AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 151
... solved at each iteration of Algorithm IIP is Δε Q -H 0 HT GT 0 -G ( A ) -1Tk ] [ Az Δλ = - 0 _pk -rh −rk – tk + Okμk ( X * ) − 1e - ( 17 ) = H - - ( 19 ) −r1⁄2 + Go [ A * ( T® ) ~ 1 r $ + X * − okμk ( Th ) −1e ] ] Factorizations of ...
... solved at each iteration of Algorithm IIP is Δε Q -H 0 HT GT 0 -G ( A ) -1Tk ] [ Az Δλ = - 0 _pk -rh −rk – tk + Okμk ( X * ) − 1e - ( 17 ) = H - - ( 19 ) −r1⁄2 + Go [ A * ( T® ) ~ 1 r $ + X * − okμk ( Th ) −1e ] ] Factorizations of ...
Page 204
... solved explicitly using Dy- namic Programming ) . Conversion into a finite dimensional problem is possible in principle , but one is still faced with a very large problem in general . In the next three sections , we will present several ...
... solved explicitly using Dy- namic Programming ) . Conversion into a finite dimensional problem is possible in principle , but one is still faced with a very large problem in general . In the next three sections , we will present several ...
Page 222
... solved . The general use of any MPC strategy relying on global optimality seems to be pre- cluded . The most that can be hoped for in general is that every member of the problem sequence { P ( x , t ) } can be solved if the initial ...
... solved . The general use of any MPC strategy relying on global optimality seems to be pre- cluded . The most that can be hoped for in general is that every member of the problem sequence { P ( x , t ) } can be solved if the initial ...
Contents
Industry Assessment | 1 |
Predictive Control | 5 |
Adaptive and Nonlinear Control Fact or Fantasy? | 9 |
Copyright | |
22 other sections not shown
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