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Model predictive control (MPC) has become the most popular advanced control method in use today. Its main attractive features are (i) optimization of a model forecast over the available actuators (ii)...
We tackle the network selection problem in operator-initiated mobile data offloading by considering both the predictive and non-predictive cases. For the non predictive case, we use the Lyapunov optim...
Motivated by the increasing popularity of learning and predicting human user behavior in communication and computing systems, in this paper, we investigate the funda-mental benefit of predictive sched...
Knowledge-based predictive mapping is a kind of mapping approach which links the existing geo-spatial data and knowledge to predict the status of unknown geographical phenomena. The knowledge reflects...
Information about hydrological systems and water table fluctuations is important for water management and is needed to assess choices for long-term water management policy. Preferably, uncertainty abo...
Integrated transport, land-use and air quality monitoring are prioritized especially in metropolitan areas. The complexity is straight forward, since data, indicators, variables, methods and approache...
A widely recognized shortcoming of model predictive control (MPC) is that it can usually only be used in applications with slow dynamics, where the sample time is measured in seconds or minutes. A wel...
We consider the control of a commercial multi-zone refrigeration system, consisting of several cooling units that share a common compressor, and is used to cool multiple areas or rooms. In each time p...
We consider the operation of a wind turbine and a connected local battery or other electrical storage device, taking into account varying wind speed, with the goal of maximizing the total energy gener...
Attention acts, through cortical feedback pathways, to enhance the response of cells encoding expected or predicted information. Such observations are inconsistent with the predictive coding theory of...
A predictive model for mineral potential mapping based on fuzzy set theory is described. It is tested in the south-central part of the Aravalli province (western India), which hosts a number of confo...
This approach integrates the tools of Geographic Information Systems (GIS) and remotely sensed imagery to map land use change in two Provinces of Thailand from 1979 to 1999, and then uses a statistica...
The modelling or prediction of complex geospatial phenomena (like formation of geo-hazards) is one of the most important tasks for geoscientists. But in practice it faces various difficulties, caused ...
In the present investigation, the data sets of (Non Communicable Diseases) NCD risk factors a standard report of Saudi Arabia 2005 in collaboration with World Health Organisation have been employed fo...

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