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Bio-Inspired Algorithms in PID Controller Optimization

This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms;

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Bio-Inspired Algorithms in PID Controller Optimization

This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms;

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Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. In general, the present book;

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Bio-Inspired Computation and Applications in Image Processing

Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image;

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Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Advances in Bio-inspired Combinatorial Optimization Problems illustrates several recent bio-inspired efficient algorithms for solving NP;

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Industrial PID Controller Tuning

Industrial PID Controller Tuning presents a different view of the servo/regulator compromise that has been studied for a long time;

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Industrial PID Controller Tuning

Industrial PID Controller Tuning presents a different view of the servo/regulator compromise that has been studied for a long time;

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Stability Analysis and Controller Design of Local Model Networks

optimization to calibrate stable state feedback as well as PID controller. The calibration of stable state-feedback controllers is based on the closed;

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Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems

This book covers controller tuning techniques from conventional to new optimization methods for diverse control engineering applications;

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Auto Tuning of PID And Fuzzy Controllers Using Genetic Algorithm

to a given optimization problem are exploited by determining the controller parameters of the PID and FLC controllers in order to meet;

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Wireless Sensor Networks

Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides an integrative overview of bio-inspired algorithms;

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Swarm Intelligence and Bio-Inspired Computation

Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as;

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Pid Control

computed and used in developing the PID controller. This book is ideal for individuals interested in learning the basics of designing a PID;

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Bio-Inspired Computing and Networking

advances in bio-inspired communication, computing, networking, clustering, optimization, and robotics, the book considers state-of-the-art;

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Bio-Inspired Computing and Networking

, novel technologies, and experimental studies, including bio-inspired: Optimization of dynamic NP-hard problems Top-down controller design for;

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Control of Unstable Single and Multi-Variable Systems

function models and simple methods of designing PID controllers for such systems. The controller design methods include equating coefficient method;

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Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip

Network on Chip (NoC) addresses the communication requirement of different nodes on System on Chip. The bio-inspired algorithms improve the;

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Bio-inspired Algorithms for Engineering

Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and;

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Applications of Evolutionary Computation

computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms;

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Applications of Evolutionary Computation

computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms;

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Applications of Evolutionary Computation

techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation;

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Applications of Evolutionary Computation

computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal;

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Applications of Evolutionary Computation

computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal;

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Introduction to Computational Mathematics

, optimization algorithms, stochastic models, nonlinear curve-fitting to data modelling, bio-inspired algorithms and swarm intelligence. This book;

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Recent Advances on Hybrid Approaches for Designing Intelligent Systems

of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to;

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Nature-Inspired Optimization Algorithms

superior in performance. Nature has a rich abundance of flora and fauna that inspired the development of nature inspired optimization techniques;

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Bio-Inspired Computing

The book deals with the recent innovations and applications of bio-inspired computing. Bio-inspired computational algorithms are an;

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