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During model training, the output of KF is delivered to FOS to build the nonlinear model.
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A procedure based on interval analysis is proposed to build a guaranteed qLPV (quasi-Linear Parameter-Varying) approximation of the nonlinear model.
We then built a set of models in which one (or all) of the parameters of the nonlinear model were allowed to have different values for each pre-mating or mating experimental groups, and used log-likelihood tests to compare these models with a model in which the parameters had a single value for all experimental groups.
Next, a heuristic optimization technique namely Teaching-Learning-Based-Optimization (TLBO) is adopted to tune the nonlinear parameters in the RBF neurons to build the optimized model.
In the first strategy, which we term 'J-learning,' one builds an empirical nonlinear model using closed-loop test data and performs dynamic programming with it to derive an improved control policy.
We built deterministic nonlinear models for the damage-recovery dynamics that produce response surfaces describing killing/recovery rate Cu-pulse interate Cu-pulseinterval
An exact fuzzy observer model using sector nonlinearity was built for both nonlinear models; the observer gains were designed using Linear Matrix Inequalities (LMI's).
Wainright built the first model.
In this paper, support vector regression (SVR) is used to build the 2-by-2 nonlinear dynamic model of a HVAC system.
Their ability to build reliable nonlinear acoustic model predictions will be tested for the active noise cancellation in a laboratory setup emulating the interior of a train coach.
The other category builds the model directly.
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