FUNNEL-BASED ADAPTIVE NEURAL FAULT-TOLERANT CONTROL FOR NONLINEAR SYSTEMS WITH DEAD-ZONE AND ACTUATOR FAULTS: APPLICATION TO RIGID ROBOT MANIPULATOR AND INVERTED PENDULUM SYSTEMS

This study addresses an adaptive neural funnel fault-tolerant control problem for a class of strict-feedback nonlinear systems with actuator faults and input dead zone.To guarantee the boundedness of the tracking error, a modified transformation for funnel error is devised and incorporated into the control Melatonin design process.To manage unknown

Recent technologies have changed the way media of the human being, which shall establish direct contact with many people anywhere in the world.Allied to this fact, there is a virtualization increasing the human person, culminating in an immersion in the virtual world, which ultimately creates an increasing dependence on technology in order to exist

A survey of total loss accidents in merchant shipping over aperiod of 30 years shows that these can be arranged in the Conditioner followingorder: stranding, fire, water-leaks, gales and collision;other accidents are also taken into consideration.The analysisconsiders ships over 500 GT of different flags, plying any routeof navigation.Initially, a

Efficient approximation Lanyard Bead lies at the heart of large-scale machine learning problems.In this paper, we propose a novel, robust maximum entropy algorithm, which is capable of dealing with hundreds of moments and allows for computationally efficient approximations.We showcase the usefulness of the proposed method, its Drill Press equivalen

Pneumatic linear peristaltic actuators present several potential advantages over conventional ones such Lanyard Bead as low cost, virtually unlimited stroke, and an easy implementation of curved motion profiles.However, the body of this type of actuators also suffers from high mechanical stress, leading to a decrease in the hose wall thickness, whi