6533b86dfe1ef96bd12c9765

RESEARCH PRODUCT

A Fuzzy Adaptive Controller for an Ambient Intelligence Scenario

Antonio PellegrinoAlessandra De PaolaGiuseppe Lo Re

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFuzzy ruleAmbient intelligenceAmbient IntelligencePervasive SystemsComputer scienceReal-time computingControl reconfigurationControl engineeringEnergy consumptionOntology (information science)Fuzzy logicControl theoryMembership function

description

The definition of effective energy saving strategies capable of satisfying users’ requirements for environmental wellness is a complex task that requires the definition of well-tuned optimization algorithms. Sensory information depends on the environments observed, hence the model adopted to describe it should be adaptive and dynamic. This chapter presents a methodology for the tuning of a fuzzy controller capable of minimizing energy consumption while maximizing the users comfort in an Ambient Intelligence Scenario. A meta-heuristic search algorithm produces different sets of fuzzy rules depending on the needs of the system. An ontology has been developed to describe the configurations of environments and user requirements, thus enabling automatic reconfiguration of the whole system.

yearjournalcountryeditionlanguage
2014-01-01
https://doi.org/10.1007/978-3-319-03992-3_4