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Models and controllers developed at the tertiary level follow the standard market-clearing procedure that aims at social-welfare maximization.
The MATLAB-SIMULINK® platform is used in the development and implementation of the models and controllers.
To represent such highly nonlinear behavior and to provide effective runtime control, the design, integration and self-management (automatic switching) of multiple system models and controllers are required.
A multiple-model approach is used in which models and controllers are developed for various points in the payload range and then blended into a single global controller.
The composite sets of models and controllers are then consolidated jointly using a recent singular value-based method, resulting in an unified fuzzy structure.
Symbolic models and controllers are based on abstractions of continuous dynamics where one symbol corresponds to an aggregate of continuous states.
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The effectiveness of the proposed model and controllers is tested through numerical simulation and experimentation.
In the simulation structure shown in Figure 4b, "Cars" are simulated by the SUMO model and "Controllers" are originally built in the form of a Simulink model.
The idea behind the MVC design model is that an application consists of three components: a Model, Views of the Model, and Controllers.
The framework of the proposed RTCDSS includes affiliated models, views and controllers for clinical informatics and implements Web services for online analytical process (OLAP).
The spacecraft modeling and controller synthesis methods are discussed, and a controller implementation for an on-orbit control experiment is presented with simulation results.
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