scispace - formally typeset
Journal ArticleDOI

Multi-stage nonlinear model predictive control applied to a semi-batch polymerization reactor under uncertainty

Reads0
Chats0
TLDR
In this paper, the authors present a robust non-conservative nonlinear model predictive control (MPC) approach based on the representation of the evolution of the uncertainty by a scenario tree, and leads to a non-ervative robust control of the uncertain plant because the adaptation of future inputs to new information is taken into account.
About
This article is published in Journal of Process Control.The article was published on 2013-10-01. It has received 291 citations till now. The article focuses on the topics: Model predictive control & Robust control.

read more

Citations
More filters
Proceedings ArticleDOI

Receding Horizon Sliding Control design with robustness to implementation imprecisions

TL;DR: In this paper, a Receding Horizon Sliding Control is used, which extends the sliding control to incorporate a receding horizon approach, and shows significant improvement in reducing tracking errors in the presence of ADC imprecisions.
Proceedings ArticleDOI

Sequential Multi-Stage and Tube-based Robust MPC for Constrained Linear Systems with Multiplicative Uncertainty

TL;DR: In this article, a tube-based approach and a multi-stage approach are compared for MPC algorithms and a trade-off between the two approaches is presented. But the performance of the approach is not evaluated.
Journal ArticleDOI

Flexible process operation for electrified chemical plants

TL;DR: In this paper , a review of demand-response techniques to operate plants dynamically in view of the availability and the price of electric power is presented, where the demand of the plants is adapted to the supply.

Improving Moving Horizon Estimation using Parametric Nonlinear Programming Sensitivity

TL;DR: In this paper , a new method is proposed to calculate the arrival cost based on parametric nonlinear programming techniques, which uses the sensitivity of the optimal solution manifold of the ideal arrival cost.
Book ChapterDOI

Optimal operation of parallel mini-bioreactors in bioprocess development using multi-stage MPC

TL;DR: In this article , a multi-stage model predictive control (MPC) strategy is proposed to fulfill the experimental objectives under tight constraints despite the uncertainty in the parameters and the measurements.
References
More filters
Journal ArticleDOI

Model predictive control: theory and practice—a survey

TL;DR: The flexible constraint handling capabilities of MPC are shown to be a significant advantage in the context of the overall operating objectives of the process industries and the 1-, 2-, and ∞-norm formulations of the performance objective are discussed.
Journal ArticleDOI

SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization

TL;DR: An SQP algorithm that uses a smooth augmented Lagrangian merit function and makes explicit provision for infeasibility in the original problem and the QP subproblems is discussed and a reduced-Hessian semidefinite QP solver (SQOPT) is discussed.
Journal ArticleDOI

Robust model predictive control of constrained linear systems with bounded disturbances

TL;DR: This paper provides a novel solution to the problem of robust model predictive control of constrained, linear, discrete-time systems in the presence of bounded disturbances by solving the optimal control problem that is solved online.
Journal ArticleDOI

A Multiple Shooting Algorithm for Direct Solution of Optimal Control Problems

TL;DR: A condensing algorithm for the solution of the approximating linearly constrained quadratic subproblems, and high rank update procedures are introduced, which are especially suited for optimal control problems and lead to significant improvements of the convergence behaviour and reductions of computing time and storage requirements.
Journal ArticleDOI

Scenarios and policy aggregation in optimization under uncertainty

TL;DR: This paper develops for the first time a rigorous algorithmic procedure for determining a robust decision policy in response to any weighting of the scenarios.
Related Papers (5)