DIFFERENTIAL NEURAL NETWORKS FOR ROBUST NONLINEAR CONTROL

DIFFERENTIAL NEURAL NETWORKS FOR ROBUST

📁 DIFFERENTIAL NEURAL NETWORKS FOR ROBUST NONLINEAR CONTROL

✍ Alexander S. Poznyak, Edgar N. Sanchez, Wen Yu 📂 Library 📅 2001 🏛 World Scientific Publishing Company 🌐 English

This volume 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 identified and controlled are assumed to be

Differential Neural Networks for Robust

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

✍ Alexander S. Poznyak, Edgar N. Sanchez, Wen Yu 📂 Library 📅 2001 🏛 World Scientific Publishing Company 🌐 English

This volume 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 identified and controlled are assumed to be

Adaptive Sliding Mode Neural Network Con

📁 Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

✍ Yang Li, Jianhua Zhang, Qiong Wu 📂 Library 📅 2018 🏛 Academic Press 🌐 English

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control methods, and applications in various fields. It offers instructive examples and simulations, along with the source codes, and provides the basic

Robust Receding Horizon Control for Netw

📁 Robust Receding Horizon Control for Networked and Distributed Nonlinear Systems

✍ Huiping Li, Yang Shi (auth.) 📂 Library 📅 2017 🏛 Springer International Publishing 🌐 English

This book offers a comprehensive, easy-to-understand overview of receding-horizon control for nonlinear networks. It presents novel general strategies that can simultaneously handle general nonlinear dynamics, system constraints, and disturbances arising in networked and large-scale systems an

📁 Neural networks for control

📂 Library 📅 1990 🏛 Cambridge, Mass. : MIT Press 🌐 English

xviii, 524 p. : 24 cm

Neural networks for control

📁 Neural networks for control

✍ W Thomas Miller; Richard S Sutton; Paul J Werbos; National Science Foundation ( 📂 Library 📅 1990 🏛 MIT Press 🌐 English