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Nonlinear Control Techniques for Robot Manipulators - Nonlinear Control of Mechatronic Systems with Applications in Robotics

redundant robot manipulators, ii) Neural network grasping controller for continuum robots, and iii) Coordination control for haptic and teleoperator;

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Neural Network Control of Nonlinear Discrete-Time Systems

. Progressive Development After an introduction to neural networks, dynamical systems, control of nonlinear systems, and feedback linearization, the;

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Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control;

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Neural Network Control Of Robots And Nonlinear Systems

. The first chapter provides a background on neural networks and the second on dynamical systems and control. Chapter three introduces the robot;

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Neural Networks Modeling and Control

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and;

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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to;

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Adaptive Neural Control of Walking Robots

of technological development: adaptive neural control and mobile/walking robots. The development and management of locomotory robots has not only produced;

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Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation

A treatise on investigating tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties;

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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

network-based control schemes. Each chapter starts with a concise introduction to the problem under study, and a neural network-based control;

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Bifurcation and Nonlinear Dynamics in Neural Network

dynamics and chaos into neural networks. In this book, a new type of neural network is introduced based on the nonlinear dynamics and chaos;

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Nonlinear Dynamical Systems

nonlinear input-output maps The development of robust controllers and filters The capability of neural networks to approximate functions and dynamic;

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Control of Self-Organizing Nonlinear Systems

international experts in the field. The first focus concerns recent methodological developments including control of networks and of noisy and time;

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Control of Self-Organizing Nonlinear Systems

international experts in the field. The first focus concerns recent methodological developments including control of networks and of noisy and time;

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Optimal Networked Control Systems with MATLAB

engineers, Optimal Networked Control Systems with MATLAB (R) instills a solid understanding of neural network controllers and how to build them.;

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Optimal Networked Control Systems With MATLAB

systems in input-output form enclosed by a communication network Addresses the stochastic optimal control of nonlinear NCS by using neuro dynamic;

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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to;

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Nonlinear Control and Filtering Using Differential Flatness Approaches

This monograph presents recent advances in differential flatness theory and analyzes its use for nonlinear control and estimation. It shows;

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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition;

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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition;

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Nonlinear Circuits and Systems for Neuro inspired Robot Control

This book guides readers along a path that proceeds from neurobiology to nonlinear-dynamical circuits, to nonlinear neuro-controllers and;

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Discrete-Time Recurrent Neural Control

The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple;

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Discrete-Time Recurrent Neural Control

The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple;

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Nonlinear Systems

: the control of nonlinear systems, geometric control theory, synchronization, coordinated control, convergent systems and the control;

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Advances in Computing Communication and Control

. The papers address issues such as AI, artificial neural networks, computer graphics, data warehousing and mining, distributed computing, geo;

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Neural Networks for Robotics

, control, sensing, planning, and other techniques by means of artificial neural networks for robotics.;

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Neural Networks for Robotics

The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost;

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Nonlinear Stochastic Systems with Network-Induced Phenomena

This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced;

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