Results 181 to 190 of about 8,982 (215)

Flotation process with model free adaptive control

2017 IEEE International Conference on Information and Automation (ICIA), 2017
Flotation is a physical process to separate the useful mineral and gangue using the hydrophilicity or sparseness of the mineral itself or that from chemicals effects. Because of the non-linear, strong coupling, multivariate and time delay, it is hard to establish the quite accurate and effect model of flotation process, thus this paper proposes the ...
Wenqian Xue, Jialu Fan, Yi Jiang 0007
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Event driven model free control of quadrotor

2013 IEEE International Conference on Control Applications (CCA), 2013
In this paper we propose a new control approach, event driven model free control, which deals with the “tradeoff” between computational cost and system performance. The model free control scheme demands low computational resources and has high robustness, which is especially suitable for systems with complex dynamics and/or affected by disturbances ...
Wang, Jing, Geamanu, Marcel-Stefan, Cela, Arben, Mounier, Hugues, Niculescu, Silviu-Iulian   +4 more
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Design of Model Free Adaptive Controller for PMSM Speed Control

2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 2019
In order to gain favorable control performance of permanent magnet synchronous motor (PMSM) drive system in the presence of structural perturbation and load disturbance, model free adaptive control (MFAC) method is introduced in the design of speed controller, since it only relies on the input and the output measurement data of the controlled plant ...
Ye Zhao, Wei Zhang, Xinbing Wu
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Cooperative Adaptive Model-Free Control With Model-Free Estimation and Online Gain Tuning

IEEE Transactions on Cybernetics, 2022
In this article, a distributed adaptive model-free control algorithm is proposed for consensus and formation-tracking problems in a network of agents with completely unknown nonlinear dynamic systems. The specification of the communication graph in the network is incorporated in the adaptive laws for estimation of the unknown linear and nonlinear terms,
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Composition control for STEC plant by a model free control method

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004
Because of the use of binary mixtures ammonia and water as the working fluid in STEC, if the composition of ammonia is not high enough, the working fluid may condense in the turbine, which results in a fatal damage of turbine. Since controlled variable of vapor composition has a strong nonlinear relationship with state variables vapor pressure and ...
Zhao Zhong, Ikegami Yasuyuki, Nakamura Masatoshi   +2 more
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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
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Event-driven model-free control in motion control with comparisons

IMA Journal of Mathematical Control and Information, 2016
The event-driven model-free control is proposed in this article, which deals with the ‘trade-off’ between computational cost and system performance. Model-free controllers demand low computational resources and have high robustness, which is especially suitable for embedded systems with complex dynamics and/or affected by disturbances.
Wang, Jing, Mounier, Hugues, Niculescu, Silviu-Iulian, Geamanu, Marcel-Stefan, Cela, Arben   +4 more
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A Revisit to Model-Free Control

IEEE Transactions on Power Electronics, 2022
Wanrong Li, Huawei Yuan, Sinan Li, Jianguo Zhu   +3 more
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Modifications of Model Free Control to FOTD Plants

2018
Model free control (MFC) represents one of possible alternatives to traditional approaches as PID control, disturbance observer based control (DOBC), internal model control (IMC), etc. As one of its central features one could mention use of finite-impulse-response (FIR) filters in input disturbance reconstruction.
Mikulás Huba, Tomás Huba
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Model-Free Optimal Control: A Critical Analysis

2017
In this note, we present a critical analysis of machine learning techniques for applications involving optimal (feedback) control. Specifically, we will focus on the question of using reinforcement learning and other similar techniques in providing provably stable optimal controllers.
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