Virtual Sensors for the Functional Diagnosis of Nonlinear Systems
Alexey Zhirabok, Kim Chkhun Ir
Abstract
This paper considers the problem of constructing virtual sensors for the functional diagnosis of technical systems described by nonlinear models. Relationships to construct minimum-complexity sensors for estimating given components of the state vector are presented. The theoretical results are illustrated by an example.
Topics & Concepts
MechatronicsConstruct (python library)Nonlinear systemArtificial intelligenceRoboticsComputer scienceState (computer science)Control engineeringMachine learningAlgorithmEngineeringRobotProgramming languagePhysicsQuantum mechanicsFault Detection and Control SystemsAdvanced Data Processing TechniquesControl Systems and Identification