Data processing: structural design – modeling – simulation – and em – Modeling by mathematical expression
Reexamination Certificate
2006-12-19
2006-12-19
Frejd, Russell (Department: 2128)
Data processing: structural design, modeling, simulation, and em
Modeling by mathematical expression
C700S030000, C700S031000, C700S033000, C706S021000, C708S446000
Reexamination Certificate
active
07152023
ABSTRACT:
An active set algorithm exploits a ‘hot start’ for the set of binding constraints at optimality along with efficient linear algebra to make rapid progress towards the solution. The linear algebra is designed to deal with degenerate constraints as the required factorizations are performed and as degeneracy emerges, and not via a mostly unnecessary pre-process step. Combined together, these novel approaches enable solution of the control problem in real-time.
REFERENCES:
patent: 5394322 (1995-02-01), Hansen
patent: 5682309 (1997-10-01), Bartusiak et al.
patent: 6064809 (2000-05-01), Braatz et al.
patent: 6330483 (2001-12-01), Dailey
patent: 6439469 (2002-08-01), Gruber et al.
patent: WO 02/097540 (2002-12-01), None
Kassidas et al., A. Integrating Process and Controller Models for the Design of Self-Optimizing Control, Computers & Chemical Engineering, vol. 24, No. 12, Dec. 2000, pp. 2589-2602.
Bartlett et al., R.A. Quadratic Programming Algorithms for Large-Scale Model Predictive Control, Journal of Process Control. vol. 12, No. 7, Oct. 2002, pp. 775-795.
Van Antwerp et al., J.G. Model Predictive Control of Large Scale Processes, Journal of Process Control, vol. 10, No. 1, Feb. 2000, pp. 1-8.
Stephanopoulos et al., G. Multi-Scale Aspects in Model-Predictive Control, Journal of Process Control, vol. 10, Nos. 1-3, Apr. 2000, pp. 275-282.
Diehl et al., M. Real-Time Optimization and Nonlinear Model Predictive Control of Processes Governed by Differential-Algebraic Equations, Journal of Process of Process Control, vol. 12, No. 4, Jun. 2002, pp. 577-585.
Afshari et al., A. A Fuzzy Model-Based Optimal Control Strategy, Proceedings of the 1994 ACM Symposium on Applied Computing, ACM Press, Apr. 1994, pp. 120-125.
Scokaert et al., P.O.M. Constrained Linear Quadratic Regulation, IEEE Transactions on Automatic Control, vol. 43, No. 8, August 1998, pp. 1163-1169.
Bartlett et al., R.A. Active Set vs. Interior Point Strategies for Model Predictive Control, Proceedings of the 2000 American Control Conference, vol. 6, Jun. 2000, pp. 4229-4233.
Kouvaritakis et al., C.M. Efficient Active Set Optimization in Triple Mode MPC, IEEE Transactions on Automatic Control, vol. 46, No. 8, Aug. 2001, pp. 1307-1312.
Search Report EP04250825.
Horowitz B et al., “Quadratic Programming Solver For Large-Scale Structural Optimization Using SQP Algorithm”Selection of contributed papers presented at the International.
Conference on computational structures technology and International Conference on engineering computational technology, Sep. 6, 2000, pp. 79-84.
Li W C et al., “A Multistep, Newton-Type Control Strategy For Constrained, Nonlinear Processes”, Proceedings of the American control Conference. Pittsburgh, Jun. 21-23, 1989, New York IEE, US, vol. 2 conf. 8, pp. 1526-1527.
Recht P: “Identifying Non-Active Restrictions In Convex Quadratic Programming”, Mathematical Methods Of Operations Research, Physica Verlag, Heidelberg, DE, vol. 54, No. 1, 2001, pp. 53-61.
Carlson & Gaskey & Olds
Frejd Russell
United Technologies Corporation
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