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Control Systems Benchmarks

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Control Systems Benchmarks Synopsis

Control Systems Benchmarks helps control engineers, researchers, and students to evaluate and compare control system performance across a range of critical applications by offering a collection of real-world benchmarks. The book brings together challenges from diverse fields like power grids, robotics, automotive systems, and industrial processes, giving readers practical tools to test their control methods in realistic settings.

Organized into two blocks, the book first tackles process control, covering dynamic and large-scale problems such as load-frequency control in power grids and wastewater-treatment-plant automation. The second block explores robotics and vehicles, focusing on areas like fault-tolerant control of quadrotors and lateral stability in electric vehicles. Each benchmark presents complex engineering challenges, allowing readers to experiment with various control approaches.

This book is set apart by the consistent structure of its chapters, which enables readers to adapt benchmarks for their own systems easily. Each chapter includes:

  • a brief overview of the benchmark, highlighting its significance and technical hurdles;
  • a detailed problem description, including engineering goals and constraints;
  • experimental setup, performance metrics, and data collection methods;
  • downloadable materials and instructions for running simulations or accessing physical platforms; and
  • a discussion of existing solutions, case studies, and open challenges to inspire further research.

Whether you're a practitioner, an academic researcher, or a student eager to deepen your understanding of control systems, Control Systems Benchmarks offers practical insights and valuable resources to advance your work.

About This Edition

ISBN: 9783031763113
Publication date:
Author: José M Maestre, Carlos OcampoMartinez
Publisher: Springer an imprint of Springer Nature Switzerland
Format: Hardback
Pagination: 215 pages
Series: Advances in Industrial Control
Genres: Automatic control engineering
Cybernetics and systems theory
Optimization
Computer modelling and simulation

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