Underactuated robotics: a review
Underactuated robotics is an emerging research direction in the field of robotics. The control
input of the underactuated robot is less than the degree of freedom of the system. It has the …
input of the underactuated robot is less than the degree of freedom of the system. It has the …
Command filter-based adaptive fuzzy self-triggered control for MIMO nonlinear systems with time-varying full-state constraints
This paper focuses on the adaptive fuzzy self-triggered tracking controller design for full-
state constrained multiple-input and multiple-output nonlinear systems. The implementation …
state constrained multiple-input and multiple-output nonlinear systems. The implementation …
Event-triggered fuzzy bipartite tracking control for network systems based on distributed reduced-order observers
H Liang, X Guo, Y Pan, T Huang - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
This article studies the distributed observer-based event-triggered bipartite tracking control
problem for stochastic nonlinear multiagent systems with input saturation. First, different from …
problem for stochastic nonlinear multiagent systems with input saturation. First, different from …
Fuzzy adaptive finite-time fault-tolerant control for strict-feedback nonlinear systems
This article devotes to investigating the issue of fuzzy adaptive control for a class of strict-
feedback nonlinear systems with nonaffine nonlinear faults. The computational complexity is …
feedback nonlinear systems with nonaffine nonlinear faults. The computational complexity is …
Event-triggered control for multiagent systems with sensor faults and input saturation
L Cao, H Li, G Dong, R Lu - IEEE Transactions on Systems …, 2019 - ieeexplore.ieee.org
An adaptive neural network (NN) event-triggered control scheme is proposed for nonlinear
nonstrict-feedback multiagent systems (MASs) against input saturation, unknown …
nonstrict-feedback multiagent systems (MASs) against input saturation, unknown …
Finite-time adaptive fuzzy control for MIMO nonlinear systems with input saturation via improved command-filtered backstepping
G Cui, J Yu, QG Wang - IEEE Transactions on Systems, Man …, 2020 - ieeexplore.ieee.org
In this article, the problem of finite-time adaptive fuzzy tracking control for multi-input and
multi-output (MIMO) nonlinear systems with input saturation is investigated. The new finite …
multi-output (MIMO) nonlinear systems with input saturation is investigated. The new finite …
Adaptive tracking control for output-constrained switched MIMO pure-feedback nonlinear systems with input saturation
In this paper, an adaptive neural tracking control scheme for a class of uncertain switched
multi-input multi-output (MIMO) pure-feedback nonlinear systems is proposed. The …
multi-input multi-output (MIMO) pure-feedback nonlinear systems is proposed. The …
Adaptive neural network control of a flexible spacecraft subject to input nonlinearity and asymmetric output constraint
This article focuses on the vibration reducing and angle tracking problems of a flexible
unmanned spacecraft system subject to input nonlinearity, asymmetric output constraint, and …
unmanned spacecraft system subject to input nonlinearity, asymmetric output constraint, and …
Distributed maneuvering of autonomous surface vehicles based on neurodynamic optimization and fuzzy approximation
This brief is concerned with the distributed maneuvering of multiple autonomous surface
vehicles guided by a virtual leader moving along a parameterized path. In the guidance …
vehicles guided by a virtual leader moving along a parameterized path. In the guidance …
Output-feedback path-following control of autonomous underwater vehicles based on an extended state observer and projection neural networks
This paper presents a design method for output-feedback path-following control of under-
actuated autonomous underwater vehicles moving in a vertical plane without using surge …
actuated autonomous underwater vehicles moving in a vertical plane without using surge …