Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems
SpringerBriefs in Optimization

Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems

A Metaheuristic Approach

    • USD 49.99
    • USD 49.99

Descripción editorial

This book covers controller tuning techniques from conventional to new optimization methods for diverse control engineering applications. Classical controller tuning approaches are presented with real-world challenges faced in control engineering. Current developments in applying optimization techniques to controller tuning are explained. Case studies of optimization algorithms applied to controller tuning dealing with nonlinearities and limitations like the inverted pendulum and the automatic voltage regulator are presented with performance comparisons. Students and researchers in engineering and optimization interested in optimization methods for controller tuning will utilize this book to apply optimization algorithms to controller tuning, to choose the most suitable optimization algorithm for a specific application, and to develop new optimization techniques for controller tuning.

GÉNERO
Ciencia y naturaleza
PUBLICADO
2021
6 de enero
IDIOMA
EN
Inglés
EXTENSIÓN
111
Páginas
EDITORIAL
Springer International Publishing
VENDEDOR
Springer Nature B.V.
TAMAÑO
5.2
MB

Más libros de Maude Josée Blondin

Intelligent Control and Smart Energy Management Intelligent Control and Smart Energy Management
2022
Computational Intelligence and Optimization Methods for Control Engineering Computational Intelligence and Optimization Methods for Control Engineering
2019

Otros libros de esta serie

Derivative-free DIRECT-type Global Optimization Derivative-free DIRECT-type Global Optimization
2023
Optimization in Banach Spaces Optimization in Banach Spaces
2022
The Krasnosel'skiĭ-Mann Iterative Method The Krasnosel'skiĭ-Mann Iterative Method
2022
A Derivative-free Two Level Random Search Method for Unconstrained Optimization A Derivative-free Two Level Random Search Method for Unconstrained Optimization
2021
Algorithm Portfolios Algorithm Portfolios
2021
Bayesian and High-Dimensional Global Optimization Bayesian and High-Dimensional Global Optimization
2021