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Robust Control Systems with Genetic Algorithms (Paperback)
Loot Price: R1,874
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Robust Control Systems with Genetic Algorithms (Paperback)
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In 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.
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