This book investigates the design of controllers and filters for systems exhibiting uncertainty, specifically within the framework of fuzzy logic. The author, Wudhichai Assawinchaichote, draws upon expertise in control engineering to address the challenges posed by imprecise system models. The work focuses on developing robust methodologies that can effectively manage and compensate for unknown parameters or variations in fuzzy systems, aiming to achieve stable and predictable performance.

The book is likely to be regarded as a specialized academic text for researchers and advanced students in control engineering and applied mathematics. Its focus on fuzzy logic and uncertainty suggests a rigorous, theoretical approach, potentially appealing to those working on advanced control strategies for complex or ill-defined systems. The content would likely be dense, requiring a solid foundation in control theory and fuzzy set theory.