In this work some multi-model and norm based approaches for Integrated Design of processes and constrained Model Predictive Control systems have been proposed.
We stress the necessity of augmenting climate-level uncertainties of emission scenario, multi-model, and natural variability with uncertainties arising due to non-linearities in smaller-scale processes.
The paper proposed to apply a hierarchical fuzzy-neural multi-model and Takagi Sugeno (T S) rules with recurrent neural procedural consequent part for systems identification, states estimation and adaptive control of complex nonlinear plants.
The proposed concept moves towards a new paradigm of material and process selection and design by developing and implementing an integrated multi-disciplinary, multi-model and multi-field approach together with its software tool implementation for an accurate, reliable, efficient and cost effective prediction, design, fabrication, Life Cycle Engineering (LCE), cost analysis and decision making.
The present study attempts to estimate the timing of thermal settlement hazard onset in the QTEC by using multi-model and multi-scenario soil temperature data from CMIP5 climate models.
The e-kmf® global forecast system uses a multi-model and ensemble technique (Goddard et al. 2001; Mason et al. 1999) to develop the meteorological prediction of temperature from the short-medium term (typically 1 10 days) to the long-term (~2 12 weeks) forecasts (Reichler and Roads 2004).
Azaron et al. (2008) proposed a multi-commodity, multi-source model and solved it by the goal attainment technique.
For this second step we tested a multi group model and its fit parameters.
Compliance comparison between multi-spring model and finite-element analysis is conducted.
They formulated a multi-objective model and solved it using an evolutionary algorithm.
"We need to move towards a more sophisticated, multi-touch model and figure out how to accrue value at each touch point".
