A neural flexible PID controller for task-space control of robotic manipulators

NT Minh Nguyet, DX Ba - Frontiers in Robotics and AI, 2023 - frontiersin.org
This paper proposes an adaptive robust Jacobian-based controller for task-space position-
tracking control of robotic manipulators. Structure of the controller is built up on a traditional …

A LQR-based neural-network controller for fast stabilizing rotary inverted pendulum

HV Nghi, DP Nhien, NTM Nguyet… - … on system science …, 2021 - ieeexplore.ieee.org
Inverted Pendulum (IP) is an unstable and highly nonlinear system. It is used as a common
model for engineering applications in linear and nonlinear control. So, IP has been …

Tracking control of uncertain robotic systems with function constraints on states

S Zhou - 2022 41st Chinese Control Conference (CCC), 2022 - ieeexplore.ieee.org
This work investigates an adaptive control approach for output constrained uncertain robotic
systems. In contrast to the currently studied case, where the constraint boundary functions …

A Neural PID End-effector Controller for Robotic Manipulator with Joint Position Constraints

NTM Nguyet, DX Ba - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
We present a novel efficient method to control the end-effector of robotic manipulators
without solving the inverse kinematics problem in the presence of the hard bound on the …

A high-performance speech-recognition method based on a nonlinear neural network

PH Binh, PV Hoang, DX Ba - 2021 international conference on …, 2021 - ieeexplore.ieee.org
Speech recognition is an important technology to enable and improve human-human and
human-computer interactions. In this paper, we present a high-performance speech …

A Smart Direct Controller for a 3-DOF Robot

PT Phat, BM Huy, DX Ba - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
In this paper, we present an intelligent controller for position control of a 3DOF robot using a
Jacobian-based approach. The core baseline of the controller is established from a …

[PDF][PDF] Deep Neural Evolution of Inverse Models for Predictive Control

MPE Ademir - 2021 - repository.dl.itc.u-tokyo.ac.jp
ABSTRACT The Control Theory is a branch of applied mathematics and engineering that
forces physical dynamic systems using feedback information with specific and strict …