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

nonlinear chaotic systems and some applications; sliding mode control for fractional-order nonlinear systems based on disturbance observer;

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Sliding Mode Control Using MATLAB

filter and observer, sliding mode control for discrete systems, fuzzy sliding mode control, neural network sliding mode control, and sliding mode;

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Sliding Mode Control (SMC)

sliding mode control (I-SMC) for a variable speed wind turbine system and a I-SMC method for load frequency control (LFC) of nonlinear power;

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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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Nonlinear Pinning Control of Complex Dynamical Networks

This book presents two nonlinear control strategies for complex dynamical networks. First, sliding-mode control is used, and then 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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Advanced Sliding Mode Control for Mechanical Systems

Advanced Sliding Mode Control for Mechanical Systems: Design, Analysis and MATLAB Simulation takes readers through the basic concepts;

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Neural Network Control of Nonlinear Discrete-Time Systems

framework for implementing intelligent control in actual industrial systems using embedded hardware. Neural Network Control of Nonlinear Discrete;

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Advanced and Optimization Based Sliding Mode Control

A compendium of the authors' recently published results, this book discusses sliding mode control of uncertain nonlinear systems, with a;

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Advances in Discrete-Time Sliding Mode Control

: Focuses on LMI-based SMC (sliding mode control) for uncertain discrete-time system using novel nonlinear components in the control law;

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Advances in Discrete-Time Sliding Mode Control

: Focuses on LMI-based SMC (sliding mode control) for uncertain discrete-time system using novel nonlinear components in the control law;

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Nonlinear Control Systems using MATLAB (R)

The development of computer software for nonlinear control systems has provided many benefits for teaching, research, and the development;

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Nonlinear Control Systems using MATLAB (R)

The development of computer software for nonlinear control systems has provided many benefits for teaching, research, and the development;

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Sliding-Mode Fuzzy Controllers

This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how 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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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

networks in concert with adaptive techniques for system identification, state estimation, and control problems. The authors begin with a brief;

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Sliding Mode Control

This monograph presents a novel method of sliding mode control for switch-regulated nonlinear systems. The Delta Sigma modulation approach;

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Multi-Agent Systems

control and non-fragile quantized consensus for multi-agent systems. The main feature of this book is that distributed adaptive sliding mode;

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Multi-Agent Systems

control and non-fragile quantized consensus for multi-agent systems. The main feature of this book is that distributed adaptive sliding mode;

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Soft Computing with NeuroFuzzy Systems

neuro-fuzzy inference system for optimal design of reinforced concrete beams; comparison between neural network and adaptive neuro-fuzzy;

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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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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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Event-Triggered Sliding Mode Control

apply this method to nonlinear systems. The book primarily addresses research experts in the field of sliding mode control, but the book may;

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Sliding Mode Control Methodology in the Applications of Industrial Power Systems

This book presents recent advanced techniques in sliding mode control and observer design for industrial power systems, focusing on their;

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Sliding Mode Control Methodology in the Applications of Industrial Power Systems

This book presents recent advanced techniques in sliding mode control and observer design for industrial power systems, focusing on their;

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