Optimally robust redundancy relations for failure detection in uncertain systems
Automatica (Journal of IFAC)
Nonlinear control systems: an introduction (2nd ed.)
Nonlinear control systems: an introduction (2nd ed.)
Automatica (Journal of IFAC)
On the representation of sensor faults in fault detection filters
Automatica (Journal of IFAC)
Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, 3/e (Undergraduate Texts in Mathematics)
A Method for Sensor Placement Taking into Account Diagnosability Criteria
International Journal of Applied Mathematics and Computer Science - Issues in Fault Diagnosis and Fault Tolerant Control
International Journal of Applied Mathematics and Computer Science - Semantic Knowledge Engineering
Integrated Design of Observer Based Fault Detection for a Class of Uncertain Nonlinear Systems
International Journal of Applied Mathematics and Computer Science - Issues in Advanced Control and Diagnosis
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The problem of fault detection and isolation in nonlinear uncertain systems is studied within the scope of the analytical redundancy concept. The problem solution involves checking the redundancy relations existing among measured system inputs and outputs. A novel method is proposed for constructing redundancy relations based on system models described by differential equations whose right-hand sides are polynomials. The method involves a nonlinear transformation of the initial system model into a strict feedback form. Algebraic and geometric tools are used for this transformation. The features of the method are made particular for uncertain systems with a linear structure.