A safety-critical control scheme based on fully actuated system approach (FASA) framework is developed for spacecraft relative motion tracking under external disturbances and multiple forbidden regions. For tracking performance, the nominal controller is designed by using the FASA framework, such th...

Phosphoenolpyruvate carboxylase (PEPC) is a vital enzyme in plant carbon metabolism, catalyzing the conversion of phosphoenolpyruvate (PEP) to oxaloacetate (OAA), a key intermediate in numerous biosynthetic pathways. PEPC family members are usually classified into PTPC and BTPC subfamilies, and PTPC...

Bayesian Network (BN)–based Learning Path Recommendation (LPR) systems are widely adopted in personalized education for modeling uncertainty and providing interpretable learner representations. However, existing studies predominantly evaluate these systems under controlled settings that assume balan...

This Perspective discusses the limitations of current grid data prediction technologies and emphasizes the need for more reliable, interpretable, and data-driven approaches to support the increasing complexity of modern power systems and the ongoing energy transition.

In this paper, we present an important property of smooth function germs of orbit tangent space, and apply it to discuss the proof of Morse's Lemma.

The integration of information technology into agriculture is fundamental to modern agricultural development. However, traditional agricultural information models, which rely on analytical AI for prediction and monitoring, face significant limitations in handling unstructured data, generating action...

Linguistic picture fuzzy soft sets (LPFSSs) provide a powerful tool for handling uncertainties in decision-making problems, particularly when multiple parameters are involved. By integrating the advantages of linguistic picture fuzzy sets (LPFSs) and soft sets (SSs), LPFSSs prove especially effectiv...

As many IoT systems deploy machine learning models to implement intelligent functions, the reliability and performance assurance of artificial intelligence and the Internet of Things (AIoT) system is becoming a crucial issue. While reliability of AIoT system outputs can be improved by redundancy usi...

This study examines the problem of decentralized non-fragile dissipative control for a category of fractional-order linear uncertain large-scale systems. We assume that the subsystems uncertainty is norm-bounded and time-varying. Furthermore, we assume that the state-feedback gains for subsystems o...

This study addresses fracturing performance evaluation during shale oil well flowback by developing a seepage flowback mathematical model and a water-phase evaluation framework. A method calculating effective fracture pore volume via flowback water production data is proposed. Using Well H flowback...