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Our research is aimed at both lighting designers seeking to quantitatively predict real-world controller behavior, and control algorithm researchers seeking to visualize results and explore design tradeoffs in realistic use cases.
Thus, accurate mechanical modeling and detailed controller behavior is essential for accurate path planning and control design of robots.
This may lead to doubts about the controller behavior under true operating conditions.
The controller behavior during tracking of smooth position references has been experimentally tested.
This implementation can then be used to simulate the controller behavior, thus further enhancing confidence in the design.
Table 1 Spring mass dashpot system (SMD system) and P controller Behavior End effector Arm Forearm Mean value SMD system 0.0252 0.0257 0.0248 0.0252 P controller 0.0759 0.0759 0.0759 0.0759.
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Section 4 illustrates various aspects of the controller behaviors with co-simulation conducted based on Matlab and AMESim.
To additionally stabilize the video-level controller, asymmetric control behavior is imposed, so that when a low video level is measured (dark object entered the area of interest), the controller responds rapidly and the image intensity increases to enable a better visualization of the object of interest.
The application enable users to explore the controllers behavior, tune controllers with aid of displaying and comparing simulation results, validate mathematical models of the particular building, etc.
SOFLCs provide a qualitative adaptive control mechanism for adjusting the controller's behavior through the adaptation of initial expert derived rules that are trained to approximate a desired control behavior.
In the virtual human controller, the behavior was executed during the defined duration of each action.
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