Buchdetails
Format
Taschenbuch
Seiten
203
Sprache
Englisch
Veröffentlicht
Jan 1, 1987
Verlag
Society for Industrial and Applied Mathematics
ISBN-10
0898714850
ISBN-13
9780898714852
Beschreibung
Stephen Boyd explores the intricate relationship between linear matrix inequalities (LMIs) and their applications in system and control theory. The work serves as a comprehensive guide for those looking to navigate the complexities of this mathematical framework. Through a series of engaging examples and rigorous explanations, the author reveals how LMIs can be leveraged to tackle a plethora of challenges within the field.
As the narrative unfolds, readers are introduced to the foundational concepts of LMIs, demonstrating their versatility and effectiveness in formulating and solving various optimization problems. The text delves into the interplay between algebra and geometry inherent in LMIs, illustrating their ability to simplify seemingly intractable problems.
With a strong emphasis on practical applications, Boyd expertly intertwines theory with real-world scenarios. This connection not only enriches the reader's understanding but also showcases the transformative power of LMIs in design, analysis, and control of complex systems.
Ultimately, the work serves as an essential resource for students, researchers, and practitioners alike, providing the insights necessary to harness the power of linear matrix inequalities in advancing their understanding of system and control theory. Boyd's approach demystifies the subject, making it accessible to a broad audience eager to explore the potential of this mathematical toolset.
As the narrative unfolds, readers are introduced to the foundational concepts of LMIs, demonstrating their versatility and effectiveness in formulating and solving various optimization problems. The text delves into the interplay between algebra and geometry inherent in LMIs, illustrating their ability to simplify seemingly intractable problems.
With a strong emphasis on practical applications, Boyd expertly intertwines theory with real-world scenarios. This connection not only enriches the reader's understanding but also showcases the transformative power of LMIs in design, analysis, and control of complex systems.
Ultimately, the work serves as an essential resource for students, researchers, and practitioners alike, providing the insights necessary to harness the power of linear matrix inequalities in advancing their understanding of system and control theory. Boyd's approach demystifies the subject, making it accessible to a broad audience eager to explore the potential of this mathematical toolset.