Robust State Estimation Observer Using Median for Outliers and Data-lost
نویسندگان
چکیده
منابع مشابه
Robust State Estimation with Sparse Outliers
One of the major challenges for state estimation algorithms, such as the Kalman lter, is the impact of outliers that do not match the assumed Gaussian process and measurement noise. When these errors occur they can induce large state estimate errors and even lter divergence. This paper presents a robust recursive ltering algorithm, the l1-norm lter, that can provide reliable state estimates in ...
متن کاملRobust state estimation in power systems using pre-filtering measurement data
State estimation is the foundation of any control and decision making in power networks. The first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. This paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...
متن کاملDiscard Estimation using Observer Data
The Northeast Fisheries Observer Program (NEFOP) has provided data on fish kept and discarded at sea from numerous vessels for over a decade. These data are commonly used to estimate the total discards of a species or stock by a given fleet. Many different methods can be used for this estimation. This paper explores six of the methods using actual observer data to create a known universe of tri...
متن کاملA Robust Adaptive Observer-Based Time Varying Fault Estimation
This paper presents a new observer design methodology for a time varying actuator fault estimation. A new linear matrix inequality (LMI) design algorithm is developed to tackle the limitations (e.g. equality constraint and robustness problems) of the well known so called fast adaptive fault estimation observer (FAFE). The FAFE is capable of estimating a wide range of time-varying actuator fault...
متن کاملrobust state estimation in power systems using pre-filtering measurement data
state estimation is the foundation of any control and decision making in power networks. the first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. this paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...
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: Transactions of the Society of Instrument and Control Engineers
سال: 2019
ISSN: 0453-4654,1883-8189
DOI: 10.9746/sicetr.55.245