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pro vyhledávání: '"Sameer Ralhan"'
Autor:
Thomas A. Badgwell, Sameer Ralhan
Publikováno v:
Computers & Chemical Engineering. 24:2533-2544
This paper presents a robust model predictive control (MPC) algorithm for stable, linear plants described by a state-space model. Model uncertainty is parameterized by an infinite-dimensional set of possible plants. Robust stability is achieved by ad
Autor:
Thomas A. Badgwell, Sameer Ralhan
Publikováno v:
Industrial & Engineering Chemistry Research. 39:2981-2991
This paper presents two robust model predictive control (MPC) algorithms for linear integrating plants described by a state-space model. The first formulation focuses on steady-state offset whereas the second minimizes output deviations over the enti
Autor:
Thomas A. Badgwell, Sameer Ralhan
Publikováno v:
IFAC Proceedings Volumes. 33:815-820
A robust MPC algorithm is formulated for systems described by a finite impulse response (FIR) model with a constant output disturbance. Uncertainty in the system is parameterized by ellipsoidal bounds on the FIR parameters. Cost function constraints
Autor:
Sameer Ralhan, Thomas A. Badgwell
Publikováno v:
Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).
A robust output disturbance rejection algorithm is presented for stable state-space systems. Cost function constraints are used to provide off-set free control. The steady-state properties of the algorithm are analyzed in the event of a constant outp
Conference
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