Sentence examples for model based inverse from inspiring English sources

In this context, firstly, a new fuzzy model based inverse controller design methodology is presented in this study.

The new fuzzy model based inverse control scheme with the new online adaptation mechanism has been implemented and tested on the two real time processes; namely, heat transfer and pH processes and very satisfactory results has been reported.

The more sophisticated models have been proposed, including the diffuse approximation model [ 11], the Monte Carlo (MC) based inverse model [ 12], the optical pathlength estimation model [ 13, 14], and the empirical model [ 15, 16].

This paper introduces how a probability concept based inverse modeling method – the adjoint probability method – can be used to assist in designing a high-performance IAQ sensor network and identifying potential contaminant source locations for an entire building based on limited sensor outputs.

Therefore, the final model was a linear mixed-effects model based on the inverse transformation of cambial age, taxon and aspect.

A kinetic mathematical model based on the inverse dynamics approach was applied in Bodybuilder to calculate kinetic values [ 26].

An inverse model based on the standard gradient-based technique is formulated to compare with the proposed solver.

An inverse model based controller application is presented in this paper.

In addition, the LS-SVM inverse model based feedforward control combined with an incremental proportional integral derivative (PID) feedback control is designed to compensate the hysteresis nonlinearity.

Model based control schemes use inverse dynamics of the robot arm to produce the main torque component necessary for trajectory tracking.

Results from simulations and experiments show that the practical compensation using left inverse model based on RBF-NN in dynamic thrust measuring system can yield high tracking accuracy than the conventional methods.