Sentence examples for modelling errors and from inspiring English sources

Mathematical modelling and updating of damped dynamic systems that involve some modelling errors and subsequent analysis based on those errors will lead to inaccuracy in the results.

The basic idea of our study is to use an optimal residual generator (assuming no modelling errors) as the reference residual model of the robust fault detection filter design for uncertain LTI systems with modelling errors and, based on it, to formulate the robust fault detection filter design as an H∞ model-matching problem.

We propose methods for modelling errors and resolving conflicts among beliefs.

A state feedback control is adopted to compensate the modelling errors and the derivative of desired fin angle.

The uncertainties including the modelling errors and the environmental disturbances induced by waves are considered in the cascaded roll system.

Moreover, the suggested scheme is especially useful when robust solutions are considered for minimising the effects of modelling errors and noise, while maximising fault sensitivity.

This design method includes three steps: (1) derivation of a mathematical model using the step response data via the Laguerre network representation, (2) quantification of the modelling error, and (3) design of an internal model controller with consideration for robust stability and performance.

First, the causes of SOC errors, for example, modelling error and uncertain initial error, are studied.

In such a situation, control of both modelling error and discretisation error for the quantities of interest is required.

In the ideal case where there is no modelling error and the signal for parameter learning is persistently exciting, perfect tracking is ensured.

These different methods comprise linear and nonlinear filters, neural networks and unknown input Kalman filters, that can achieve disturbance signal de-coupling and robustness properties with respect to modelling error and sensor measurement noise.