Title :
State-Space Modelling of Anticipatory Behaviour for Self-Adaptability with Applications to Biosensors
Author_Institution :
Sch. of Eng., Liverpool JM Univ., Liverpool
Abstract :
There are applications where a system may be required to perform multi-functional tasks simultaneously. A key challenge of multi-tasking is the ability of the system to maintain consistent and satisfactory performance, under conflicting functional requirements as well as previously unseen events. Such requirements and events could be imposed by internal processes (system related property) or/and external processes (environment related property). This paper introduces a predictive analytical model that allows a system to change state (e.g. physical property), with the objective of mitigating unwarranted events (i.e. events leading to undesirable functional behaviour).
Keywords :
biosensors; state-space methods; anticipatory behaviour; biosensors; environment related property; multifunctional tasks; predictive analytical model; satisfactory performance; state-space modelling; system related property; Adaptive systems; Analytical models; Biosensors; Clinical diagnosis; Electrooptical waveguides; Hardware; Maintenance engineering; NASA; Optical waveguides; Predictive models; State-space; anticipatory behaviour; predictive;
Conference_Titel :
Adaptive Hardware and Systems, 2008. AHS '08. NASA/ESA Conference on
Conference_Location :
Noordwijk
Print_ISBN :
978-0-7695-3166-3
DOI :
10.1109/AHS.2008.23