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Optimized control-system architecture comes with many production benefits. One of the tools for doing this is to perform a ...

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1 Laboratory of Electrical and Electronic Engineering (LGEE), National Higher Polytechnic School, Marien Ngouabi University, Brazzaville, Republic of the Congo. 2 School of Automation and Artificial ...

Abstract: This paper presents an adaptive neural network backstepping control design for an experimental helicopter with three rotational degrees of freedom. The helicopter system is described by a ...

To deal with the sideslip angle caused by the current disturbances or transverse motion for path following of under-actuated ships, a nonlinear observer established by an exponential function is ...

The unmanned aerial vehicle(UAV) used in agricultural fields usually has a load, which affects stability of flight trajectory. This problem is a great technical challenge and critical issue which has ...

Abstract: A backstepping based flight control system is presented for an overactuated flying wing aircraft, where the nonlinear control allocation method based on the combination of affine mapping and ...

In order to track the desired path under unknown parameters and environmental disturbances, an adaptive backstepping sliding mode control algorithm with a neural estimator is proposed for ...

The backstepping technique is greatly effective for the integer-order triangular non-linear systems. Nevertheless, it is dramatically challenging to implement backstepping technique in the ...