Adaptive sliding mode control based on friction compensation for opto-electronic tracking system using neural network approximations

This publication has 29 references indexed in Scilit:

• An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances
  Neural Networks, 2014
• Adaptive sliding mode control of dynamic system using RBF neural network
  Nonlinear Dynamics, 2012
• Direct adaptive neural control for strict-feedback stochastic nonlinear systems
  Nonlinear Dynamics, 2011
• Observer-based adaptive fuzzy-neural control for a class of uncertain nonlinear systems with unknown dead-zone input
  ISA Transactions, 2010
• Precise position control of tubular linear motors with neural networks and composite learning
  Control Engineering Practice, 2010
• Adaptive robust control of linear motors with dynamic friction compensation using modified LuGre model
  Automatica, 2009
• Direct adaptive fuzzy control of nonlinear strict-feedback systems
  Automatica, 2009
• Neural network compensation control for mechanical systems with disturbances
  Automatica, 2009
• Adaptive robust control of mechanical systems with non-linear dynamic friction compensation
  International Journal of Control, 2008
• A globally stable saturated desired compensation adaptive robust control for linear motor systems with comparative experiments
  Automatica, 2007