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international workshop on Assesment and future directions of nonlinear model predictive control, NMPC 2005

International Workshop on Assesment and Future Directions of...

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international workshop on Assesment and future directions of nonlinear model predictive control, NMPC 2005

ISBN: (纸本)9783540726982

The proceedings contain 53 papers. The special focus in this conference is on Assesment and future directions of nonlinear model predictive control. The topics include: nonlinear model predictive control;conditions for MPC based stabilization of sampled-data nonlinear systems via discrete-time approximations;a computationally efficient scheduled model predictive control algorithm for control of a class of constrained nonlinear systems;the potential of interpolation for simplifying predictive control and application to LPV systems;techniques for uniting lyapunov-based and model predictive control;discrete-time non-smooth nonlinear MPC;model predictive control for nonlinear sampled-data systems;sampled-data model predictive control for nonlinear time-varying systems;on the computation of robust control invariant sets for piecewise affine systems;nonlinear predictive control of irregularly sampled data systems using identified observers;nonlinear model predictive control;numerical methods for efficient and fast nonlinear model predictive control;computational aspects of approximate explicit nonlinear model predictive control;towards the design of parametric model predictive controllers for non-linear constrained systems;interior-point algorithms for nonlinear model predictive control;hard constraints for prioritized objective nonlinear MPC;robustness and robust design of MPC for nonlinear discrete-time systems;MPC for stochastic systems;on disturbance attenuation of nonlinear moving horizon control;close-loop stochastic dynamic optimization under probabilistic output-constraints;interval arithmetic in robust nonlinear MPC;state estimation analysed as inverse problem;minimum-distance receding-horizon state estimation for switching discrete-time linear systems;controlling distributed hyperbolic plants with adaptive nonlinear model predictive control and a minimum-time optimal recharging controller for high pressure gas storage systems.

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nonlinear model predictive control:: A passivity-based approach

Nonlinear model predictive control:: A passivity-based appro...

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international workshop on assessment and future directions of nonlinear model predictive control

作者： Raff, Tobias Ebenbauer, Christian Allgoewer, Frank Univ Stuttgart Inst Syst Theory & Automat Control Pfaffenwaldring 9 D-70550 Stuttgart Germany

ISBN: (纸本)9783540726982

This paper presents a novel approach for nonlinear model predictive control based on the concept of passivity. The proposed nonlinear model predictive control scheme is inspired by the relationship between optimal control and passivity as well as by the relationship between optimal control and model predictive control. In particular, a passivity-based state constraint is used to obtain a nonlinear model predictive control scheme with guaranteed closed loop stability. Since passivity and stability are closely related, the proposed approach can be seen as an alternative to control Lyapunov function based approaches. To demonstrate its applicability, the passivity-based nonlinear model predictive control scheme is applied to control a quadruple tank system.

关键词： model predictive control

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A nonlinear model predictive control framework as free software: Outlook and progress report

A Nonlinear model predictive control framework as free softw...

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international workshop on assessment and future directions of nonlinear model predictive control

作者： Romanenko, Andrey Santos, Lino O. Univ Coimbra Dept Engn Quim GEPSI PSE Pinhal MarrocosPolo 2 P-3030290 Coimbra Portugal

ISBN: (纸本)9783540726982

model predictive control (MPC) has been a field with considerable research efforts and significant improvements in the algorithms. This has led to a fairly large number of successful industrial applications. However, many small and medium enterprises have not embraced MPC, even though their processes may potentially benefit from this control technology. We tackle one aspect of this issue with the development of a nonlinear model predictive control package NEWCON that will be released as free software. The work details the conceptual design, the control problem formulation and the implementation aspects of the code. A possible application is illustrated with an example of the level and reactor temperature control of a simulated CSTR. Finally, the article outlines future development directions of the NEWCON package.

关键词： model predictive control

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Robustness and robust design of MPC for nonlinear discrete-time systems

Robustness and robust design of MPC for nonlinear discrete-t...

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international workshop on assessment and future directions of nonlinear model predictive control

作者： Magni, Lalo Scattolini, Riccardo Univ Pavia Dipartimento Informat & Sistemist I-27100 Pavia Italy Politecn Milan Dipartimento Elettron & Informat Milan Italy

ISBN: (纸本)9783540726982

In view of the widespread success of model predictive control (MPC), in recent years attention has been paid to its robustness characteristics, either by examining the robustness properties inherent to stabilizing MPC algorithms, or by developing new MPC methods with enhanced robustness properties. © Springer-Verlag Berlin Heidelberg 2007.

关键词： model predictive control

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Experiences with nonlinear MPC in polymer manufacturing

Experiences with nonlinear MPC in polymer manufacturing

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international workshop on assessment and future directions of nonlinear model predictive control

作者： Naidoo, Kelvin Guiver, John Turner, Paul Keenan, Mike Harmse, Michael Aspen Technol Inc 2500 City W BlvdSuite 1600 Houston TX 77042 USA

ISBN: (纸本)9783540726982

This paper discusses the implementation of nonlinear model predictive control on continuous industrial polymer manufacturing processes. Two examples of such processes serve to highlight many of the practical issues faced and the technological solutions that have been adopted. An outline is given of the various phases of deploying such a solution, and this serves as a framework for describing the relevant modeling choices, controller structures, controller tuning, and other practical issues.

