In this work, an adaptive neural network (NN) optimized output-feedback control problem is studied for a class of stochastic nonlinear systems with unknown dynamics, input saturation, and state constraints. A observer designed to estimate the unmeasured states, NNs are used approximate functions. Under framework backstepping technique, virtual actual optimal controllers developed by employing actor-critic architecture. Meanwhile, tan-type Barrier performance index functions prevent from...

This article investigates the problem of fuzzy adaptive predefined-time terminal sliding mode (TSM) control for a third-order heterogeneous vehicular platoon system with an unknown dead zone. For purpose approximating nonlinear functions, logic systems (FLSs) are utilized. In addition, impact zone on performance may be lessened by building dead-zone compensation. A tracking error based modified constant time headway policy is built to get rid assumption zero initial spacing and decrease...

The adaptive neural network (NN) output-feedback optimal control issue has been investigated for a quarter-car active electric suspension systems, where the stiffness is unknown and partial state variables are unavailable measurement. NNs utilized to identify nonlinearities, an NN observer devised estimate unmeasurable states. For each backstepping step, via reinforcement learning (RL), critic–actor architecture designed get approximation solution of Hamilton–Jacobi–Bellman (HJB) equations...

In this paper, we propose a cloud-based benchmark for robotic grasping and manipulation, called the OCRTOC benchmark. The focuses on object rearrangement problem, specifically table organization tasks. We provide set of identical real robot setups facilitate remote experiments standardized scenarios in varying difficulties. workflow, users upload their solutions to our server code is executed scored automatically. After each execution, team resets experimental setup manually. also simulation...

Detection based on LiDAR and camera fusion is increasingly popular for researchers in the autonomous driving domain. Compared to camera-only LiDAR-only methods, fusion-based methods indeed improve detection accuracy public-available datasets. However, due complexity of projection or mechanism, few these can run real-time even an advanced desktop GPU. Thus, this paper, we propose a new model G-Fusion with light fast image view-transform module. According our receptive field analysis feature...

ABSTRACT Cutaneous candidiasis, caused by Candida albicans , is a severe and frustrating condition, finding effective treatments can be challenging. Therefore, the development of farnesol-loaded nanoparticles an exciting breakthrough. Ethosomes are novel transdermal drug delivery carrier that incorporates certain concentration (10–45%) alcohols into lipid vesicles, resulting in improved permeability encapsulation rates compared to conventional liposomes. Farnesol quorum-sensing molecule...

A real-time monocular vision based rear vehicle and motorcycle detection tracking approach is presented for lane change assistant (LCA). To achieve robustness accuracy this work detects tracks multiple vehicles motorcycles on road by combining cues. multi-resolution technology used to reduce computing complexity, all algorithms have been implemented an IMAP (integrated memory array processor) parallel board. The test results under various traffic scenes illustrated accuracy, of work.

Vision-based pedestrian detection remains a challenging task, so far. The performance often suffers from the various appearances of pedestrians, illumination changes, and possible partial occlusions. Aiming at resolving these challenges, in this paper, new linear kernel function is proposed to effectively combine two heterogeneous features, i.e., histogram oriented gradient local binary pattern, which enhances description ability conditions cluttered background. Then, novel multi-view-pose...

Some agriculture machinery like the transplanter, needs to operate by following crop-free ridges. In order improve working efficiency and quality, some autonomous navigation systems were developed applied ridge-following machinery. At present, agricultural are mainly satellite system machine vision system. The is difficult apply that work ridge because it cannot distinguish shape of navigated guide along ridge. this study, 697 cloudy images 235 sunny taken in field, these used as dataset....

This study presents a hierarchical background modelling and subtraction approach for real‐time detection of moving objects. At the first level, novel pixel‐wise method is proposed coarse detection. The can dynamically assign optimal number components each pixel with borrow–lend strategy. And flexible learning rate which variable different component presented to adapt scene changes. Additionally, new mechanism using framework finite state machine introduced maintain update models. second in...

Glucitol-core containing gallotannins (GCGs) are characteristic constituents of the red maple (Acer rubrum) species. To pursue development for nutraceutical applications, GCGs-enriched leaves extract (MLE) was evaluated its effects on obesity, gut dysbiosis and short chain fatty acids (SCFAs) production. Our results demonstrated that MLE alleviated high-fat diet-induced reduced body weight gain fat mass, improved liver steatosis insulin resistance, mitigated adipose hypertrophy inflammation....

There are many timing unreliable computing components in modern computer systems, which typically forbidden hard real-time systems due to the uncertainty. In this paper, we propose a computation offloading mechanism utilise these system, by providing local compensations. The key of is decide (1) how utilized and (2) set worst-case estimated response time. compensation has start when do not deliver results We scheduling algorithm its schedulability test analyze feasibility mechanism. To...

This paper presents a multi-type road marking recognition system by using monocular camera on moving platform. The can detect various markings. Firstly, an Inverse Perspective Mapping (IPM) transformation is introduced to suppress the perspective effect in image, and image slices which potentially belong markings are extracted based high brightness slice filtering. Secondly, prior knowledge of making applied generate candidate regions. Afterwards, coarse-to-fine method presented. In coarse...

Traffic light recognition is of great significance for driver assistance or autonomous driving. In this paper, a traffic system based on smartphone platforms proposed. First, an ellipsoid geometry threshold model in Hue Saturation Lightness color space built to extract interesting regions. These regions are further screened with postprocessing step obtain candidate that satisfy both and brightness conditions. Second, new kernel function proposed effectively combine two heterogeneous...

In this brief, a formation control problem is studied for class of second-order nonlinear multi-agent systems (MASs) with unknown state-delays. MAS control, the uncertainties system are approximated by neural networks (NNs). Moreover, novel Lyapunov function constructed to offset state delays. The effectiveness proposed scheme demonstrated simulation results.

Dear Editor, The optimal formation control design problem is studied for a class of second-order multi-agent systems (MASs) with obstacle avoidance. Based on the actor-critic framework, an optimized controller proposed by constructing novel performance index function. Furthermore, stability MAS proved Lyapunov simulation results are provided to depict effectiveness strategies.

Phenolipids are characteristic phytochemicals of Syzygium genus. However, the antidiabetic potential and underlying molecular mechanism these components not fully elucidated. Herein, we studied anti-diabetic effects jambone E (JE), a phenolipid from S. cumini, with in vitro vivo models. Data current study showed that JE enhanced glucose consumption uptake, promoted glycogen synthesis, suppressed gluconeogenesis insulin resistant (IR)-HepG2 cells primary mouse hepatocytes. also attenuated...