Parity equations-based unknown input reconstruction for MIMO stochastic systems with an application
From MaRDI portal
Publication:5265691
DOI10.1080/00207179.2013.838700zbMath1317.93235OpenAlexW2003463885MaRDI QIDQ5265691
Małgorzata Sumisławska, K. J. Burnham, Tomasz Larkowski
Publication date: 28 July 2015
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207179.2013.838700
Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Stochastic systems in control theory (general) (93E03)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unbiased minimum-variance input and state estimation for linear discrete-time systems
- State and unknown input estimation for linear discrete-time systems
- Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough
- A new structural framework for parity equation-based failure detection and isolation
- Unknown-state, unknown-input reconstruction in discrete-time nonminimum-phase systems: geometric methods
- Input observability and input reconstruction
- Unbiased minimum variance estimation for systems with unknown exogenous inputs
- Sliding mode observers for fault detection and isolation
- Robust two-stage Kalman filters for systems with unknown inputs
- Recursive Estimation and Time-Series Analysis
- Analytical redundancy and the design of robust failure detection systems
- A geometric approach to the synthesis of failure detection filters
- Design of observers for linear systems with unknown inputs
- Stable inversion of linear systems
- Stable proper nth-order inverses
- Optimal filtering for systems with unknown inputs
- Optimal residual design for fault diagnosis using multi-objective optimization and genetic algorithms
- On the Inverse of Linear Dynamical Systems
- Errors-in-variables methods in system identification
