Adaptive fuzzy control for a class of MIMO underactuated systems with plant uncertainties and actuator deadzones: Design and experiments
T Yang, N Sun, Y Fang - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
In the field of modern industrial engineering, many mechanical systems are underactuated,
exhibiting strong nonlinear characteristics and high flexibility. However, the lack of control …
exhibiting strong nonlinear characteristics and high flexibility. However, the lack of control …
Nonlinear control of underactuated systems subject to both actuated and unactuated state constraints with experimental verification
H Chen, N Sun - IEEE Transactions on Industrial Electronics, 2019 - ieeexplore.ieee.org
In practice, underactuated systems are widely used, and their control problems have
attracted much attention in recent years. For safety concerns or transient performance …
attracted much attention in recent years. For safety concerns or transient performance …
Near-optimal control of nonlinear dynamical systems: A brief survey
For nonlinear dynamical systems, an optimal control problem generally requires solving a
partial differential equation called the Hamilton–Jacobi–Bellman equation, the analytical …
partial differential equation called the Hamilton–Jacobi–Bellman equation, the analytical …
Adaptive neural network output feedback control of uncertain underactuated systems with actuated and unactuated state constraints
Underactuated systems are widely applied in industry, construction, manufacturing, etc., and
the complex working environment puts forward higher demands for safety and transient …
the complex working environment puts forward higher demands for safety and transient …
RNN models for dynamic matrix inversion: A control-theoretical perspective
In this paper, the existing recurrent neural network (RNN) models for solving zero-finding
(eg, matrix inversion) with time-varying parameters are revisited from the perspective of …
(eg, matrix inversion) with time-varying parameters are revisited from the perspective of …
Design of robust terminal sliding mode control for underactuated flexible joint robot
Flexible joint robot (FJR) manipulators can offer many attractive features over rigid
manipulators, including light weight, safe operation, and high power efficiency. However, the …
manipulators, including light weight, safe operation, and high power efficiency. However, the …
New noise-tolerant neural algorithms for future dynamic nonlinear optimization with estimation on Hessian matrix inversion
Nonlinear optimization problems with dynamical parameters are widely arising in many
practical scientific and engineering applications, and various computational models are …
practical scientific and engineering applications, and various computational models are …
Adaptive optimal motion control of uncertain underactuated mechatronic systems with actuator constraints
Underactuated mechatronic systems are widely used in industrial production, where the
control efforts and operation accuracy are both important aspects of performance …
control efforts and operation accuracy are both important aspects of performance …
Trajectory tracking of multi-legged robot based on model predictive and sliding mode control
Y Gao, W Wei, X Wang, D Wang, Y Li, Q Yu - Information Sciences, 2022 - Elsevier
To address the problem of achieving accurate tracking control of multi-legged robots, which
is difficult due to their strong coupling structure, this paper decomposes the trajectory …
is difficult due to their strong coupling structure, this paper decomposes the trajectory …
Singularity-free continuous adaptive control of uncertain underactuated surface vessels with prescribed performance
JX Zhang, T Chai - IEEE Transactions on Systems, Man, and …, 2021 - ieeexplore.ieee.org
This article is dealt with the problem of trajectory tracking with prescribed performance for a
family of underactuated surface vessels (USVs) under model uncertainties and …
family of underactuated surface vessels (USVs) under model uncertainties and …