scholarly journals Model-free control of the inertia wheel inverted pendulum with real-time experiments

2017 ◽  
pp. 119-136
Keyword(s):  
Real Time ◽  
Inverted Pendulum ◽  
Model Free ◽  
Model Free Control

scholarly journals Model-free based control of a HIV/AIDS prevention model

2021 ◽  
Vol 19 (1) ◽  
pp. 759-774
Author(s):  
Loïc Michel ◽  
◽  
Cristiana J. Silva ◽  
Delfim F. M. Torres ◽  
◽  
...  
Keyword(s):  
Optimal Control ◽  
Real Time ◽  
The State ◽  
State Solution ◽  
Control Constraints ◽  
Controlled System ◽  
Control Approach ◽  
Model Free ◽  
Model Free Control ◽  
Optimal Control Approach

<abstract><p>Controlling an epidemiological model is often performed using optimal control theory techniques for which the solution depends on the equations of the controlled system, objective functional and possible state and/or control constraints. In this paper, we propose a model-free control approach based on an algorithm that operates in 'real-time' and drives the state solution according to a direct feedback on the state solution that is aimed to be minimized, and without knowing explicitly the equations of the controlled system. We consider a concrete epidemic problem of minimizing the number of HIV infected individuals, through the preventive measure <italic>pre-exposure prophylaxis (PrEP)</italic> given to susceptible individuals. The solutions must satisfy control and mixed state-control constraints that represent the limitations on PrEP implementation. Our model-free based control algorithm allows to close the loop between the number of infected individuals with HIV and the supply of PrEP medication 'in real time', in such a manner that the number of infected individuals is asymptotically reduced and the number of individuals under PrEP medication remains below a fixed constant value. We prove the efficiency of our approach and compare the model-free control solutions with the ones obtained using a classical optimal control approach via Pontryagin maximum principle. The performed numerical simulations allow us to conclude that the model-free based control strategy highlights new and interesting performances compared with the classical optimal control approach.</p></abstract>

scholarly journals Author Correction: Reliance on model-based and model-free control in obesity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lieneke K. Janssen ◽  
Florian P. Mahner ◽  
Florian Schlagenhauf ◽  
Lorenz Deserno ◽  
Annette Horstmann
Keyword(s):  
Model Based ◽  
Model Free ◽  
Model Free Control

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

scholarly journals Real-Time Swing-up Control of Non-Linear Inverted Pendulum using Lyapunov based Optimized Fuzzy Logic Control

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Arpit Jain ◽  
Abhinav Sharma ◽  
Vibhu Jately ◽  
Brian Azzopardi ◽  
Sushabhan Choudhury
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Fuzzy Logic Control ◽  
Inverted Pendulum ◽  
Logic Control ◽  
Non Linear

Model-Based and Model-Free Control of DC-DC Converters with High-Order Dynamics and Limited Measurements

2020 ◽  
pp. 1-1
Author(s):  
Javier Loranca ◽  
Jonathan Carlos Mayo Maldonado ◽  
Gerardo Escobar ◽  
Carlos Villarreal-Hernandez ◽  
Thabiso Maupong ◽  
...  
Keyword(s):  
High Order ◽  
Model Based ◽  
Model Free ◽  
Model Free Control
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