Optimal model of bus dispatching scheme

This article deals with the issue of designing a flight tracking controller for an unmanned aerial vehicle type of quadrotor based on an optimal model-free fuzzy logic control approach. The main design objective is to perform an automatic flight trajectory tracking under multiple model uncertainties related to the knowledge of the nonlinear dynamics of the system. The optimal control is also addressed taking into consideration unknown external disturbances. To achieve this goal, we propose a new optimal model-free fuzzy logic–based decentralized control strategy where the influence of the interconnection term between the subsystems is minimized. A model-free controller is firstly designed to achieve the convergence of the tracking error. For this purpose, an adaptive estimator is proposed to ensure the approximation of the nonlinear dynamic functions of the quadrotor. The fuzzy logic compensator is then introduced to deal with the estimation error. Moreover, the optimization problem to select the optimal design parameters of the proposed controller is solved using the bat algorithm. Finally, a numerical validation based on the Parrot drone platform is conducted to demonstrate the effectiveness of the proposed control method with various flying scenarios.

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Optimal model identification of the PEMFCs using optimized Rotor Hopfield Neural Network

Energy Reports ◽

10.1016/j.egyr.2021.06.052 ◽

2021 ◽

Vol 7 ◽

pp. 3655-3663

Author(s):

Ming Yang ◽

Lu Zhang ◽

Tong-Yi Li ◽

Nasser Yousefi ◽

Yuan-Kang Li

Keyword(s):

Neural Network ◽

Model Identification ◽

Hopfield Neural Network ◽

Optimal Model

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Frequency-weighted -optimal model order reduction via oblique projection

International Journal of Systems Science ◽

10.1080/00207721.2021.1943561 ◽

2021 ◽

pp. 1-17

Author(s):

Umair Zulfiqar ◽

Victor Sreeram ◽

Mian Ilyas Ahmad ◽

Xin Du

Keyword(s):

Model Order Reduction ◽

Order Reduction ◽

Oblique Projection ◽

Optimal Model ◽

Model Order

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Alternative Effort-optimal Model-based Strategy for State Machine Testing of IoT Systems

Proceedings of the 2020 The 2nd World Symposium on Software Engineering ◽

10.1145/3425329.3425330 ◽

2020 ◽

Author(s):

Vaclav Rechtberger ◽

Miroslav Bures ◽

Bestoun S. Ahmed

Keyword(s):

State Machine ◽

Optimal Model ◽

Model Based

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Optimization of performance in multi-cell beams with different surface slopes for use in vehicle structure using a multi-objective evolutionary algorithm based on decomposition

Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications ◽

10.1177/1464420721997845 ◽

2021 ◽

pp. 146442072199784

Author(s):

S Chahardoli ◽

Mohammad Sheikh Ahmadi ◽

TN Tran ◽

Afrasyab Khan

Keyword(s):

Decomposition Method ◽

Experimental Tests ◽

Surface Slope ◽

Optimal Model ◽

Degree Polynomial ◽

Numerical Tests ◽

Numerical Studies ◽

Surface Slopes ◽

Vehicle Structure ◽

Number Of Cells

This study examined the effect of the upper surface slope and the number of cells in the side beams on the collapse properties using experimental and numerical tests. The numerical studies were conducted with LS-DYNA software, and the accuracy of numerical results was investigated by experimental tests. Using MATLAB software, the second-degree polynomial functions were obtained for the collapse properties of the specimens. Also, after the optimization by the decomposition method, the best mode was introduced for the specimens. The studies on collapse properties showed that increasing the number of cells leads to a decrease in all collapse properties, and increasing the upper surface slope leads to an increase in the collapse properties. Moreover, the optimization results by decomposition method showed that this method could suggest the most optimal model for multi-cell and sloping beams.

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