"This book is about nonlinear observability. It provides a modern theory of observability based on a new paradigm borrowed from theoretical physics. Notably, it presents the first general analytic solution of a very complex open problem: the nonlinear Unknown Input Observability…
"This book is about nonlinear observability. It provides a modern theory of observability based on a new paradigm borrowed from theoretical physics. Notably, it presents the first general analytic solution of a very complex open problem: the nonlinear Unknown Input Observability…
"This book is about nonlinear observability. It provides a modern theory of observability based on a new paradigm borrowed from theoretical physics. Notably, it presents the first general analytic solution of a very complex open problem: the nonlinear Unknown Input Observability…
"This book focuses on the control and state estimation problems for dynamical network systems with complex samplings subject to various network-induced phenomena. It includes a series of control and state estimation problems tackled under the passive sampling fashion. Further, i…
"This book focuses on the control and state estimation problems for dynamical network systems with complex samplings subject to various network-induced phenomena. It includes a series of control and state estimation problems tackled under the passive sampling fashion. Further, i…
Observability is critical for building, changing, and understanding the software that powers complex modern systems. Teams that adopt observability are much better equipped to ship code swiftly and confidently, identify outliers and aberrant behaviors, and understand the experie…
This practical book explains the value of observable systems and shows you how to practice observability-driven development. Observability is critical for building, changing, and understanding the software that powers complex modern systems. Teams that adopt observability are mu…
Observability is critical for building, changing, and understanding the software that powers complex modern systems. Teams that adopt observability are much better equipped to ship code swiftly and confidently, identify outliers and aberrant behaviors, and understand the experi…
This book discusses various methods for designing different kinds of observers, such as the Luenberger observer, unknown input observers, discontinuous observers, sliding mode observers, observers for impulsive systems, observers for nonlinear Takagi-Sugeno fuzzy systems, and ob…
"This book analyzes the latest methods in the design of filters for system modeling, state estimation and fault detection with the intention of providing a new perspective of both theoretical and practical aspects. The book also includes fault diagnosis techniques for unknown bu…
"This book analyzes the latest methods in the design of filters for system modeling, state estimation and fault detection with the intention of providing a new perspective of both theoretical and practical aspects. The book also includes fault diagnosis techniques for unknown bu…
"This book analyzes the latest methods in the design of filters for system modeling, state estimation and fault detection with the intention of providing a new perspective of both theoretical and practical aspects. The book also includes fault diagnosis techniques for unknown bu…
