This book presents a concise and application-oriented introduction to advanced system theory for robust control. Based on a short course delivered at several universities, the book is designed for master's and PhD students, researchers, and practicing engineers, and provides a direct and accessible pathway into modern automatic control.
The text is organized into two complementary parts. The first introduces the fundamental concepts of classical system theory and control. The second develops advanced topics in optimal and robust control, including network-theoretic perspectives. The book also covers examples in the area of model order reduction (MOR) and bridges the gap between electrical network theory and automatic control applications. To support both learning and implementation, numerous worked examples using MATLAB code are included, as well as exercises at the end of each chapter, with full solutions provided in Essential Elements of Advanced System Theory for Robust Control: Supplementary Guide. The presentation is intentionally self-contained, requiring only a basic background in system analysis and elementary circuit theory.
Focused, compact, and practical, this volume serves both as a graduate-level reference and as a useful guide for engineers involved in industrial control applications. Although the treatment is restricted to continuous linear time-invariant systems, the material also provides a solid foundation for readers interested in extending the theory to discrete-time frameworks.
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