NDLI: Worst-case and distributional robustness analysis of finite-time control trajectories for nonlinear distributed parameter systems

Content Provider	IEEE Xplore Digital Library
Author	Nagy, Z.K. Braatz, R.D.
Copyright Year	1993
Abstract	A novel approach is proposed that quantifies the influence of parameter and control implementation uncertainties upon the states and outputs of finite-time control trajectories for nonlinear lumped and distributed parameter systems. The worst-case values of the states and outputs due to model parameter uncertainties are computed as a function of time along the control trajectories. The algorithm can also compute the part of the optimal control trajectory for which implementation inaccuracies are of increased importance. An analytical expression is derived that provides an estimate of the distribution of the states and outputs as a function of time, based on simulation results. The approaches require a relatively low computational burden to perform the analysis, compared to Monte Carlo approaches for robustness analysis. The technique is applied to the crystallization of an inorganic chemical with uncertainties in the nucleation and growth parameters and in the implementation of the control trajectory.
Sponsorship	IEEE Control Systems Society
Starting Page	694
Ending Page	704
Page Count	11
File Size	781042
File Format	PDF
ISSN	10636536
Volume Number	11
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robust control Control system analysis Nonlinear control systems Control systems Distributed parameter systems Uncertainty Performance analysis Uncertain systems Optimal control State estimation
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering

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