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

. Based on the approximation ability of the neural network (NN), the adaptive neural control schemes are reported for uncertain fractional-order;

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

stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the;

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Adaptive Control

sliding mode control for under-actuated mechanical systems; neural network adaptive PID control design based on PLC for a water-level system; and;

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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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Optimal Networked Control Systems with MATLAB

formulation for linear systems in input-output form enclosed by a communication network Addresses the stochastic optimal control of nonlinear;

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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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Neural Networks Modeling and Control

control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order;

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Model-Based Control Of Networked Systems

controlled over networks The MB-NCS approach to decentralized control of distributed systems Model-Based Control of Networked Systems will appeal;

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Adaptive Regulation

to the problems of asymptotic rejection/tracking of a priori uncertain exogenous signals for linear and nonlinear plants with known and;

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Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear System

This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the;

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Deep Reinforcement Learning with Guaranteed Performance

control method based on the Taylor expansion, neural networks, estimator design approaches, and the idea of sliding mode control, focusing on the;

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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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Soft Computing with NeuroFuzzy Systems

diagnosis system based on artificial neural network (ANN); reliability estimation of services oriented systems using adaptive neuro fuzzy inference;

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Nonlinear and Adaptive Control Systems

techniques to analyse nonlinear systems. Therefore it is natural to treat adaptive control as a part of nonlinear control systems. Nonlinear and;

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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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Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics

Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling;

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Operator-Based Nonlinear Control Systems Design And Applicat

stability result, a critical factor in any nonlinear control system's stability and performance. Operator-Based Nonlinear Control Systems: Design;

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AI based Robot Safe Learning and Control

This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic;

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Adaptive Aeroservoelastic Control

the uncertain aeroelastic dynamics * Covers both linear and nonlinear control methods in a comprehensive manner * Mathematical presentation;

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Adaptive Learning Methods for Nonlinear System Modeling

prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power;

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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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Control Systems

. Also, control systems based on artificial neural networks, fuzzy logic, and genetic algorithms, termed as AI-based systems are studied and;

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Adaptive Neural Control of Walking Robots

An important title in the Engineering Research Series Adaptive Neural Control of Walking Robots brings together two important areas;

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Stability Analysis of Markovian Jump Systems

systems, the robust adaptive control scheme for a class of nonlinear uncertain MJSs, the practical stability of MJSs and its applications as a;

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