In this article, the iterative learning control (ILC) problem is investigated for a class of stochastic time-varying systems with variable pass lengths. The randomness lengths described by recursive interval Gaussian distribution, and modified iteration-average operator developed to construct novel ILC scheme overcoming limitation conventional algorithms that every must end in fixed time duration throughout repetition. proposed approach works effectively guarantee boundedness tracking...

ABSTRACT Purpose With the rapid development of artificial intelligence technology, highly intelligent and unmanned factories have become an important trend. In complex environments smart factories, long‐term tracking inspection specified targets, such as operators special products, well comprehensive visual recognition decision‐making capabilities throughout whole production process, are critical components automated factories. However, challenges target occlusion disappearance frequently...

This study is concerned with the fault‐tolerant (FT) formation control problem a guaranteed performance for non‐linear multi‐vehicle systems subject to actuator faults. The authors consider practical situation: information transferred between adjacent vehicles disturbed and each vehicle interfered by stochastic disturbance measurement noise. For vehicle, decentralised state observer an adaptive fault estimator are designed based on which novel cooperative FT (FTC) protocol proposed drive all...

Composite robots often encounter difficulties due to changes in illumination, external disturbances, reflective surface effects, and cumulative errors. These challenges significantly hinder their capabilities environmental perception the accuracy reliability of pose estimation. We propose a nonlinear optimization approach overcome these issues develop an integrated localization navigation framework, IIVL-LM (IMU, Infrared, Vision, LiDAR Fusion for Localization Mapping). This framework...

The rapid advancement of high-throughput sequencing has led to a great increase in data, resulting significant accumulation contamination, for example, sequences from non-target species may be present the target species’ data. Insecta, most diverse group within Arthropoda, still lacks comprehensive evaluation contamination prevalence public databases and an analysis potential causes. In this study, COI barcodes were used investigate insects mammals GenBank’s genomic transcriptomic data...

Under the conditions of strong sea clutter and complex moving targets, it is extremely difficult to detect targets in maritime surface. This paper proposes a new algorithm named improved tunable Q-factor wavelet transform (TQWT) for target detection. Firstly, this establishes model sparsely compensates Doppler migration fractional Fourier (FRFT) domain. Then, TQWT adopted decompose signal based on discrimination between target's oscillation characteristics, using basis pursuit denoising...

This paper focuses on the sea-surface weak target detection based memory-fully convolutional network (M-FCN) in strong sea clutter. Firstly, constant false alarm rate (CFAR) method utilizes a low threshold with high probability of to detect targets after non-coherent integration. Reducing can generate large number alarms while increasing rate, and how suppress is key improve performance detection. Then, result operated construct matrix suitable for size fully networks convolution operator...

This passage elucidates a research endeavor focused on addressing electromagnetic vibration challenges within permanent magnet synchronous motors. The narrative commences with an analytical derivation of the radial force expression in motors, employing Maxwell tensor method. A comprehensive summary detailing orders and frequencies is presented. Subsequently, spatiotemporal order table introduced, encapsulating principal forces 8-pole 48-slot motor. methodology involves meticulous simulation...

The broad-spectrum fungicides mepanipyrim (Mep) and cyprodinil (Cyp) have been reported to be used worldwide control gray mold of fruit crops. Consequently, they are often detected in the water food items. However, impacts potential mechanisms these two pesticides on environmental organisms remain unclear. Utilizing Caenorhabditis elegans (C. elegans) as model, toxic effects were analyzed after Mep Cyp exposure over four generations (P

In this paper, the distributed fault detection (FD) problem is addressed for a class of linear stochastic multi-agent systems (MASs). A novel cooperative control scheme given reaching bounded formation MAS. It proved that by using relative outputs between neighboring agents, set filters can be designed each agent to detect faults occurring in its general neighbor set. The recursive design protocols filter parameters are presented guarantee minimum variance estimation. residual generated...

This study dealt with the fault-tolerant cooperation problem for a class of time-varying multi-vehicle system actuator faults under mixed structure. Through solving coupled backward Riccati equations, distributed controller was designed satisfying proposed constraints. Finally, numerical simulation verified effectiveness method.

This note investigates fault-tolerant formation control for a type of linear leader-follower multi-agent systems (MASs) subject to actuator faults. For each following agent, the observer and fault estimator are constructed estimating agents' states fault, respectively. Based on obtained state estimation information, class scheme is given guarantee maintenance MAS. It proved that errors all agents may converge prescribed set around origin, if parameters cooperative controller, properly...

Traditional geometric registration based estimation methods only exploit the CAD model implicitly, which leads to their dependence on observation quality and deficiency occlusion.To address problem,the letter proposes a bidirectional correspondence prediction network with point-wise attention-aware mechanism. This not requires points predict but also explicitly models similarities between observations prior. Our key insight is that correlations each point scene provide essential information...

Traditional geometric registration based estimation methods only exploit the CAD model implicitly, which leads to their dependence on observation quality and deficiency occlusion. To address problem,the paper proposes a bidirectional correspondence prediction network with point-wise attention-aware mechanism. This not requires points predict but also explicitly models similarities between observations prior. Our key insight is that correlations each point scene provide essential information...

In this paper, the fault estimation (FE) problem for a class of nonlinear repetitive systems with bounded initial state errors is investigated by using an accelerated iterative learning (IL) approach. each iteration, only boundedness condition known, which can reduce conservativeness IL methods when applied to industrial production. The traditional algorithm modified adding weight coefficient accelerate speed and weaken or even eliminate negative influence on convergence errors. A sufficient...

In this paper, the fault estimation issue is investigated for a type of nonlinear stochastic repetitive systems using iterative learning (IL) approach. Different from existing works, with initial state errors, disturbance and measurement noise considered. order to estimate fault, novel observer (NILO) designed by previous input signals output errors. A necessary sufficient condition obtained guarantee uniform ultimate boundedness errors in terms λ-norm given IL strategy. Finally, approach...

This paper proposes two constructive approaches to design an attitude controller for a rigid spacecraft. Standard I&I control strategy gives new insight into the where manifold is rendered invariant and attractive. Finite-time improves performance by driving off-the-manifold variable converge zero in finite time. Detailed theoretical proof derivation of time are provided. Performance proposed controllers demonstrated simulations, comparison with backstepping method also given prove...