatic stabilization of controlled motion , 2007 .