关键词： model predictive control

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nonlinear model predictive control: An introductory review

Nonlinear model predictive control: An introductory review

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international workshop on assessment and future directions of nonlinear model predictive control

作者： Camacho, Eduardo F. Bordons, Carlos Univ Seville Dept Ingn Sistemas & Automat Seville Spain

ISBN: (纸本)9783540726982

model predictive control (MPC) originated in the late seventies and has developed considerably since then. The term model predictive control does not designate a specific control strategy but rather an ample range of control methods which make explicit use of a model of the process to obtain the control signal by minimizing an objective function. The ideas, appearing in greater or lesser degree in the predictive control family, are basically the explicit use of a model to predict the process output at future time instants (horizon), the calculation of a control sequence minimizing an objective function and the use of a receding strategy, so that at each instant the horizon is displaced towards the future, which involves the application of the first control signal of the sequence calculated at each step. © Springer-Verlag Berlin Heidelberg 2007.

关键词： model predictive control

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A new real-time method for nonlinear model predictive control

A new real-time method for Nonlinear model predictive contro...

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international workshop on assessment and future directions of nonlinear model predictive control

作者： DeHaan, Darryl Guay, Martin Queens Univ Dept Chem Engn Kingston ON K7L 3N6 Canada

ISBN: (纸本)9783540726982

A formulation of continuous-time nonlinear MPC is proposed in which input trajectories are described by general time-varying parameterizations. The approach entails a limiting case of suboptimal single-shooting, in which the dynamics of the associated NLP are allowed to evolve within the same timescale as the process dynamics, resulting in a unique type of continuous-time dynamic state feedback which is proven to preserve stability and feasibility.

关键词： State feedback

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A computationally efficient scheduled model predictive control algorithm for control of a class of constrained nonlinear systems

A computationally efficient scheduled model predictive contr...

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international workshop on assessment and future directions of nonlinear model predictive control

作者： Kothare, Mayuresh V. Wan, Zhaoyang Lehigh Univ Dept Chem Engn 111 Res Dr Bethlehem PA 18017 USA GE Water & Process Technol Trevose 19503 PA USA

ISBN: (纸本)9783540726982

We present an overview of our results on stabilizing scheduled output feedback model predictive control (MPC) algorithm for constrained nonlinear systems based on our previous publications [19, 20]. Scheduled MPC provides an important alternative to conventional nonlinear MPC formulations and this paper addresses the issues involved in its implementation and analysis, within the context of the NMPC05 workshop. The basic formulation involves the design of a set of local output feedback predictive controllers with their estimated regions of stability covering the desired operating region, and implement them as a single scheduled output feedback MPC which on-line switches between the set of local controllers and achieves nonlinear transitions with guaranteed stability. This algorithm provides a general framework for scheduled output feedback MPC design.

关键词： model predictive control

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Putting nonlinear model predictive control into use

Putting nonlinear model predictive control into use

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international workshop on assessment and future directions of nonlinear model predictive control

作者： Foss, Bjarne A. Schei, Tor S. Norwegian Univ Sci & Technol Dept Engn Cybernet N-7034 Trondheim Norway Cybernetica AS Trondheim Norway

ISBN: (纸本)9783540726982

We will in this paper highlight our experience with NMPC. In our context NMPC shall mean the use of a nonlinear mechanistic model, state estimation, and the solution of an online constrained nonlinear optimisation problem. Our reference base is a number of applications of NMPC in a variety of processes. We discuss the use of mechanistic models in NMPC applications and in particular the merits and drawbacks of applying such models in online applications. Further, we focus on state estimation, and the use of Kalman filters and moving horizon estimation. Finally, we consider the design of the optimization problem itself and implementation issues.

关键词： State estimation

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Hard constraints for prioritized objective nonlinear MPC

Hard constraints for prioritized objective nonlinear MPC

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international workshop on assessment and future directions of nonlinear model predictive control

作者： Long, Christopher E. Gatzke, Edward P. Univ South Carolina Dept Chem Engn Columbia SC 29208 USA

ISBN: (纸本)9783540726982

This paper presents a nonlinear model predictive control (NMPC) algorithm that uses hard variable constraints to allow for control objective prioritization. Traditional prioritized objective approaches can require the solution of a complex mixed-integer program. The formulation presented in this work relies on the feasibility and solution of a relatively small logical sequence of purely continuous nonlinear programs (NLP). The proposed solution method for accomodation of discrete control objectives is equivalent to solution of the overall mixed-integer nonlinear programming problem. The performance of the algorithm is demonstrated on a simulated multivariable network of air pressure tanks.

关键词： model predictive control

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