Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2011-07-26
2011-07-26
Holmes, Michael (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning task
Reexamination Certificate
active
07987145
ABSTRACT:
A model predictive controller (MPC) for predictive control of nonlinear processes utilizing an EKF (Extended Kalman Filter) and a nominal trajectory generator. The nominal trajectory generator includes another instance of EKF, a linear corrector, and a time-varying deviation model. A nominal control trajectory can be predicted and an optimal solution for the time-varying deviation model can be computed based on an approximation of a system inverse known as signal de-convolution. The EKF can be utilized to estimate a current process state by supplying a measured output and to predict a future nominal trajectory by supplying a reference output. A Kalman smoother can also be utilized for the signal de-convolution in order to obtain enhanced trajectory estimates.
REFERENCES:
patent: 5426732 (1995-06-01), Boies et al.
patent: 5740033 (1998-04-01), Wassick et al.
patent: 6056781 (2000-05-01), Wassick et al.
patent: 6532454 (2003-03-01), Werbos
patent: 6682669 (2004-01-01), Bulgrin et al.
patent: 6826521 (2004-11-01), Hess et al.
patent: 6980938 (2005-12-01), Cutler
patent: 7092863 (2006-08-01), Goldman et al.
patent: 7209938 (2007-04-01), Lipp
patent: 7263473 (2007-08-01), Cutler
patent: 7272454 (2007-09-01), Wojsznis et al.
patent: 7277779 (2007-10-01), Zima et al.
patent: 7716535 (2010-05-01), Cunningham et al.
patent: 2006/0287741 (2006-12-01), Cutler
patent: 2007/0050053 (2007-03-01), Cutler
patent: 2007/0225835 (2007-09-01), Zhu
On Markovian fragments of COCOLOG for logic control systems, Wei, Y.J.; Caines, P.E.; Decision and Control, 1992., Proceedings of the 31st IEEE Conference on Digital Object Identifier: 10.1109/CDC.1992.371269 Publication Year: 1992 , pp. 2967-2972 vol. 3.
The miniaturization technologies: past, present, and future, Frazier, B.; Friedrich, C.; Warrington, R.O.; Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on vol. 3 Digital Object Identifier: 10.1109/IECON.1994.398029 Publication Year: 1994 , pp. 1460-1465 vol. 3.
Adaptive CSI Prediction in Linear Multi-User MIMO Systems, Mielczarek, Bartosz; Krzymien, Witold A.; Vehicular Technology Conference Fall (VTC 2009—Fall), 2009 IEEE 70th Digital Object Identifier: 10.1109/VETECF.2009.5378981 Publication Year: 2009 , pp. 1-5.
Experiments with a target-threshold control theory model for deriving Fitts' law parameters for human-machine systems, Cannon, D.J.; Systems, Man and Cybernetics, IEEE Transactions on vol. 24 , Issue: 8 Digital Object Identifier: 10.1109/21.299694 Publication Year: 1994 , pp. 1089-1098.
Constrained Model Predictive Control: Stability and Optimality; D.Q. Mayne, J. B. Rawlings, C.V. Rao, P.O.M. Scokaert; www.elsevier.com/locate/automatica; Automatica 36 (2000) 789-814.
A Survey of Industrial Model Predictive Control Technology; S. Joe Qin, Thomas A. Badgwell; www.elsevier.com/locate/conengprac; Control Engineering Practice 11 (2003) 733-764.
Holmes Michael
Honeywell Internationa
Kaasch Tuesday A.
Lopez Kermit D.
Ortiz Luis M.
LandOfFree
Target trajectory generator for predictive control of... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Target trajectory generator for predictive control of..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Target trajectory generator for predictive control of... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2708214