Predictive Control methods for Building Control and Demand Response
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In many control problems the measurement instances might not be available in a periodically-equally-distributed way and/or the same might occur to the control signals. Moreover, due to the sensor evaluation time, calibration of actuators and sensors, or re ...
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A predictive optimal control system for micro-cogeneration in domestic applications has been developed. This system aims at integrating stochastic inhabitant behavior and meteorological conditions as well as modeling imprecisions, while defining operation s ...
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Research in artificial intelligence and bioinspired algorithms is still being actively pursued in different fields of engineering. In this work, Brain Emotional Learning Based Intelligent Controller (BELBIC) is applied for real time positioning of laborato ...
Research in artificial intelligence and bioinspired algorithms is still being actively pursued in different fields of engineering. In this work, Brain Emotional Learning Based Intelligent Controller (BELBIC) is applied for real time positioning of laborato ...
This paper describes how an undergraduate control course is enhanced with Sysquake interactive applications. Basic concepts in control theory, different ways to assess performance and robustness of a controlled system, and limits of closed-loop systems are ...
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Current practice in building simulation is to use historic climate data which has been measured in rural locations. However, numerous measurement programs have demonstrated that the urbanrural temperature difference can be of several degrees Kelvin, with c ...