Multivariable Control Engineering Problems and their Solutions with GNU Octave
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 29 September 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031954078
- Binding Hardback
- No. of pages293 pages
- Size 235x155 mm
- Language English
- Illustrations XXIII, 293 p. 58 illus., 51 illus. in color. Illustrations, black & white 700
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Long description:
"
This problem and solution-oriented textbook covers standard control engineering tasks as well as advanced modern control techniques. Throughout, students are provided examples of control engineering problems with step-by-step solutions. Each chapter addresses basic ideas, key control concepts, and definitions and provides a compilation of theoretical results used for the solution of the problems. The book is aimed not only at engineering students and practitioners but also computer science students and software engineers who, for instance, are working on the design of autonomous cars or with digital twins and need some knowledge of basic control concepts and advanced modern control techniques. The book addresses graduate students and readers in the overlap of engineering and computer science. The book aims to further their understanding of theoretical results learned in undergraduate control classes or in textbooks; the book shows them how to apply their knowledge in exercises to small problems and to see how some examples of problems can be solved. Whenever possible, the problems have been solved by means of the open-source software GNU Octave. In some cases, also the free open-source mathematical software Scilab has been used.
- Provides problems and solutions for standard control engineering tasks and advanced modern control techniques;
- Provides a collection of examples of control engineering problems with step-by-step solutions;
- Addresses control concepts and provides a compilation of theoretical results used for the solution of the problems.
Table of Contents:
Introduction.- Multiple Input Multiple Output Systems.- State Observability.- State Controllability.- Decomposition of an LTI system into subsystems.- Minimal State-Space Realisation of a Transfer Function Matrix.- Stability of Multivariable Systems.- Closed Loop Stability.- State Feedback.- Optimal control.- Robust Control.- Linear Convex Optimisation.- Conclusion.
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