Browsing Institutt for teknisk kybernetikk by Journals "Journal of Process Control"
Now showing items 1-12 of 12
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A novel model-based scheme for kick and loss mitigation during drilling
(Journal article; Peer reviewed, 2013)A model-based in-/out-flux detection scheme for managed pressure drilling is presented. We apply a globally exponentially stable adaptive observer which estimates the unknown states and parameters of the hydraulic system ... -
A Primal decomposition algorithm for distributed multistage scenario model predictive control
(Journal article; Peer reviewed, 2019)This paper proposes a primal decomposition algorithm for efficient computation of multistage scenario model predictive control, where the future evolution of uncertainty is represented by a scenario tree. This often results ... -
Accounting for dynamics in self-optimizing control
(Journal article; Peer reviewed, 2019)Self-optimizing control focuses on minimizing the steady-state loss for processes in the presence of disturbances by holding selected controlled variables at constant set-points. The loss can further be reduced by controlling ... -
Block factorization of step response model predictive control problems
(Journal article; Peer reviewed, 2017)By introducing a stage-wise prediction formulation that enables the use of highly efficient quadratic programming (QP) solution methods, this paper expands the computational toolbox for solving step response MPC problems. ... -
Control-relevant nonlinearity measure and integrated multi-model control
(Journal article; Peer reviewed, 2017)A control-relevant nonlinearity measure (CRNM) method is proposed based on the gap metric and the gap metric stability margin to measure the nonlinear degree of a system once a linear control strategy is selected. Supported ... -
Detecting non-linearity induced oscillations via the dyadic filter bank property of multivariate empirical mode decomposition
(Journal article, 2017)Non-linearity induced oscillations in control loops are characterized by the presence of higher order harmonics. In this paper the dyadic filter bank property of the multivariate empirical mode decomposition (MEMD) is ... -
Fault tolerant control of a proton exchange membrane fuel cell using Takagi–Sugeno virtual actuators
(Journal article, 2016)In this paper, a fault tolerant control (FTC) strategy for proton exchange membrane (PEM) fuel cells based on the use of virtual actuators and the Takagi–Sugeno (TS) approach is proposed. The overall solution relies on ... -
Identifiable Prediction Animal Model for the Bi-Hormonal Intraperitoneal Artificial Pancreas
(Peer reviewed; Journal article, 2022)To achieve a fully automatic artificial pancreas (AP), i.e., an AP without the need for meal announcements, the intraperitoneal (IP) route is explored. This route has faster dynamics than the typical subcutaneous (SC) ... -
Improved predictions from measured disturbances in linear model predictive control
(Journal article; Peer reviewed, 2019)Measured disturbances are often included in model predictive control (MPC) formulations to obtain better predictions of the future behavior of the controlled system, and thus improve the control performance. In the prediction ... -
A novel hybrid analysis and modeling approach applied to aluminum electrolysis process
(Peer reviewed; Journal article, 2021)Aluminum electrolysis cells are characterized by harsh environments where several measurements have to be done manually. Due to the operational costs related to manual sampling, the sampling rates of these measurements are ... -
Reservoir characterization in Under-balanced Drilling using Low-Order Lumped Model
(Journal article; Peer reviewed, 2017)Estimation of the production index of oil and gas from the reservoir into the well during under-balanced drilling (UBD) is studied. This paper compares a Lyapunov-based adaptive observer and a joint unscented Kalman filter ... -
Short-term production optimization of offshore oil and gas production using nonlinear model predictive control
(Journal article, 2013)The topic of this paper is the application of nonlinear model predictive control (NMPC) for optimizing control of an offshore oil and gas production facility. Of particular interest is the use of NMPC for direct short-term ...