Efficient moving horizon state and parameter estimation for SMB processes

Küpper, Achim; Diehl, Moritz; Schlöder, Johannes P.; Bock, Hans Georg; Engell, Sebastian

doi:10.1016/j.jprocont.2008.10.004

Cited by 31 publications

(7 citation statements)

References 49 publications

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“…The axial concentration profiles are reconstructed correctly by the MHE (not show here due to limited space). The MHE is more robust against measurement noise and wrong initializations of the states and parameters than an EKF, see Küpper et al (2009). The MHE estimator can be applied online, as can be seen from Figure 8.…”

Section: Resultsmentioning

confidence: 99%

“…The published work is based upon the approximation of the concentration profiles by a set of truncated exponential functions Alamir and Corriou (2003), or by using the equivalent True Moving Bed (TMB) model Mangold et al (1994), Kloppenburg and Gilles (1999), or deals with the engineering of tailored estimation schemes Küpper and Engell (2006), Kleinert and Lunze (2005). Recently, a rigorous moving horizon estimation approach for SMB processes was proposed by Küpper et al (2009). In this formulation of the MHE, a deterministic behaviour of the process on the estimation horizon and Gaussian independent identically distributed measurement noise are assumed.…”

Section: Introductionmentioning

confidence: 99%

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Efficient Moving Horizon State and Parameter Estimation for the Varicol SMB Process

Küpper

Diehl

Schlöder

et al. 2009

IFAC Proceedings Volumes

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficient Moving Horizon State and Parameter Estimation for the Varicol SMB Process

Küpper

Diehl

Schlöder

et al. 2009

IFAC Proceedings Volumes

Self Cite

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“…In literature, these methods are grouped under the field of model-based design of experiments [93]. An important number of applications have been published (for representative examples see [94][95][96][97]).…”

Section: Consistent Model Buildingmentioning

confidence: 99%

Consistent development of bioprocesses from microliter cultures to the industrial scale

Neubauer

Cruz

Glauche

et al. 2013

Engineering in Life Sciences

105

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Bioprocess development today is slow and expensive compared to chemical process development. A drastic paradigm shift is necessary and possible by the consistent application of engineering strategies that are typically used in the process development phase already in the early product development. Aside from providing a consistent pathway, strategies such as statistical‐based design of experiments, fed‐batch, minibioreactors, new on‐line sensors, process modeling, and control tools in combination with automation of manual steps offer a higher success rate and the opportunity to find the optimum parameters and operation point. This also directly benefits the early phases of biomolecular screening and initial production of small amounts of the target molecule. The paper reviews the bioprocess developmental phases from a business perspective and the available systems and technologies.

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“…Different numerical methods for efficient solution of the subproblems arise in NMPC problem have been developed [7]- [9]. Considering the special structure of the QPs to be solved at each iteration of the mentioned RTI scheme, a condensing approach is proposed in this paper to reduce the online computational effort.…”

Section: Introductionmentioning

confidence: 99%

Fast nonlinear model predictive control for teleoperation systems using computationally efficient optimization techniques

Sabetghadam

Safavi

2014

2014 22nd Iranian Conference on Electrical Engineering (ICEE)

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The online computational load associated with Nonlinear Model Predictive Control (NMPC) is a serious barrier for its application to systems with fast dynamics. This paper addresses numerical approaches for fast and real-time feasible NMPC. The applicability of these methods to fast systems with sampling times in order of milliseconds is investigated through a nonlinear teleoperation system. The main ideas of the "real-time iteration" (RTI) approach for real-time optimization are addressed. Condensing approach to efficient structure exploitation of the described RTI scheme is then presented. The described method ensures a considerable reduction of the computational effort as required in real-time implementations. The NMPC algorithms based on these methods can therefore be carried out at higher sampling rates. The results show promising performance of the nonlinear teleoperation system using fast NMPC controller.

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Efficient moving horizon state and parameter estimation for SMB processes

Cited by 31 publications

References 49 publications

Efficient Moving Horizon State and Parameter Estimation for the Varicol SMB Process

Efficient Moving Horizon State and Parameter Estimation for the Varicol SMB Process

Consistent development of bioprocesses from microliter cultures to the industrial scale

Fast nonlinear model predictive control for teleoperation systems using computationally efficient optimization techniques

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