A review on drones controlled in real-time
V Kangunde, RS Jamisola Jr, EK Theophilus - International journal of …, 2021 - Springer
This paper presents related literature review on drones or unmanned aerial vehicles that are
controlled in real-time. Systems in real-time control create more deterministic response such …
controlled in real-time. Systems in real-time control create more deterministic response such …
Advancements in humanoid robots: A comprehensive review and future prospects
This paper provides a comprehensive review of the current status, advancements, and future
prospects of humanoid robots, highlighting their significance in driving the evolution of next …
prospects of humanoid robots, highlighting their significance in driving the evolution of next …
Dynamical modeling and boundary vibration control of a rigid-flexible wing system
W He, T Wang, X He, LJ Yang… - IEEE/ASME transactions …, 2020 - ieeexplore.ieee.org
A boundary control approach is used to control a two-link rigid-flexible wing in this article. Its
design is based on the principle of bionics to improve the mobility and the flexibility of …
design is based on the principle of bionics to improve the mobility and the flexibility of …
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 …
Obstacle avoidance and tracking control of redundant robotic manipulator: An RNN-based metaheuristic approach
In this article, we present a metaheuristic-based control framework, called beetle antennae
olfactory recurrent neural network, for simultaneous tracking control and obstacle avoidance …
olfactory recurrent neural network, for simultaneous tracking control and obstacle avoidance …
Robust adaptive fixed-time sliding-mode control for uncertain robotic systems with input saturation
In this article, a robust adaptive fixed-time sliding-mode control method is proposed for
robotic systems with parameter uncertainties and input saturation. First, a model-based fixed …
robotic systems with parameter uncertainties and input saturation. First, a model-based fixed …
On time-synchronized stability and control
Previous research on finite-time control focuses on forcing a system state (vector) to
converge within a certain time moment, regardless of how each state element converges. In …
converge within a certain time moment, regardless of how each state element converges. In …
Fixed-time adaptive fuzzy control for uncertain nonstrict-feedback systems with time-varying constraints and input saturations
J Sun, J Yi, Z Pu - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
This article investigates the adaptive fuzzy tracking control design for uncertain nonstrict-
feedback nonlinear systems with time-varying constraints and asymmetric input saturations …
feedback nonlinear systems with time-varying constraints and asymmetric input saturations …
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 …
Optimal robot–environment interaction under broad fuzzy neural adaptive control
This article proposes a novel control strategy based on a broad fuzzy neural network (BFNN)
which is subjected to contact with the unknown environment. Compared with the …
which is subjected to contact with the unknown environment. Compared with the …