NDLI: Application of hybrid predictive control for intelligent buildings

Content Provider	IEEE Xplore Digital Library
Author	Kozak, S. Pytel, A. Drahos, P.
Copyright Year	2015
Description	Author affiliation: Inst. of automotive Mechatron., FEI STU, Bratislava, Slovakia (Kozak, S.; Pytel, A.; Drahos, P.)
Abstract	Recent technological innovations have caused increased interest in examining processes that have both continuous and discrete nature. Mathematical model of the process is traditionally associated with differential and difference equations typically derived from related physical laws. The paper deals with the advanced control design predictive strategy for hybrid systems in intelligent buildings consists of continuous - and discrete-time sub processes. A typical feature of hybrid systems is the interaction between continuous and discrete parts. Using hybrid control structure is one effective way to control such systems. A typical control structure is a two level computation structure. The upper level coordinates individual subsystems on the process level and derives the time and energy optimal switching control actions. Process level consists of individual subsystems which are controlled by discrete commands from the upper level such that the overall performance is achieved. Hybrid complex systems for intelligent buildings are working in multiple operating modes where each mode is controlled by its own dynamic characteristics. Transitions between modes are triggered when some state variable exceeds the threshold (state events), after expiration of specified time period (time events) or by external inputs (entry events).
Starting Page	203
Ending Page	208
File Size	345701
Page Count	6
File Format	PDF
ISBN	9781467366274
DOI	10.1109/PC.2015.7169963
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-09
Publisher Place	Slovakia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature measurement Buildings Heating Predictive models Thermostats Predictive control
Content Type	Text
Resource Type	Article

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