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Found 13 papers, 0 papers with code
Towards a control-theoretic trivialization of ABR video streaming
Combining flatness-based control, model-free control and algebraic estimation techniques permits to trivialize several key issues in the adaptive bitrate (ABR) setting, now the dominant industry approach in video streaming: 1) A straightforward open-loop strategy for the bitrate and the buffer level; 2) closing the loop permits not only to take into account unavoidable mismatches and disturbances, like Internet fluctuations, but also the inherently discrete nature of the bitrate; 3) an easily implementable closed-form estimate for a bandwidth allows to handle severe variations of the channel capacity.
Speed-Adaptive Model-Free Lateral Control for Automated Cars
In order to increase the number of situations in which an intelligent vehicle can operate without human intervention, lateral control is required to accurately guide it in a reference trajectory regardless of the shape of the road or the longitudinal speed.
Ramp metering: modeling, simulations and control issues
The aim of ramp metering is to improve the highway traffic conditions by an appropriate regulation of the inflow from the on-ramps to the highway mainstream.
Feedback control of social distancing for COVID-19 via elementary formulae
Social distancing has been enacted in order to mitigate the spread of COVID-19.
Toward simple "in silico" experiments for drugs administration in some cancer treatments
We present some "in silico" experiments to design combined chemo- and immunotherapy treatment schedules.
Defense against DoS and load altering attacks via model-free control: A proposal for a new cybersecurity setting
Defense against cyberattacks is an emerging topic related to fault-tolerant control.
An alternative to proportional-integral and proportional-integral-derivative regulators: Intelligent proportional-derivative regulators
This paper suggests to replace PIs and PIDs, which play a key role in control engineering, by intelligent Proportional-Derivative feedback loops, or iPDs, which are derived from model-free control.
Machine learning and control engineering: The model-free case
This paper states that Model-Free Control (MFC), which must not be confused with Model-Free Reinforcement Learning, is a new tool for Machine Learning (ML).
La production de nitrites lors de la dénitrification des eaux usées par biofiltration - Stratégie de contrôle et de réduction des concentrations résiduelles
Research studies have been led in the MOCOPEE program (www. mocopee. com) to better understand the underlying mechanisms behind the production of nitrite during wastewater denitrification and to develop technical tools (measurement and control solutions) to assist on-site reductions of nitrite productions.
Un résultat intrigant en commande sans modèle
An elementary mathematical example proves, thanks to the Routh-Hurwitz criterion, a result that is intriguing with respect to today's practical understanding of model-free control, i. e., an "intelligent" proportional controller (iP) may turn to be more difficult to tune than an intelligent proportional-derivative one (iPD).
Energy saving for building heating via a simple and efficient model-free control design: First steps with computer simulations
The model-based control of building heating systems for energy saving encounters severe physical, mathematical and calibration difficulties in the numerous attempts that has been published until now.
Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study
This communication is devoted to solar irradiance and irradiation short-term forecasts, which are useful for electricity production.
Systematic and multifactor risk models revisited
Systematic and multifactor risk models are revisited via methods which were already successfully developed in signal processing and in automatic control.
