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Sampled-Data Models for Linear and Nonlinear Systems por Yuz, Juan I.

London : Springer London : Imprint: Springer, 2014.

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Online Damage Detection in Structural Systems Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters / por Eftekhar Azam, Saeed

Cham : Springer International Publishing : Imprint: Springer, 2014.

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Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables An Introduction for Ph.D. Students and Practitioners / por Couso, Inés

Cham : Springer International Publishing : Imprint: Springer, 2014.

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4

Tracking and Sensor Data Fusion Methodological Framework and Selected Applications / por Koch, Wolfgang

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.

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Sampled-Data Models for Linear and Nonlinear Systems por Yuz, Juan I.

Online Damage Detection in Structural Systems Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters / por Eftekhar Azam, Saeed

Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables An Introduction for Ph.D. Students and Practitioners / por Couso, Inés

Tracking and Sensor Data Fusion Methodological Framework and Selected Applications / por Koch, Wolfgang

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Sampled-Data Models for Linear and Nonlinear Systems por Yuz, Juan I.

Online Damage Detection in Structural Systems Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters / por Eftekhar Azam, Saeed

Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables An Introduction for Ph.D. Students and Practitioners / por Couso, Inés

Tracking and Sensor Data Fusion Methodological Framework and Selected Applications / por Koch, Wolfgang

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