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Showing papers in "Journal of Process Control in 2009"


Journal ArticleDOI
TL;DR: A classification of a number of decentralized, distributed and hierarchical control architectures for large scale systems is proposed and attention is focused on the design approaches based on Model Predictive Control.

1,234 citations


Journal ArticleDOI
TL;DR: Three control methods—iterative learning control, repetitive control (RC), and run-to-run control (R2R)—are studied and compared and some promising fields for learning-type control are revealed.

679 citations


Journal ArticleDOI
TL;DR: It is shown that the proposed algorithm outperformed PCA and DPCA both in terms of detection and diagnosis of faults.

325 citations


Journal ArticleDOI
TL;DR: In this paper, the authors deal with data-driven design of fault detection and isolation (FDI) systems and identify a primary form of residual generators, instead of the process model, directly from test data and, based on it, design advanced FDI systems.

291 citations


Journal ArticleDOI
TL;DR: In this paper, a unified approach for the design of dead-time compensators is presented based on a modified structure of the Smith predictor that allows to decouple the disturbance and set-point responses in order to tune the controller for a compromise between performance and robustness and is able to cope with unstable processes.

227 citations


Journal ArticleDOI
TL;DR: The nullspace method is extended to cases with extra measurements by using the extra degrees of freedom to minimize the loss caused by measurement errors and the results are interpreted more generally as deriving linear invariants for quadratic optimization problems.

156 citations


Journal ArticleDOI
TL;DR: A novel online method using a robust extended Kalman filter to optimize a Mamdani fuzzy PID controller and is verified by its application to the force control problem of an electro-hydraulic actuator.

149 citations


Journal ArticleDOI
TL;DR: In this paper, a methodology is proposed for the detection of mismatch from closed-loop operating data, based on the analysis of partial correlations between the model residuals and the manipulated variables.

149 citations


Journal ArticleDOI
TL;DR: In this article, a disturbance observer based multi-variable control (DOMC) scheme is developed to control a two-input-two-output ball mill grinding circuit, which consists of two compound controllers, one for the product particle size and the other for the loop of circulating load.

146 citations


Journal ArticleDOI
TL;DR: In this article, the authors proposed two simple and easy methods which can guarantee the dominance of the two assigned poles for PID control systems They are based on root locus and Nyquist plot respectively if a solution exists, the parametrization of all the solutions is explicitly given.

145 citations


Journal ArticleDOI
TL;DR: In this paper, a model predictive control (MPC) based on a detailed unstructured model for penicillin production in a fed-batch fermentor is presented, which uses the inverse of penicilin concentration as a cost function instead of a common quadratic regulating one in an optimization block.

Journal ArticleDOI
TL;DR: In this paper, a multivariate statistical soft sensors for the online estimation of product quality in a real-world industrial batch polymerization process was developed, which is characterized by uneven length, non-reproducible sequence of processing steps, and scarce number of measurements for the quality indicators with uneven sampling of (and lag on) these variables.

Journal ArticleDOI
TL;DR: In this article, the authors make use of the advanced step model predictive control (NMPC) controller to overcome the computational complexity of the associated on-line optimization problems and demonstrate that the controller can handle nonlinear dynamics over a wide range of operating conditions.

Journal ArticleDOI
TL;DR: This article proposes a comprehensive algorithm based on the solution of a sequence of purely continuous problems and simulations, and provides a new and more compact proof for its well-posedness.

Journal ArticleDOI
TL;DR: In this paper, a multi-layer feed-forward neural network model based predictive control scheme is developed for a multivariable nonlinear steel pickling process in acid baths, where three variables under controlled are the hydrochloric acid concentrations.

Journal ArticleDOI
TL;DR: An adaptive control algorithm is proposed to keep glucose concentrations within normoglycemic range and dynamically respond to glycemic challenges and delays associated with insulin absorption, time-lag between subcutaneous and blood glucose concentrations, and variations in inter/intra-subject glucose–insulin dynamics.

Journal ArticleDOI
TL;DR: In this article, a stable MPC is developed for the zone control of open-loop stable systems, which is assumed that in the control structure of the process system there is an upper optimization layer that defines optimal targets to the system inputs.

Journal ArticleDOI
TL;DR: In this article, a new control-loop configuration criterion for multivariable processes is proposed based on the relative normalized gain array (RGA) for evaluating controlloop interactions, and a new loop pairing criterion based on RGA is proposed for control structure configuration.

Journal ArticleDOI
TL;DR: In this article, an approach to compute the arrival cost for moving horizon estimation based on an unscented Kalman filter is proposed, and the performance of such a moving horizon estimator is compared with the one based on extended Kalman filters.

Journal ArticleDOI
TL;DR: In this paper, an on-line optimization framework is proposed to exploit weather forecast information in the operation of energy systems, which can lead to more proactive and cost-effective operations.

Journal ArticleDOI
TL;DR: In this paper, a neural network based model predictive controller for controlling the interface level in a flotation column was proposed. But the performance of the controller was compared with that of a conventional PI controller for a two-phase system and was found to be better.

Journal ArticleDOI
TL;DR: In this article, the stability analysis of the Continuous Stirred Tank Reactor (CSTR) model by considering thermodynamics-based arguments is considered, and different Lyapunov function candidates related to the thermodynamics, more specifically based on the entropy, the entropy production and the internal energy, are considered.

Journal ArticleDOI
TL;DR: In this article, an introduction to the framework of Port-Hamiltonian systems and the IDA-PBC design is given, which is also applicable in process control and shown with different examples that it is also useful in real-world examples.

Journal ArticleDOI
TL;DR: A new method to diagnose the root cause of plant-wide oscillations using the adjacency matrix is proposed using the information in the process flowsheet and it complements the data based methods very well and it is best used in combination with other data-based methods to provide powerful diagnosis.

Journal ArticleDOI
TL;DR: In this article, the authors proposed a new methodology to design fractional integral controllers combined with Smith predictors, which are robust to high frequency model changes, in particular, special attention is paid to time delay changes.

Journal ArticleDOI
TL;DR: Kadam et al. as mentioned in this paper proposed a method for solving dynamic optimization problems based on neighboring-extremal updates suitable for applications in nonlinear model-predictive control and dynamic real-time optimization.

Journal ArticleDOI
TL;DR: An index based on the angles between different principal component analysis (PCA) score spaces is developed to quantify the similarities between PCA models and phase division algorithm is designed based on this new PCA similarity index.

Journal ArticleDOI
TL;DR: In this paper, the use of constrained minimum crest factor multisine signals as inputs for plant-friendly identification testing of chemical process systems is considered, and a series of optimization problem formulations relevant to problems in linear, nonlinear, and multivariable system identification are presented.

Journal ArticleDOI
TL;DR: In this article, an MPC condition monitoring tool based on multivariate statistical process control (MSPC) techniques is proposed to identify and diagnose poor control performance resulting from various issues including inappropriate interaction by process operators.

Journal ArticleDOI
TL;DR: In this paper, interval state estimation methods are proposed in the situation, quite common in biological systems, where measurements are only available at discrete, and possibly rare, times, and the attention is focused on defining predictors preserving the boundedness of the state variables between two measurement times assuming bounded uncertainties.