Publications related to Moment-sum-of-squares hierarchies for set approximation and optimal control

Enhancing the control of tokamaks via a continuous nonlinear control law

The control of the current, position and shape of an elongated cross-section tokamak plasma is complicated by the instability of the plasma vertical position. In this case the control becomes a significant problem when saturation of the power supplies is c ...

EPFL2004

Power formulation for the optimal control of an industrial induction heating process for thixoforming

Jacques Rappaz, Alexandre Masserey

We present an extension of a 2D cartesian electromagnetic and thermal model to achieve the optimal control of an industrial induction heating system. The control variables are the frequency and the power. We explain how to derive the discrete optimal contr ...

2004

Structure preservation: a challenge in computational control

Daniel Kressner, Volker Mehrmann

Current and future directions in the development of numerical methods and numerical software for control problems are discussed. Major challenges include the demand for higher accuracy, robustness of the method with respect to uncertainties in the data or ...

Elsevier2003

Using model predictive control and hybrid systems for optimal scheduling of industrial processes

Giancarlo Ferrari Trecate

Optimal (re)scheduling of production in industrial processes increases economic efficiency through timely and optimal use of limited resources. In this article an approach to scheduling based on the use of hybrid systems and model predictive control is pre ...

2003

Iterative Correlation-Based Controller Tuning: Application to a Magnetic Suspension System

Dominique Bonvin, Alireza Karimi, Ljubisa Miskovic

Iterative tuning of the parameters of a restricted-order controller using the data acquired in closed-loop operation seems to be a promising idea, especially for tuning PID controllers in industrial applications. In this paper, a new tuning approach based ...

2003

Predictive Control of Fast Unstable and Nonminimum-phase Nonlinear Systems

Dominique Bonvin, Philippe Müllhaupt, Kahina Guemghar

Predictive Control of Unstable Nonminimum-phase Systems K. Guemghar, B. Srinivasan, Ph. Mullhaupt, D. Bonvin ´ Institut d’Automatique, Ecole Polytechnique F´d´rale de Lausanne, ee CH-1015 Lausanne, Switzerland. Predictive control is a very eﬀective approac ...

2002

Methodologie d'Optimisation Dynamique et de Commande Optimale des Petites Stations d'Epuration a Boues Activees

Benoît Chachuat

The adoption of stricter effluent requirements by the European Union rises large problems for small communities having few economical and technical resources. These problems motivate the synthesis of advanced optimisation-based controllers in order to enha ...

Institut National Polytechnique de Lorraine (INPL)2001

Analysis and Control with Performance of Piecewise Affine and Hybrid Systems

Giancarlo Ferrari Trecate

In this paper we investigate some analysis and control problems with performance for discrete-time hybrid systems in the Piece-Wise Affine form. By using arguments from the dissipativity theory for nonlinear systems, we show that

H_infty

analysis and syn ...

2001

Friction modeling, identification and compensation

High-precision tracking requires excellent control of slow motion and positioning. Recent advances have provided dynamic friction models that represent almost all experimentally observed properties of friction. The state space formulation of these new math ...

EPFL1999

Friction Modeling, Identification and Compensation (PhD Thesis)

Abstract HIGH-PRECISION tracking requires excellent control of slow motion and positioning. Recent advances have provided dynamic friction models that represent almost all experimentally observed properties of friction. The state space formulation of these ...

EPFL - PPUR1999

Moment-sum-of-squares hierarchies for set approximation and optimal control

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Enhancing the control of tokamaks via a continuous nonlinear control law

Power formulation for the optimal control of an industrial induction heating process for thixoforming

Structure preservation: a challenge in computational control

Using model predictive control and hybrid systems for optimal scheduling of industrial processes

Iterative Correlation-Based Controller Tuning: Application to a Magnetic Suspension System

Predictive Control of Fast Unstable and Nonminimum-phase Nonlinear Systems

Methodologie d'Optimisation Dynamique et de Commande Optimale des Petites Stations d'Epuration a Boues Activees

Analysis and Control with Performance of Piecewise Affine and Hybrid Systems

Friction modeling, identification and compensation

Friction Modeling, Identification and Compensation (PhD Thesis)

Enhancing the control of tokamaks via a continuous nonlinear control law

Iterative Correlation-Based Controller Tuning: Application to a Magnetic Suspension System

Structure preservation: a challenge in computational control

Methodologie d'Optimisation Dynamique et de Commande Optimale des Petites Stations d'Epuration a Boues Activees

Analysis and Control with Performance of Piecewise Affine and Hybrid Systems

Friction modeling, identification and compensation

Friction Modeling, Identification and Compensation (PhD Thesis)

Using model predictive control and hybrid systems for optimal scheduling of industrial processes

Power formulation for the optimal control of an industrial induction heating process for thixoforming

Predictive Control of Fast Unstable and Nonminimum-phase Nonlinear Systems