Toward a model-free feedback control synthesis for treating acute inflammation

Abstract

An effective and patient-specific feedback control synthesis for inflammation resolution is still an ongoing research area. A strategy consisting of manipulating a pro and anti-inflammatory mediator is considered here as used in some promising model-based control studies. These earlier studies, unfortunately, suffer from the difficultly of calibration due to the heterogeneity of individual patient responses even under similar initial conditions. We exploit a new model-free control approach and its corresponding "intelligent" controllers for this biomedical problem. A crucial feature of the proposed control problem is as follows: the two most important outputs which must be driven to their respective desired states are sensorless. This difficulty is overcome by assigning suitable reference trajectories to the other two outputs that do have sensors. A mathematical model, via a system of ordinary differential equa-

Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories

“…The indisputable practical successes (see [2], [11], the numerous references therein, and [3], [6], [12], [13], [14], [39], [47], [50], [53], [54], [74], [58], [59], [66], [71], [83], [84]) of model-free control [29] explains why it has already been summarized recently many times: [5], [8], [11], [30], [50]. It will therefore not be repeated here.…”

Preliminaryin silicoexperiments: Towards new cancer treatments?

“…See, e.g., [Bonnabel & Clayes (2020)] for tower cranes. 2) Besides being useful in concrete case-studies (see, e.g., [Amasyali et al (2020)], [Park et al (2021)], [Park & Olama (2021)] for energy management), model-free control in the sense of [Fliess & Join (2013)] has already been illustrated by drug injections for some type-1 diabetes [MohammadRidha et al (2018)] and for inflammation [Bara et al (2018)]. Note that the terminology "model-free control" has been used many times with different definitions: see, e.g., [Chareyron & Alamir (2009)] in oncology.…”

Model-free control algorithms for micro air vehicles with transitioning flight capabilities

“…The literature presents some particular control algorithms that do not rely on modeling. For instance, the model-free control (MFC) approach proposed by Fliess and Join 29 has been successfully illustrated in different concrete case-studies varying from wastewater denitrification, 30 nanopositioning of piezoelectric systems 31 up to inflammation resolution in biomedical applications, 32 see also its references for additional case-study examples and supplementary information. Some research works based on MFC techniques have led to patents, such as Join et al.…”