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Considering the limitations of the four analyzed models, a nonlinear regression model was proposed.
With the two models, a nonlinear analysis of the seismic response of the Koyna Gravity Dam and the Dagangshan Arch Dam was conducted.
With these numerical models, a nonlinear dynamic analysis of a prototype building was conducted to investigate the seismic behavior of the new braced frame system.
Unlike linear models, a nonlinear mixed-effects model with the random parameters set to their expected value of 0 does not give unbiased estimates of the population mean (Meng and Huang 2009, p. 245).
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A sector nonlinearity method is first employed to model a nonlinear system.
Based on this model a nonlinear model predictive controller was designed showing good performance.
Then, relying on the calibrated model, a nonlinear model predictive controller and a moving horizon state estimator are designed.
From this model a nonlinear model-based controller is derived as the core of the proposed control system.
Based on a detailed mathematical model a nonlinear control strategy is developed.
Based on this model a nonlinear control design approach is performed applying the back-stepping methodology.
Based on the FEM model, a nonlinear observer is designed to estimate the cable configuration.
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