Nature-Inspired Computing for Control Systems

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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 10: Evolutionary Function Approximation for Gait Generation on Legged Robots

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Citations

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Nature-Inspired Algorithms from Oceans to Space: A Comprehensive Review of Heuristic and Meta-Heuristic Optimization Algorithms and Their Potential Applications in Drones

Article in Drones (June 2023)

A perceptive watermarking approach applied to COVID-19 imaging data

Conference proceeding in Proceedings of SPIE--the International Society for Optical Engineering (November 2020)

Context‐based automation of critical infrastructure systems for efficiency, stakeholder equity, and resilience

Article in Systems Engineering (August 2020)

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