Showing papers by "Cédric Join published in 2016"
07 Sep 2016
TL;DR: In this paper, the authors present the use of model-free control in the context of unknown delayed systems and propose a solution to improve the effectiveness of this approach using a parameter estimation.
Abstract: The use of model-free control (MFC) spreads now more and more in industry. Nevertheless, control unknown delayed systems with this method remains an open problem. In this contribution, we present the use of model-free control in this context and we propose a solution to improve the effectiveness of this approach using a parameter estimation.
21 citations
TL;DR: Computer simulations are displayed in order to compare this design to an input-output feedback linearizing control strategy, which is widely used in the academic literature on photobioreactors and assess the superiority of the model-free standpoint both in terms of performances and implementation simplicity.
Abstract: Controlling microalgae cultivation, i.e., a crucial industrial topic today, is a challenging task since the corresponding modeling is complex, highly uncertain and time-varying. A model-free control setting is therefore introduced in order to ensure a high growth of microalgae in a continuous closed photobioreactor. Computer simulations are displayed in order to compare this design to an input-output feedback linearizing control strategy, which is widely used in the academic literature on photobioreactors. They assess the superiority of the model-free standpoint both in terms of performances and implementation simplicity.
16 citations
TL;DR: The main tool is a new setting on time series that allows the definition of "confidence bands" where the Gaussian assumption, which is not satisfied by concrete data, may be abandoned.
12 citations
Posted Content•
TL;DR: In this article, a strategy consisting of manipulating a pro and anti-inflammatory mediator is considered, where the two outputs which must be driven are sensorless and are assigned suitable reference trajectories to two other outputs with sensors.
Abstract: Control of an inflammatory immune response is still an ongoing research. Here, a strategy consisting of manipulating a pro and anti-inflammatory mediator is considered. Already existing and promising model-based techniques suffer unfortunately from a most difficult calibration. This is due to the different types of inflammations and to the strong parameter variation between patients. This communication explores another route via the new model-free control and its corresponding "intelligent" controllers. A "virtual" patient, i.e., a mathematical model, is only employed for digital simulations. A most interesting feature of our control strategy is the fact that the two outputs which must be driven are sensorless. This difficulty is overcome by assigning suitable reference trajectories to two other outputs with sensors. Several most encouraging computer simulations, corresponding to different drug treatment strategies, are displayed and discussed.
11 citations
Posted Content•
TL;DR: In this article, the authors proposed a new approach to short-term traffic flow forecasting and its reliability, i.e., to the traffic volatility, based on time series, where deterministic and stochastic modelings as well as storage and analysis of big data are useless.
Abstract: Recent advances in time series, where deterministic and stochastic modelings as well as the storage and analysis of big data are useless, permit a new approach to short-term traffic flow forecasting and to its reliability, i.e., to the traffic volatility. Several convincing computer simulations, which utilize concrete data, are presented and discussed.
11 citations
TL;DR: In this article, the authors proposed a new approach to short-term traffic flow forecasting and its reliability, i.e., to the traffic volatility, based on time series, where deterministic and stochastic modelings as well as storage and analysis of big data are useless.
11 citations
29 Jun 2016
TL;DR: This communication explores another route via the new model-free control and its corresponding “intelligent” controllers and several most encouraging computer simulations, corresponding to different drug treatment strategies, are displayed and discussed.
Abstract: Control of an inflammatory immune response is still an ongoing research. Here, a strategy consisting of manipulating a pro and anti-inflammatory mediator is considered. Already existing and promising model-based techniques suffer unfortunately from a most difficult calibration. This is due to the different types of inflammations and to the strong parameter variation between patients. This communication explores another route via the new model-free control and its corresponding “intelligent” controllers. A “virtual” patient, i.e., a mathematical model, is only employed for digital simulations. A most interesting feature of our control strategy is the fact that the two outputs which must be driven are sensorless. This difficulty is overcome by assigning suitable reference trajectories to two other outputs with sensors. Several most encouraging computer simulations, corresponding to different drug treatment strategies, are displayed and discussed.
10 citations
21 Jun 2016
TL;DR: In this article, a model-free control setting is introduced in order to ensure a high growth of microalgae in a continuous closed photobioreactor, and computer simulations are displayed to compare this design to an input-output feedback linearizing control strategy, which is widely used in the academic literature on photobioresactors.
Abstract: Controlling microalgae cultivation, i.e., a crucial industrial topic today, is a challenging task since the corresponding modeling is complex, highly uncertain and time-varying. A model-free control setting is therefore introduced in order to ensure a high growth of microalgae in a continuous closed photobioreactor. Computer simulations are displayed in order to compare this design to an input-output feedback linearizing control strategy, which is widely used in the academic literature on photobioreactors. They assess the superiority of the model-free standpoint both in terms of performances and implementation simplicity.
10 citations
Posted Content•
TL;DR: In this paper, a new setting on time series is proposed, which allows the definition of "confidence bands" where the Gaussian assumption, which is not satisfied by the concrete data, may be abandoned.
Abstract: Electricity production via solar energy is tackled via short-term forecasts and risk management. Our main tool is a new setting on time series. It allows the definition of "confidence bands" where the Gaussian assumption, which is not satisfied by our concrete data, may be abandoned. Those bands are quite convenient and easily implementable. Numerous computer simulations are presented.
6 citations
Posted Content•
TL;DR: In this article, a new setting on time series is proposed, which allows the definition of "confidence bands" where the Gaussian assumption, which is not satisfied by the concrete data, may be abandoned.
Abstract: Electricity production via solar energy is tackled via short-term forecasts and risk management. Our main tool is a new setting on time series. It allows the definition of "confidence bands" where the Gaussian assumption, which is not satisfied by our concrete data, may be abandoned. Those bands are quite convenient and easily implementable. Numerous computer simulations are presented.
1 citations