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Nature-Inspired Computing for Control Systems

Overview of attention for book
Nature-Inspired Computing for Control Systems
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 The Power of Natural Inspiration in Control Systems
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    Chapter 2 Bioinspired Control Method Based on Spiking Neural Networks and SMA Actuator Wires for LASER Spot Tracking
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    Chapter 3 The Spread of Innovatory Nature Originated Metaheuristics in Robot Swarm Control for Smart Living Environments
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    Chapter 4 Evolutionary Modeling of Industrial Plants and Design of PID Controllers
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    Chapter 5 Designing Fuzzy Controller for a Class of MIMO Nonlinear Systems Using Hybrid Elite Genetic Algorithm and Tabu Search
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    Chapter 6 Neural Network Fitting for Input-Output Manifolds in Constrained Linear Systems
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    Chapter 7 Adaptive Neuro-Fuzzy Controller of Induction Machine Drive with Nonlinear Friction
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    Chapter 8 Fuzzy Logic Sugeno Controller Type-2 For Quadrotors Based on Anfis
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    Chapter 9 Mobile Robot with Movement Detection Controlled by a Real-Time Optical Flow Hermite Transform
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    Chapter 10 Evolutionary Function Approximation for Gait Generation on Legged Robots
Attention for Chapter 2: Bioinspired Control Method Based on Spiking Neural Networks and SMA Actuator Wires for LASER Spot Tracking
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