Recomendar este libro

Imprimir ficha del artículo

Comentarios (0)

Contenido

Over the years, paradigms have emerged to replace, or augment, the traditional, mathematically-based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes."Robust Control Systems with Genetic Algorithms" aims to build a bridge between genetic algorithms and the design of robust control systems. After laying a foundation in the basics of GAs and genetic programming, it demonstrates the power of these new tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also explores the application of hybrid approaches: how to enhance genetic algorithms and programming with fuzzy logic to design intelligent control systems. The authors consider a variety of applications, such as the optimal control of robotic manipulators, flexible links and jet engines, and illustrate a multi-objective, genetic algorithm approach to the design of robust controllers with a gasification plant case study.The authors are all experts in the field and aim to show the effectiveness of GA techniques. Their presentation is your opportunity to fully explore this cutting-edge approach to robust optimal control system design and exploit its methods for your own applications.

   INDICE: Over the years, paradigms have emerged to replace, or augment, thetraditional, mathematically-based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes.'Robust Control Systems with Genetic Algorithms' aims to build a bridge between genetic algorithms and the design of robust control systems. After laying a foundation in the basics of GAs and genetic programming, it demonstrates the power of these new tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also explores the application of hybrid approaches: how to enhance genetic algorithms and programming with fuzzy logic to design intelligent control systems. The authors consider a variety of applications, such as the optimal control of robotic manipulators, flexible links and jet engines, and illustrate a multi-objective, genetic algorithm approach to the design of robust controllers with a gasification plant case study.The authors are all experts in the field and aim to show the effectiveness of GA techniques. Their presentation is your opportunity to fully explore this cutting-edge approach to robust optimal control system design and exploit its methods for your own applications.

Detalles del artículo

• Páginas : 210
• Editorial : CRC Press
• Idioma : Inglés
• Fecha de Publicación : 01/10/2002
• ISBN: 9780849312519
• Serie: Control series
• Encuadernación : Cartoné
• Nº Volúmenes : 1
• País de Publicación : Estados Unidos
• Lugar de Publicación : Boca Raton