Title :
Modelling of Anticipatory Behaviour for Self-Control and Adaptability with Applications to Autonomous Systems
Author_Institution :
LJMU, Liverpool
Abstract :
A system or a process could be viewed as a set of events being executed in a particular manner to satisfy certain objectives. The assertion and execution of an event(s) may be governed by a set of parameters, internal and external to the system. Variation in parameters may impair the functionality of the system, with potentially undesirable consequences. To allow for self-control and adaptability of a system to mitigate the effect of abnormal events - caused by unwarranted parameter changes - there is a need for a predictive model to determine the system´s future behaviour. This paper presents an analytical method to predict system behaviour related to anticipation of certain events.
Keywords :
predictive control; self-adjusting systems; autonomous systems; system adaptability; system self-control; unwarranted parameter changes; Analytical models; Bioelectric phenomena; Electric potential; Environmentally friendly manufacturing techniques; Fluctuations; Industrial pollution; Intelligent systems; Predictive models; Security; Signal processing;
Conference_Titel :
Bio-inspired, Learning, and Intelligent Systems for Security, 2007. BLISS 2007. ECSIS Symposium on
Conference_Location :
Edinburgh
Print_ISBN :
0-7695-2919-4
DOI :
10.1109/BLISS.2007.15