ProceedingsIEEE, 1997 - Artificial intelligence |
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Page 71
Optimal Model Matching with Disturbance Rejection for the Non- minimum Phase Plants Xudong Wu , Xueshu Xie and ... optimal ( or perfect ) model matching control system with minimal weighted sensitivity to disturbance is considered in ...
Optimal Model Matching with Disturbance Rejection for the Non- minimum Phase Plants Xudong Wu , Xueshu Xie and ... optimal ( or perfect ) model matching control system with minimal weighted sensitivity to disturbance is considered in ...
Page 304
... optimal control policies for manufacturing systems . The evolutionary procedure is illustrated by synthesising optimal control policies for a manufacturing system previously considered in the context of genetic synthesis . The ...
... optimal control policies for manufacturing systems . The evolutionary procedure is illustrated by synthesising optimal control policies for a manufacturing system previously considered in the context of genetic synthesis . The ...
Page 539
... optimal states optimal states non - optimal state sub - optimal states optimal states m8 m1 t12 113 t15 t1 m2 m3 t12 tl t12 t15 t12 m9 ( m10 m5 m4 t18 112 18 112 ( m11 m6 t8 t8 m7 t10 m1 +12 t13 115 m12 m19 t12 m2 m3 m4 11 t13 115 t12 ...
... optimal states optimal states non - optimal state sub - optimal states optimal states m8 m1 t12 113 t15 t1 m2 m3 t12 tl t12 t15 t12 m9 ( m10 m5 m4 t18 112 18 112 ( m11 m6 t8 t8 m7 t10 m1 +12 t13 115 m12 m19 t12 m2 m3 m4 11 t13 115 t12 ...
Contents
Innovations in Design and Integrated | 1 |
Creative and Innovative Manufacturing | 4 |
Y Fan and C Wu Tsinghua Univ | 7 |
Copyright | |
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according activities algorithm allows analysis application approach architecture assembly ATRT Automation called communication complete components considered constraints control system cost customers decision defined described determined dispatching distributed dynamic effective Engineering enterprise environment error estimated example exists Figure fixture flexible flow function given implementation important improvement industrial input integration interaction interface INTRODUCTION knowledge lead learning load locating machine manuals manufacturing means measurements method nets object obtained operation optimal output parameters performance Petri planning plant position possible presented problem proposed prototype real-time reference represents requirements robot rules scheduling selected sequence server shown shows simulation solution specific standard station structure task token tool transition unit University virtual