Adaptive neural control for dual-arm coordination of humanoid robot with unknown nonlinearities in output mechanism

Z Liu, C Chen, Y Zhang… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
To achieve an excellent dual-arm coordination of the humanoid robot, it is essential to deal
with the nonlinearities existing in the system dynamics. The literatures so far on the …

State estimation of T–S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control

MS Ali, N Gunasekaran, Q Zhu - Fuzzy Sets and Systems, 2017 - Elsevier
In this paper, we are concerned with the problem of state estimation of Takagi–Sugeno (T–
S) fuzzy delayed neural networks with Markovian jumping parameters via sampled-data …

Fuzzy control based on reinforcement learning and subsystem error derivatives for strict-feedback systems with an observer

D Li, J Dong - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
In this article, a novel optimized fuzzy adaptive control method based on tracking error
derivatives of subsystems is proposed for strict-feedback systems with unmeasurable states …

Robust adaptive fault-tolerant tracking control for nonaffine stochastic nonlinear systems with full-state constraints

LB Wu, JH Park, NN Zhao - IEEE Transactions on Cybernetics, 2019 - ieeexplore.ieee.org
In this article, the adaptive fault-tolerant tracking control problem of nonaffine stochastic
nonlinear systems with actuator failures and full-state constraints is studied. To surmount the …

Command filtering-based fuzzy control for nonlinear systems with saturation input

J Yu, P Shi, W Dong, C Lin - IEEE Transactions on Cybernetics, 2016 - ieeexplore.ieee.org
In this paper, command filtering-based fuzzy control is designed for uncertain multi-input
multioutput (MIMO) nonlinear systems with saturation nonlinearity input. First, the command …

Event-triggered adaptive fuzzy fault-tolerant control for stochastic nonlinear systems via command filtering

J Qiu, M Ma, T Wang - IEEE Transactions on Systems, Man …, 2020 - ieeexplore.ieee.org
This article investigates the command filtering-based event-triggered adaptive fuzzy control
problem for a class of stochastic nonlinear systems with stochastic faults and input …

Neural networks-based command filtering control of nonlinear systems with uncertain disturbance

J Yu, B Chen, H Yu, C Lin, L Zhao - Information Sciences, 2018 - Elsevier
This paper is concerned with neural networks-approximation based command filtering
backstepping control for uncertain strict-feedback nonlinear systems with unknown …

Adaptive path-following control for an unmanned surface vessel using an identified dynamic model

J Shin, DJ Kwak, Y Lee - IEEE/ASME transactions on …, 2017 - ieeexplore.ieee.org
This paper proposes a path-following control method for an unmanned surface vessel (USV)
based on an identified dynamic model. To handle the USV dynamic model effectively, a …

Adaptive fuzzy fixed-time decentralized control for stochastic nonlinear systems

K Li, Y Li, G Zong - IEEE Transactions on Fuzzy Systems, 2020 - ieeexplore.ieee.org
This article studies the problem of adaptive fuzzy fixed-time decentralized control for
nonlinear interconnected systems with stochastic disturbances and unknown nonlinearities …

Adaptive neural control of MIMO nonstrict-feedback nonlinear systems with time delay

X Zhao, H Yang, HR Karimi… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, an adaptive neural output-feedback tracking controller is designed for a class
of multiple-input and multiple-output nonstrict-feedback nonlinear systems with time delay …