A binary relation inference network .2. State-space techniques
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AbstractConstraint satisfaction problems, commonly found in time/location referencing, database maintainence and air-traffic control applications, can be efficiently handled by a recently proposed binary relation inference network. There are some intrinsic weaknesses underlying this type of discrete-time inference network; namely, network instability and oscillation and the slow convergence rate commonly observed in large networks. Previous studies in network behaviour relied on ad hoc simulation; this paper describes some analytical methods to refine the conditions which characterize asymptotic network behaviours. State-space techniques are used to describe dynamic behaviours, and provide the necessary mathematical tools to understood and explain network performance.
All Author(s) ListLam KP
Journal nameInternational Journal of Systems Science
Volume Number27
Issue Number4
Pages399 - 404
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesAutomation & Control Systems; AUTOMATION & CONTROL SYSTEMS; Computer Science; Computer Science, Theory & Methods; COMPUTER SCIENCE, THEORY & METHODS; Operations Research & Management Science; OPERATIONS RESEARCH & MANAGEMENT SCIENCE

Last updated on 2020-26-03 at 02:38