A fuzzy adaptive controller for an Ambient Intelligence Scenario

Abstract

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 themodel adopted to describe it should be adaptive and dynamic. This chapter presents a methodology for the tuning of a fuzzy controller capable ofminimizing energy consumptionwhile maximizing the users comfort in an Ambient Intelligence Scenario.Ameta-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. © Springer International Publishing Switzerland 2014.