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Robust output feedback model predictive control of constrained linear systems
TLDR
This paper provides a solution to the problem of robust output feedback model predictive control of constrained, linear, discrete-time systems in the presence of bounded state and output disturbances. Expand
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An Introduction to Nonlinear Model Predictive Control
TLDR
This paper focuses on the application of model predictive control techniques to nonlinear systems. Expand
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Nonlinear Model Predictive Control: From Theory to Application
While linear model predictive control is popular since the 70s of the past century, only since the 90s there is a steadily increasing interest from control theoreticians as well as controlExpand
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Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations
Optimization problems in chemical engineering often involve complex systems of nonlinear DAE as the model equations. The direct multiple shooting method has been known for a while as a fast off-lineExpand
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State and Output Feedback Nonlinear Model Predictive Control: An Overview
The purpose of this paper is twofold. In the first part, we give a review on the current state of nonlinear model predictive control (NMPC). After a brief presentation of the basic principle ofExpand
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Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations
Abstract Optimization problems in chemical engineering often involve complex systems of nonlinear DAE as the model equations. The direct multiple shooting method has been known for a while as a fastExpand
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Nominal stability of real-time iteration scheme for nonlinear model predictive control
A Newton-type method is investigated for online optimisation in nonlinear model predictive control, the so-called real-time iteration scheme. Only one Newton-type iteration is performed per samplingExpand
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Nonlinear Model Predictive Control for Constrained Output Path Following
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We consider the tracking of geometric paths in output spaces of nonlinear systems subject to input and state constraints without pre-specified timing requirements, commonly referred to as constrained path-following problems. Expand
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Model predictive path-following for constrained nonlinear systems
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We propose a model predictive control approach to path-following problems of constrained nonlinear systems. Expand
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Integrating Cellular Metabolism into a Multiscale Whole-Body Model
TLDR
We present an approach relying on dynamic flux balance analysis that allows the integration of metabolic networks at the cellular scale into standardized physiologically-based pharmacokinetic models at the whole-body level. Expand
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