h predictive fuzzy control scheme is presented particularly emphasizing the adaptaion mechanism for the knowledge basesd 1 inguis t i c predict ion mode 1.An adaptation mechanism is derived based on a set of fuzzy dynamical equations according to the mathematical dynamical system theory.As an application of the scheme, a road tunnel ventilation control system is described, which has revealed much better control performance in terms of regulating the air quality in the tunnel as well as reducing the electrical energy for the ventilation through the actual experiences. PLANT
This paper presents an approach to support the MDA like design of component based distributed applications through the provision of a suitable MOF based modeling infrastructure. This infrastructure is open to a variety of modeling techniques and features the transformation of models based on different meta models. As a concrete example, we will show how EDOC and CCM can be integrated with this modeling infrastructure and consequently how EDOC models are transformed to CCM models
e e d b a c k c o n t r o l a r o u n d t h e o p e r a t i n g p o i n t s , which absorbs estimate e r r o r and s m a l l v a r i a t i o n i n consumption. The scheme has been realized by a minicomputer system and i s p r e s e n t l y i n o p e r a t i o n . 1. I n t r o d u c t i o n Owing t o i n c r e a s i n g u r b a n i z a t i o n , s c a r c i t y o f w a t e r r e s o u r c e s h a s become a s e r i o u s p r o b l e m i n u r b a n areas. Minimizing of water waste i s u r g e n t l y n e e d e d . Consumers want t o r e c e i v e w a t e r w i t h h i g h p r e s s u r e , b u t e x c e s s p r e s s u r e c a u s e s w a t e r l e a k a g e f r o m p i p e j u n ct i o n s . It i s g e n e r a l l y t h o u g h t t h a t 20% of a l l t h e w a t e r i n t h e d i s t r i b u t i o n s y s t e m i s l o s t t h r o u g h l e a k a g e . F o r t h i s r e a s o n , p r e s s u r e m u s t b e r e g u l a t e d o r d i s t r i b u t i o n s y s t e m s h a v e b e e n s t u d i e d . However, t h e s e s t u d i e s [l-41 have not aimed a t r e g u l a t i n g p r e s s u r e , b u t r a t h e r a t s c h e d u l i n g t h e o p e r a t i o n s o f r e s e r v o i r s and pumping devices for economical dispatch. For the purpose, i t is n o t n e c e s s a r y t o d e a l w i t h p r e c i s e p r e s s u r e , l i n e a r i t y c a n s o m e t i m e s b e assumed ( s e e [ 2 ] ) , and r e d u c t i o n o f t h e c o m p u t a t i o n a l time i s n o t c r i t i c a l . T h i s p a p e r p r e s e n t s a modelling technique and c o n t r o l s c h e m e f o r p r e s s u r e ( a s w e l l a s f l o w ) r e g u l at i o n w h i c h s o l v e s t h e a b o v e -m e n t i o n e d l a r g e -s c a l e nonl i n e a r p r o b l e m . A system model must be realized in minimum o r d e r f o r c o n t r o l p u r p o s e s . The net:--ork aggregation method makes s u c h m o d e l l i n g p o s s i b l e . To overcome n o n l i n e a r i t y , a two-level control scheme i s i n t r o d u c e d , w h i c h c o n s i s t s of t h e s e t t i n g o f o p e r a t i n g p o i n t s a n d t h e f e e d b a c k c o n t r o l a r o u n d them. A very f a s t o p t i m i z a t i o n t e c h n i q u e t o d e t e r m i n e o p e r a t i n g p o i n t s i s derived from network flow theory, making onl i n e c o n t r o l p o s s i b l e . T h e f o l l o w i n g s e c t i o n s d e s c r i b e t h e m o d e l l i n g t e c h n i q u e and t h e c o n t r o l scheme a l o n g w i t h some implementation experience. This scheme has been CH1788-9/82/0000-0362$00.75@ 1982 IEEE 362 r e a l i z e d by a minicomputer system with telemetry d e v i c e s and i s p r e s e n t l y i n o p e r a t i o n . 2 . Modelling of Distribution Systems 2 . 1 System Equations A w a t e r d i s t r i b u t i o n s y s t e m is a n e t w o r k , t h e a r c s of which are pipes and the nodes of which a r e r e s e r v o i r s , c o n s u m p t i o n p o i n t s a n d p i p e j u n c t i o n s . Pressure and flow on t h e n e t w o r k a r e...
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