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Sensor Intrusion Detection In Control Systems Using Estimation Theory, Jiayi Su
Sensor Intrusion Detection In Control Systems Using Estimation Theory, Jiayi Su
Master's Theses (2009 -)
In this thesis, two different approaches to sensor intrusion detection are presented. In the first approach, an estimation algorithm using a bank of Kalman Filters is designed that is capable of estimating the intrusion signal when sensors are affected in control systems. The mathematical models of the control system will be established and the system measurement will be shown and after that, various false signals, such as constant-type and ramp-type signal, will be selected as the intrusion signal to affect the system output mentioned above. The system measurement will be tested based on a bank of Kalman Filters. The probabilities …
State Estimation For Various Systems With Partially Unknown Dynamics, Abdulelah Rajeh Alshareef
State Estimation For Various Systems With Partially Unknown Dynamics, Abdulelah Rajeh Alshareef
Master's Theses (2009 -)
This thesis is on state estimation for various system and measurement models with uncertain dynamics. The uncertain dynamics may be due to imprecise system modeling or change in parameters due to varying environmental conditions. Uncertainty may be a result of malicious acts such as hacking of sensors or actuators in the system. Uncertainty may also be a result of external disturbances whose waveforms, magnitudes and arrival times may not be known. These types of model uncertainties will be considered and different estimators will be implemented to deal with such uncertainties in state estimation. In this thesis, for linear stochastic systems …