Distributed information-weighted Kalman consensus filter for sensor networks
نویسندگان
چکیده
منابع مشابه
Design of Instrumentation Sensor Networks for Non-Linear Dynamic Processes Using Extended Kalman Filter
This paper presents a methodology for design of instrumentation sensor networks in non-linear chemical plants. The method utilizes a robust extended Kalman filter approach to provide an efficient dynamic data reconciliation. A weighted objective function has been introduced to enable the designer to incorporate each individual process variable with its own operational importance. To enhance...
متن کاملInformation Weighted Consensus for Distributed Estimation in Vision Networks
OF THE DISSERTATION Information Weighted Consensus for Distributed Estimation in Vision Networks
متن کاملdesign of instrumentation sensor networks for non-linear dynamic processes using extended kalman filter
this paper presents a methodology for design of instrumentation sensor networks in non-linear chemical plants. the method utilizes a robust extended kalman filter approach to provide an efficient dynamic data reconciliation. a weighted objective function has been introduced to enable the designer to incorporate each individual process variable with its own operational importance. to enhance the...
متن کاملStability of consensus extended Kalman filter for distributed state estimation
The paper addresses consensus-based networked estimation of the state of a nonlinear dynamical system. The focus is on a family of distributed state estimation algorithms which relies on the extended Kalman filter linearization paradigm. Consensus is exploited in order to fuse the information, both prior and novel, available in each network node. It is shown that the considered family of distri...
متن کاملConsensus+Innovations Distributed Kalman Filter with Optimized Gains
In this paper, we address the distributed filtering and prediction of time-varying random fields represented by linear time-invariant (LTI) dynamical systems. The field is observed by a sparsely connected network of agents/sensors collaborating among themselves. We develop a Kalman filter type consensus+innovations distributed linear estimator of the dynamic field termed as Consensus+Innovation...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Automatica
سال: 2017
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2016.11.014