NDLI: Short horizon nonlinear model predictive control

Content Provider	IEEE Xplore Digital Library
Author	Soroush, M. Kravaris, C.
Copyright Year	1995
Description	Author affiliation: Dept. of Chem. Eng., Drexel Univ., Philadelphia, PA, USA (Soroush, M.)
Abstract	This article concerns nonlinear model predictive control of the multivariable, open-loop stable processes whose delay-free part is minimum-phase. The control law is derived by using a discrete-time state-space formulation and the shortest "useful" prediction horizon for each controlled output. This derivation allows to establish the theoretical connections between the derived nonlinear model predictive control law and the discrete-time globally linearizing control, and to deduce the conditions for nominal closed-loop stability under the model predictive control law. Under the nonlinear model predictive controller, the closed-loop system is partially governed by the zero dynamics of the process, which is the nonlinear analog of placing a subset of closed-loop poles at the zeros of a process by a model algorithmic controller.
Starting Page	943
Ending Page	948
File Size	788518
Page Count	6
File Format	PDF
ISBN	0780325508
DOI	10.1109/CCA.1995.555881
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-09-28
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Predictive control Stability Chemical engineering Open loop systems Poles and zeros Performance analysis Trajectory Solid modeling Delay
Content Type	Text
Resource Type	Article

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