M
M. Hou
Researcher at University of Hull
Publications - 7
Citations - 46
M. Hou is an academic researcher from University of Hull. The author has contributed to research in topics: Fault detection and isolation & Observability. The author has an hindex of 4, co-authored 7 publications receiving 44 citations.
Papers
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Journal ArticleDOI
On Sensitivity of Robust Fault Detection Observers
Ron J. Patton,M. Hou +1 more
TL;DR: In this paper, a sensitivity measure of robust fault observers is proposed, which is proved to be a well-defined norm, and a design method for sensitive/robust fault detection observers has been introduced.
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Tracking Control for a Class of Descriptor Systems
M. Hou,Peter C. Müller +1 more
TL;DR: The standard tracking control is extended to the quasi-causal descriptor systems to solve the tracking problem, linear quadratic (LQ control) is considered as well and the proposed controller design is based on the numerically reliable decomposition of the staircase form of matrix pencils.
Journal ArticleDOI
A Matrix Pencil Approach to Fault Detection and Isolation Observers
Ron J. Patton,M. Hou +1 more
TL;DR: In this article, a new approach to the definition and determination of detectability and isolability of faults in dynamic systems is proposed based on an explicit decomposition of an extended matrix pencil containing all system matrices.
Journal ArticleDOI
Observer-Based Strategies for Fault Diagnosis in a Three-Tank System
M. Hou,Ron J. Patton +1 more
TL;DR: In this article, a non-linear observer-based approach to fault detection and isolation of the benchmark of a three-tank system is proposed. But the authors focus on the nonlinear observer approach and do not consider the fault detection in the benchmark.
Journal ArticleDOI
Fault Observability and Fault Reconstruction for Dynamic Systems
Ron J. Patton,M. Hou +1 more
TL;DR: In this paper, the problem of fault observability and fault reconstruction for linear time-invariant systems is addressed using a matrix pencil decomposition form which is obtainable using numerically stable orthogonal transformations.