Journal ArticleDOI
Design of unknown input observers and robust fault detection filters
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TLDR
In this article, the authors proposed a new approach to design robust (in the disturbance de-coupling sense) fault detection filters which ensure that the residual vector, generated by this filter, has both robust and directional properties.Abstract:
Fault detection filters are a special class of observers that can generate directional residuals for the purpose of fault isolation. This paper proposes a new approach to design robust (in the disturbance de-coupling sense) fault detection filters which ensure that the residual vector, generated by this filter, has both robust and directional properties. This is done by combining the unknown input observer and fault detection filter principles. The paper proposes a new full-order unknown input observer, and gives necessary and sufficient conditions for its existence. After the disturbance de-coupling conditions are satisfied, the remaining design freedom can be used to make the residual have the directional property, based on the fault detection filter principle. A nonlinear jet engine system is used to illustrate the robust fault isolation approach presented. It is shown that linearization errors can be approximately treated as unknown disturbances and be de-coupled in the design of a robust fault detect...read more
Citations
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Journal ArticleDOI
Robust finite-time fault estimation for stochastic nonlinear systems with Brownian motions
Xiaoxu Liu,Zhiwei Gao +1 more
TL;DR: The convergence of the estimation error with respect to un-decoupled unknown inputs and Brownian perturbations is proven by using the derived stochastic input-to-state stability and finite-time stochastics input- to- state stability theorems.
Journal ArticleDOI
Technical Communique: Design of Fault Detection and Isolation Observers: A Matrix Pencil Approach
Ron J. Patton,M. Hou +1 more
TL;DR: This paper provides a new approach to the fault detection and isolation observer design based on an explicit decomposition of an extended matrix pencil containing all system matrices that is numerically reliable and has straightforward computer implementation.
Journal ArticleDOI
Unknown input observer-based robust adaptive funnel motion control for nonlinear servomechanisms
Journal ArticleDOI
Adaptive Sliding Mode Observer-Based Robust Fault Reconstruction for a Helicopter With Actuator Fault
TL;DR: In this article, an adaptive sliding mode observer is proposed such that the actuator fault can be reconstructed through the adaptive law online, based on linear matrix inequalities LMI, a feasible algorithm is explored to solve the designed parameters.
Journal ArticleDOI
An observer design procedure for a class of nonlinear time-delay systems
TL;DR: A reduced-order linear functional observer, with any prescribed stability margin, can be constructed by using a simple procedure to asymptotically estimate any vector state functionals in uncertain, nonlinear differential state delayed control systems.
References
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Book
Linear System Theory and Design
TL;DR: Striking a balance between theory and applications, Linear System Theory and Design, 3/e, is ideal for use in advanced undergraduate/first-year graduate courses in linear systems and multivariable system design in electrical, mechanical, chemical, and aeronautical engineering departments.
Journal ArticleDOI
Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results
TL;DR: In this article, the authors review the state of the art of fault detection and isolation in automatic processes using analytical redundancy, and present some new results with emphasis on the latest attempts to achieve robustness with respect to modelling errors.
Journal ArticleDOI
Paper: A survey of design methods for failure detection in dynamic systems
TL;DR: This paper surveys a number of methods for the detection of abrupt changes in stochastic dynamical systems, focusing on the class of linear systems, but the basic concepts carry over to other classes of systems.
A survey of design methods for failure detection in dynamic systems
TL;DR: A number of methods for detecting abrupt changes (such as failures) in stochastic dynamical systems are surveyed in this paper, where tradeoffs in complexity versus performance are discussed, ranging from the design of specific failure-sensitive filters, to the use of statistical tests on filter innovations, and the development of jump process formulations.
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