Mar 7, 2018 · To tackle the unknown quantities in the gain matrix, a nonlinear equation is introduced and its solution is taken as the estimate of unknown ...
Adopting the same strategy for the dynamic systems with unknown inputs or disturbances, we provide two applications of the proposed state estimation algorithm.
The nonlinear algorithm of state estimation is obtained. Presented approach can be used both in control systems and decision procedures in tracking systems.
This paper considers a probabilistic approach to state estimation for discrete-time dynamic systems with unknown inputs. A variational Bayes method is ...
Missing: Process | Show results with:Process
This thesis is on state estimation for various system and measurement models with uncertain dynamics. The uncertain dynamics may be due to imprecise system ...
Missing: Process | Show results with:Process
State Estimation for Dynamic Systems With Unknown Process Inputs and Applications. S. Hu, J. Zhou, and C. Chen. IEEE Access, (2018 ).
This paper proposes a sliding mode observer for the estimation of the state variables and the reconstruction of the unknown inputs of nonlinear dynamical ...
Oct 22, 2024 · In this paper, the extended Kalman filter (EKF) technique for dynamic state es-timation of a synchronous machine using phasor measurement unit (PMU) quantities ...
In this paper the application of a PI observer technique to dynamical systems with nonlinearities is proposed. The PI observer has two feedback loops, ...
Sanfeng Hu, Jie Zhou , Chen Chen: State Estimation for Dynamic Systems With Unknown Process Inputs and Applications. IEEE Access 6: 14857-14869 (2018).