Neural-network-based adaptive funnel control for servo mechanisms with unknown dead-zone

S Wang, H Yu, J Yu, J Na, X Ren - IEEE transactions on …, 2018 - ieeexplore.ieee.org
… an improved funnel function in a dynamic surface control procedure, an adaptive funnel
controller is proposed to guarantee that the output error remains within a predefined funnel

Neural network-based adaptive funnel sliding mode control for servo mechanisms with friction compensation

S Wang, Q Chen, X Ren, H Yu - Neurocomputing, 2020 - Elsevier
… In this paper, a novel adaptive funnel sliding mode control scheme is proposed for … neural
network (NN). Moreover, a modified funnel variable, which relaxes limitation in original funnel

Fuzzy echo state neural networks and funnel dynamic surface control for prescribed performance of a nonlinear dynamic system

SI Han, JM Lee - IEEE Transactions on Industrial Electronics, 2013 - ieeexplore.ieee.org
… and thus general effectiveness of the funnel control scheme has not fully evaluated. … funnel
control [19-23]. Instead, we introduce a modified funnel error variable similar to funnel control

PI-funnel control for two mass systems

A Ilchmann, H Schuster - … Transactions on Automatic Control, 2009 - ieeexplore.ieee.org
… As opposed to control strategies invoking identification mechanisms or neural networks, we
… Output behaviour with prespecified accuracy is guaranteed by the funnel controller, active …

Adaptive neural funnel control for nonlinear two-inertia servo mechanisms with backlash

S Wang, H Yu, J Yu, X Gao - IEEE Access, 2019 - ieeexplore.ieee.org
… an adaptive neural funnel control for two-… funnel variable is defined and incorporated into
control design. The unknown dynamics are approximated by using echo state neural network

Funnel control of nonlinear systems

T Berger, A Ilchmann, EP Ryan - … of Control, Signals, and Systems, 2021 - Springer
… Instead, neural networks are used to approximate the unknown nonlinearities of the system,
resulting in a complicated controller structure. After some developments, the complexity …

Neural-Network-Based Adaptive Funnel Control for Strict-Feedback Systems with Tracking Error and State Constraints

Y Cheng, X Ren - 2021 IEEE 10th Data Driven Control and …, 2021 - ieeexplore.ieee.org
… In this paper, a NNs-based adaptive funnel control strategy is proposed to achieve the
error/state constrains of the strictfeedback systems with unknown disturbances and unknown …

Finite-time neural funnel control for motor servo systems with unknown input constraint

Q Chen, X Tang, Y Nan, X Ren - Journal of Systems Science and …, 2017 - Springer
… In this paper, a finite-time neural network funnel control is proposed for motor servo systems
with unknown input saturation. The non-smooth saturation can be transformed into an affine …

Air-breathing hypersonic vehicles funnel control using neural approximation of non-affine dynamics

X Bu - IEEE/ASME Transactions On Mechatronics, 2018 - ieeexplore.ieee.org
neural approximation for prescribed tracking of air-breathing hypersonic vehicles (AHVs). We
propose a new funnel control … rather than the elements of neural networks’ weight vectors, …

Adaptive finite-time congestion controller design of TCP/AQM systems based on neural network and funnel control

K Wang, Y Jing, Y Liu, X Liu, GM Dimirovski - Neural Computing and …, 2020 - Springer
… finite-time congestion control problem of transmission control protocol/active queue
management. By means of the funnel control, neural networks and sliding mode control, a new AQM …