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Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking Book

Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking
Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking, This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be , Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking has a rating of 2.5 stars
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Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking, This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be , Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking
2.5 out of 5 stars based on 2 reviews
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  • Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking
  • Written by author W Yu
  • Published by World Scientific Publishing Company, Incorporated, January 2001
  • "This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be
  • "This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be
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Book Categories

Authors

Theoretical Study: Neural Networks Structures
Nonlinear System Identification: Differential Learning
Sliding Mode Identification: Algebraic Learning
Neural State Estimation
Passivation via Neuro Control
Neuro Trajectory Tracking
Neurocontrol Applications: Neural Control for Chaos
Neuro Control for Robot Manipulators
Identification of Chemical Processes
Neuro Control for Distillation Column
General Conclusions and Future Work
Some Useful Mathematical Facts
Elements of Qualitative Theory of ODE
Locally Optimal Control and Optimization


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Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking, This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be , Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking

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Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking, This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be , Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking

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Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking, This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be , Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking

Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking

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