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Robust Control Systems with Genetic Algorithms (Control Series)

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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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Distributed Algorithms: An Intuitive Approach (The MIT Press)
Distributed Algorithms: An Intuitive Approach (The MIT Press)

A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation.

This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. It avoids mathematical...

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Systems Analysis and Design (Shelly Cashman Series)
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Discover a practical, streamlined, updated approach to information systems development that covers both traditional and emerging technologies and approaches to systems analysis and design. SYSTEMS ANALYSIS AND DESIGN, 11E offers a well-organized, streamlined approach. Chapter objectives are keyed directly to chapter headings, making content...


Programming Multicore and Many-core Computing Systems (Wiley Series on Parallel and Distributed Computing)
Programming Multicore and Many-core Computing Systems (Wiley Series on Parallel and Distributed Computing)

Programming multi-core and many-core computing systems

Sabri Pllana, Linnaeus University, Sweden

Fatos Xhafa, Technical University of Catalonia, Spain

Provides state-of-the-art methods for programming multi-core and many-core systems

The book comprises a selection of twenty two...

Data Protection
Data Protection

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Or rather, backup and recovery, as a standalone topic, no longer has relevance in IT. As a standalone topic, it’s been killed off by seemingly exponential growth in storage and data, by the cloud, and by virtualization.

So what is data...

Simplifying JavaScript: Writing Modern JavaScript with ES5, ES6, and Beyond
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The best modern JavaScript is simple, readable, and predictable. Learn to write modern JavaScript not by memorizing a list of new syntax, but with practical examples of how syntax changes can make code more expressive. Starting from variable declarations that communicate intention clearly, see how modern principles can improve all...

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