Opis
This work delves into the complexities of fuzzy control and filtering, specifically in the context of uncertain fuzzy systems. The authors, experts in control theory and engineering, explore innovative methodologies to design robust and effective controllers and filters that can handle the inherent uncertainties found in fuzzy systems. Their research is grounded in advanced mathematical frameworks, allowing for a thorough examination of system behaviors and responses.
Through a blend of theory and practical applications, the authors aim to equip readers with valuable insights into optimizing control systems that rely on fuzzy logic. The book serves as a comprehensive resource for academics and practitioners alike, presenting a synthesis of current trends and future directions in fuzzy control. As engineers grapple with increasingly complex systems, this text offers the tools necessary to navigate and harness the power of fuzzy logic for real-world applications.
Through a blend of theory and practical applications, the authors aim to equip readers with valuable insights into optimizing control systems that rely on fuzzy logic. The book serves as a comprehensive resource for academics and practitioners alike, presenting a synthesis of current trends and future directions in fuzzy control. As engineers grapple with increasingly complex systems, this text offers the tools necessary to navigate and harness the power of fuzzy logic for real-world applications.
Szczegóły książki
Format
eBook
Strony
176 stron
Język
Angielski
Opublikowany
Jan 10, 2010
Wydawca
Springer
ISBN-10
1280951850
ISBN-13
9781280951855