Design and implementation of a bond-graph observer for robot control
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Cited by (9)
Bond Graph modeling for fault detection and isolation of a train door mechatronic system
2016, Control Engineering PracticeCitation Excerpt :As the modeling of train doors involves several domains of energy, the Bond Graph has been chosen for this study. Among the other multiple benefits provided by the Bond Graph formalism, it allows both causal and behavioral process analysis (Gawthrop, 1991; Borutzky, Dauphin-Tanguy & Thoma, 1995) and it is a graphical tool well adapted for diagnosis (Merzouki, Medjaher, Djeziri & Ould-Bouamama, 2007; Ould Bouamama, Medjaher, Bayart, Samantaray & Conrard, 2005; Samantaray, Medjaher, Ould Bouamama, Staroswiecki & Dauphin-Tanguy, 2006; Roberts, Balance & Gawthrop, 1995; Samantaray & Ghoshal, 2008). Compared to the conventional modeling approaches, the use of Bond Graph model allows dealing with structural control properties (controllability, observability, and invertibility) that are deduced from the causality relationships between causes and effects.
Modeling of musculoskeletal structure and function using a modular bond graph approach
2003, Journal of the Franklin InstitutePhysical interpretation of inverse dynamics using bicausal bond graphs
2000, Journal of the Franklin InstituteDiagnosis of reverse osmosis desalination water system using bond graph approach
2018, Turkish Journal of Electrical Engineering and Computer SciencesControl of compliant legged quadruped robots in the workspace
2015, SIMULATIONReal-time monitoring and diagnosis of a train door mechatronic system
2014, MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings