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A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability
We present in this paper a novel nonlinear model predictive control scheme that guarantees closed-loop stability. The scheme can be applied to both stable and unstable systems with input constraints.Expand
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Projection of diabetes burden through 2050: impact of changing demography and disease prevalence in the U.S.
OBJECTIVE To project the number of people with diagnosed diabetes in the U.S. through 2050, accounting for changing demography and diabetes prevalence rates. RESEARCH DESIGN AND METHODS We combinedExpand
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What Actually Happened to the Inventories of American Companies Between 1981 and 2000?
This paper examines the inventories of publicly traded American manufacturing companies between 1981 and 2000. Expand
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Discrete Flow Networks: Bottleneck Analysis and Fluid Approximations
We conduct bottleneck analysis of a deterministic dynamic dynamic discrete-flow network. Expand
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Fluid Approximations and Stability of Multiclass Queueing Networks: Work-Conserving Disciplines
This paper studies the uid approximation (also known as the functional strong law-of-large-numbers) and the stability (positive Harris recurrent) for a multiclass queueing network. Both of these areExpand
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Nonlinear Model Predictive Control Schemes with Guaranteed Stability
Model predictive control (MPC), also referred to as moving horizon control or receding horizon control, has become an attractive feedback strategy, especially for linear or nonlinear systems subjectExpand
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Mining roles with semantic meanings
We argue that the theory of formal concept analysis provides a solid theoretical foundation for mining roles from userpermission relation. Expand
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U.S. Retail and Wholesale Inventory Performance from 1981 to 2004
This paper examines the inventories of publicly traded U.S. retail and wholesale companies between 1981 and 2004. Expand
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Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems
  • T. Chen, H. Chen
  • Computer Science, Medicine
  • IEEE Trans. Neural Networks
  • 1 July 1995
The purpose of this paper is to investigate neural network capability systematically. Expand
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