Kalman filtering with inequality constraints for turbofan engine health estimation

Aircraft Turbofan Engine Health Estimation Using Constrained Kalman Filtering

Kalman filters are often used to estimate the state variables of a dynamic system. However, in the application of Kalman filters some known signal information is often either ignored or dealt with heuristically. For instance, state variable constraints (which may be based on physical considerations) are often neglected because they do not fit easily into the structure of the Kalman filter. This...

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H∞ Filtering with Inequality Constraints for Aircraft Turbofan Engine Health Estimation

H∞ filters (also called minimax filters) can estimate the state variables of a dynamic system. However, in the application of state estimators, some known signal information is often either ignored or dealt with heuristically. For instance, state variable constraints (which may be based on physical considerations) are often neglected because they do not fit easily into the structure of state es...

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Constrained Kalman filtering via density function truncation for turbofan engine health estimation

Kalman filters are often used to estimate the state variables of a dynamic system. However, in the application of Kalman filters some known signal information is often either ignored or dealt with heuristically. For instance, state variable constraints (which may be based on physical considerations) are often neglected because they do not fit easily into the structure of the Kalman filter. This...

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Discussion on: "Kalman Filter Constraint Switching for Turbofan Engine Health Estimation"

Kalman filters are often used to estimate the state variables of a dynamic system. However, in the application of Kalman filters some known signal information is often either ignored or dealt with heuristically. For instance, state variable constraints (which may be based on physical considerations) are often neglected because they do not fit easily into the structure of the Kalman filter. Rece...

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Kalman Filtering with Equality and Inequality State Constraints

Both constrained and unconstrained optimization problems regularly appear in recursive tracking problems engineers currently address – however, constraints are rarely exploited for these applications. We define the Kalman Filter and discuss two different approaches to incorporating constraints. Each of these approaches are first applied to equality constraints and then extended to inequality co...

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Kalman filtering with inequality constraints for turbofan engine health estimation

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منابع مشابه

Aircraft Turbofan Engine Health Estimation Using Constrained Kalman Filtering

H∞ Filtering with Inequality Constraints for Aircraft Turbofan Engine Health Estimation

Constrained Kalman filtering via density function truncation for turbofan engine health estimation

Discussion on: "Kalman Filter Constraint Switching for Turbofan Engine Health Estimation"

Kalman Filtering with Equality and Inequality State Constraints

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