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Fuzzy-Neural Impedance Control for Robots
In conventional impedance control, the difficulties encountered in obtaining an exact system dynamic model and selecting its impedance parameters...
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Adaptive Neural Network Control of Space-Mission Universal Mechatronic Module
AbstractA review of methods for adaptive neural network control of actuators based on a stepper motor is presented. A model of a universal...
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Force/position Control of Constrained Mobile Manipulators with Fast Terminal Sliding Mode Control and Neural Network
The purpose of this article is to present a fast terminal sliding mode control scheme for constrained mobile manipulators with both holonomic and...
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Vehicle Platoon Tracking Control Based on Adaptive Neural Network Algorithm
To improve the tracking efficiency of the platoon during driving and ensure the spacing safety between vehicles, a platoon tracking control strategy...
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Control of constrained mobile manipulators with unknown wheel slippage, using neural network based backstep** control technique
This paper studies the control problem of constrained mobile manipulators with unknown wheel slippage, and a neural network based backstep**...
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Neural Network Robust Control Based on Computed Torque for Lower Limb Exoskeleton
The lower limb exoskeletons are used to assist wearers in various scenarios such as medical and industrial settings. Complex modeling errors of the...
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Event-triggered fuzzy neural multivariable control for a municipal solid waste incineration process
Because of coupling, nonlinearity, and uncertainty in a municipal solid waste incineration (MSWI) process, a suitable multivariable controller is...
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Adaptive neural dynamic-based hybrid control strategy for stable retrieval of tethered satellite systems
This study proposes a novel adaptive neural dynamic-based hybrid control strategy for stable subsatellite retrieval of two-body tethered satellite...
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Neural Networks Based Optimal Tracking Control of a Delta Robot With Unknown Dynamics
This paper proposes a data-driven optimal tracking control scheme for unknown general nonlinear systems using neural networks. First, a new neural...
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Event-based neural learning for quadrotor control
The design of a simple and adaptive flight controller is a real challenge in aerial robotics. A simple flight controller often generates a poor...
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Decentralized fault-tolerant control of modular robot manipulators with actuator saturation: neural adaptive integral terminal sliding mode-based control approach
A novel neural adaptive integral terminal sliding mode control for decentralized fault-tolerant control strategy, including the integral terminal...
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Robust humanoid robot walking using hybrid flywheel evolutionary neural control
Humanoid robot represents a highly uncertain dynamic plant. Nowadays, humanoid push recovery in step** represents a complicated and challenging...
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Control of robot manipulators with uncertain closed architecture using neural networks
This paper presents a novel neural network-based control approach designed for industrial robot manipulators characterized by uncertain closed...
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Exponential Synchronization of Stochastic Time-delayed Memristor-based Neural Networks via Pinning Impulsive Control
This paper investigates the exponential synchronization of stochastic time-delayed memristor-based neural networks(MBNNs) with using pinning...
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Estimator-based dynamic learning from neural control of discrete-time strict-feedback systems
The dynamic learning issue from adaptive neural control for a class of discrete-time strict-feedback nonlinear systems is the main topic of this...
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Neural network-based integral sliding mode control of arbitrary nonlinear systems with unknown bounded disturbances
In this paper, a new technique of online learning radial basis function neural network-based integral sliding mode control for unknown nonlinear...
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Robust adaptive control of uncertain dynamic systems using self-evolving neural learning technique
This paper proposes an advanced self-evolving regressive neural (ASE-GRNN) algorithm developed to control of the highly nonlinear uncertain plants...
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Enhancing jum** performance of bionic leg with pneumatic muscle actuation based on neural network control
Most robot bionic legs are driven by motors, but bionic legs driven by pneumatic artificial muscles (PAM) have the advantages of being lightweight...
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Adaptive robust motion/force control of constrained mobile manipulators using RBF neural network
This paper presents a method for trajectory tracking of constrained mobile manipulators under both holonomic and nonholonomic constraints. An...
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Control of coordinated multiple mobile manipulators with neural network-based fast terminal sliding mode control
For the control of coordinated multiple mobile manipulators, a neural network-based fast terminal sliding mode control scheme is presented in this...
