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Model-free adaptive (MFA) control

Computing and Control Engineering, 2004
Since its introduction in 1997, model-free adaptive control products have been widely deployed in most major process industries and achieved significant economical benefits for the users. It is the only 'no model' advanced controller on the market that can control complex systems without the need to use first-principle mathematical models or ...
openaire   +1 more source

Model-Free Learning Control for processes with constrained incremental control

2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006
This paper proposes a technique to design controllers for systems with constrained incremental control and input-output constraints called Model-Free Learning Control (MFLC). MFLC, which is based on Reinforcement Learning algorithms, is a simple approach without needing precise detailed information of the system.
S. Syafiie, F. Tadeo, E. Martinez
openaire   +1 more source

Model-free adaptive control of evaporators

IEEE Industry Applications on Dynamic Modeling Control Applications for Industry Workshop, 2002
This paper describes the application of an evaporator control system using a multivariable model-free adaptive (MFA) controller. The concept of model-free adaptive control is introduced. The system structure and commissioning steps are discussed. The successful application of controlling this severely coupled nonlinear multivariable process shows the ...
G. Cheng   +2 more
openaire   +1 more source

Some improvements on model free controller

2008 7th World Congress on Intelligent Control and Automation, 2008
Firstly we make a brief introduction of the algorithm and astringency of existing model free controller and then in this paper propose two methods to improve the existing controller. On the one hand, a model free controller with dead zone is presented in order to avoid frequent movement of control action and eliminate the vibration of the system in ...
null Junling Li, null Shugong Zhang
openaire   +1 more source

Model‐free control of a seeded batch crystallizer

The Canadian Journal of Chemical Engineering, 2017
AbstractAs the use of a batch crystallization process in several industrial applications is extensive, finding an effective control strategy is important to improve the product quality, which is typically characterized by a unimodal and narrow crystal size distribution (CSD) with a large mean crystal size.
Afsi, Nawel   +3 more
openaire   +2 more sources

Model-Free Adaptive Controllers

2021
Radu-Emil Precup   +2 more
openaire   +1 more source

Hybrid Model-Free and Model-Free Adaptive Fuzzy Controllers

2021
Radu-Emil Precup   +2 more
openaire   +1 more source

Model-free optimal control synthesis

2009
Abstract ...
Hamer, den, A.J.   +2 more
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Model-Free Controller for Microalgae Biorreactors

Memorias del Congreso Nacional de Control Automático
This work is proposed as a first simulation approach to controllers based on fast extremum seeking to maximize the biomass production of the microalgae Tetradesmus obliquus in various continuous operation scenarios. These controllers achieved an average performance of up to 96.7% (for stable input concentrations) and 105% (for variable concentrations ...
Alejandro Vargas   +1 more
openaire   +1 more source

Cervical cancer prevention and control in women living with human immunodeficiency virus

Ca-A Cancer Journal for Clinicians, 2021
Philip E Castle, Vikrant V Sahasrabuddhe
exaly  

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