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Optimal Sequence-Based Control and Estimation of Networked Linear Systems

Fischer, J.; Reinhardt, M.; Hanebeck, U. D.

In this paper, a unified approach to sequence-based control and estimation of linear networked systems with multiple sensors is proposed. Time delays and data losses in the controller-actuator-channel are compensated by sending sequences of control inputs. The sequence-based design paradigm is further extended to the sensor-controller-channels without increasing the load of the network. In this context, we present a recursive solution based on the Hypothesizing Distributed Kalman Filter (HKF) that is included in the overall sequence-based controller design.

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Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Forschungsbericht/Preprint
Publikationsdatum 21.11.2012
Sprache Englisch
Identifikator KITopen-ID: 1000120265
Umfang 13 S.
Nachgewiesen in arXiv
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