<P><STRONG>Filter Design for System Modeling, State Estimation and Fault Diagnosis</STRONG> 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.<BR>This book also includes fault diagnosis techniques for unknown but bounded systems, their real applications on modeling and fault diagnosis for lithium battery systems, DC-DC converters and spring damping systems. It proposes new methods based on zonotopic Kalman filtering, a variety of state estimation methods of zonotope and its derived algorithms, a state estimation method based on convex space, set inversion interval observer filtering-based guaranteed fault estimation and a novel interval observer filtering-based fault diagnosis. <BR>The methods presented in this text are more practical than the common probabilistic-based algorithms, since these can be applied in unknown but bo
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<p><i>Battery System Modeling</i> provides advances on the modeling of lithium-ion batteries. Offering step-by-step explanations, the book systematically guides the reader through the modeling of state of charge estimation, energy prediction,...
kr 1599.00
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<P><STRONG>Winner of the 2020 IDEC award</STRONG></P><P><EM>Homelessness and the Built Environment</EM> provides a practical introduction to the effective physical design of homes and other facilities that assist...
kr 425.00
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