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OverviewIn recent years, new 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 builds 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 masters in the field and clearly show the effectiveness of GA techniques. Their presentation is your first opportunity to fully explore this cutting-edge approach to robust optimal control system design and exploit its methods for your own applications. Full Product DetailsAuthor: Mo Jamshidi , Renato A. Krohling , Leandro dos S. Coelho , Peter J. FlemingPublisher: Taylor & Francis Inc Imprint: CRC Press Inc Volume: 3 Dimensions: Width: 15.60cm , Height: 1.80cm , Length: 23.40cm Weight: 0.590kg ISBN: 9780849312519ISBN 10: 0849312515 Pages: 228 Publication Date: 14 October 2002 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsThe book is well written and recommended for control engineers and graduate students who face complex optimization problems and have interest to update traditional robust controllers with GA based controllers. - International Journal of Robust and Nonlinear Control, Vol. 15, No. 7, May 2005 """The book is well written and recommended for control engineers and graduate students who face complex optimization problems and have interest to update traditional robust controllers with GA based controllers."" - International Journal of Robust and Nonlinear Control, Vol. 15, No. 7, May 2005" Author InformationJamshidi, Mo; Krohling, Renato A.; dos S. Coelho, Leandro; Fleming, Peter J. Tab Content 6Author Website:Countries AvailableAll regions |