Considering the effects of external perturbations on the state vector and the output of the original system, this paper proposes a new adaptive integral observer method to deal with chaos synchronization between the drive and response systems with unknown parameters. The analysis and proof are given by means of the Lyapunov stability theorem and Barbalat lemma. This approach has fewer constrain...

in this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (anfis) for canceling maternal electrocardiogram (mecg) in fetal electrocardiogram extraction (fecg).this technique is used to estimate the mecg present in the abdominal signal of a pregnant woman. the fecg is then extracted by subtracting the estimated mecg from the abdominal signal. p...

in this paper, an adaptive neuro fuzzy inference system (anfis) based control is proposed for the tracking of a micro-electro mechanical systems (mems) gyroscope sensor. the anfis is used to train parameters of the controller for tracking a desired trajectory. numerical simulations for a mems gyroscope are looked into to check the effectiveness of the anfis control scheme. it proves that the sy...

in many autonomous mobile applications, robots must be capable of analyzing motion of moving objects in their environment. duringmovement of robot the quality of images is affected by quakes of camera which cause high errors in image processing outputs. in thispaper, we propose a novel method to effectively overcome this problem using neural networks and kalman filtering theory. thistechnique u...

Substantial damage may occur when a rotary actuator fails during operation. Therefore, effective fault diagnosis of a rotary actuator is crucial to ensuring the safety of the device. However, only a few studies on fault detection, fault isolation, and performance assessment have focused on rotary actuators. In this study, fault detection and fault isolation processes were implemented by designi...

In actual work, the system parameters of robot joints will change in real time or cannot be measured, and coupling relationship between various subsystems existence modeling errors make model difficult to determine. Based on such problems, a neural network observation is proposed Decentralized control method for robot. manipulator, firstly, each joint subsystem established by decentralized theo...

With the aim of addressing problem trajectory tracking control quadrotor unmanned aircraft robots (UARs), in this study, we developed a neural network and event-triggering mechanism-based adaptive scheme for UAR system. The main technologies included are as follows. (1) Under condition that only quadrotor’s position information can be obtained, modified high-gain state observer-based dynamic su...

This paper addresses the issue of course keeping control (CKC) for unmanned surface vehicles (USVs) under network environments, where various challenges, such as resource constraints and discontinuities yaw caused by data transmission, are taken into account. To tackle constraints, an event-sampled scheme is developed to obtain data, a novel adaptive neural-network-based state observer (NN–SO) ...

In this paper, sensor fault diagnosis and tolerant control strategy are investigated for quadcopters under faults disturbances. We propose the estimation system fault-tolerant (FTC) method. The provides time-varying an unknown bound of Moreover, eliminates disturbance that is estimated through associated observer. Overall, proposed FTC guarantees finite-time tracking convergence using nonsingul...