Secure Finite-Time Filtering for Switched Fuzzy Systems with Scaling Attacks and Stochastic Sensor Faults

Research on Secure Finite-Time Filter Design for Switched Fuzzy Systems Academic Background In modern control systems, switched systems and fuzzy systems have garnered significant attention due to their effectiveness in handling complex nonlinear dynamics. However, with the proliferation of networked systems, these systems face threats from sensor ...

Nonlinear Displacement Control and Force Estimation in a Piezoelectric Robotic Manipulator

Academic Background In the fields of engineering and materials science, precise control of robotic manipulator displacement and force is crucial for studying the mechanical properties of materials, especially when dealing with objects exhibiting nonlinear viscoelastic deformation. For instance, in textiles, aerospace, medical, and energy production...

Hierarchical Non-Singular Terminal Sliding Mode Control for Constrained Under-Actuated Nonlinear Systems Against Sensor Faults

Background Introduction In modern engineering practices, under-actuated systems are widely used in fields such as overhead cranes, wheeled inverted pendulums, and snake robots due to their simple structure, low energy consumption, and high flexibility. However, the number of control inputs in under-actuated systems is less than the degrees of freed...

Fixed-Time Observation and Control for Network Systems: A Distributed Event-Based Saturation Adaptive Method

Academic Background Complex Networks (CNs) play a crucial role in fields such as sociology, engineering, and natural sciences, and are widely applied in scenarios like power distribution, traffic dispatching, and multi-agent collaboration. However, due to factors such as communication packet loss, sensor noise, and environmental uncertainties, obta...

Set-Membership Estimation for T–S Fuzzy Complex Networks: A Dynamic Coding-Decoding Mechanism

Academic Background In today’s complex network systems, state estimation is a critical issue, especially when dealing with uncertainties and noise. Complex networks typically consist of multiple interconnected nodes, and the dynamic behavior of each node may be influenced by nonlinear factors. The Takagi-Sugeno (T-S) fuzzy model has demonstrated si...

Finite-Time Adaptive Robust Trajectory Tracking Control for Dual-Arm Space Robot

Research on Finite-Time Adaptive Robust Trajectory Tracking Control for Dual-Arm Space Robots Research Background and Problem With the rapid development of space technology, space robots are playing an increasingly important role in on-orbit servicing, satellite assembly, spacecraft refueling, and other tasks. However, space robot systems face nume...

Gait Sensors with Customized Protruding Structures for Quadruped Robot Applications

Gait Sensors with Customized Protruding Structures for Quadruped Robot Applications

Research on Flexible Gait Sensors for Quadruped Robot Applications Background Introduction With the widespread application of robots in daily life and industrial production, especially in scenarios requiring standardized, persistent, and heavy-duty operations, the development of intelligent robots has gradually become a trend. However, robots still...

Evaluating Generalizability of Oncology Trial Results to Real-World Patients Using Machine Learning-Based Trial Emulations

Evaluation of the Generalizability of Oncology Trial Results Using Machine Learning-Based Trial Emulations Academic Background Randomized Controlled Trials (RCTs) are the gold standard for evaluating the efficacy of anti-cancer drugs, but their results often cannot be directly generalized to real-world oncology patients. RCTs typically employ stric...

Deep Learning to Quantify the Pace of Brain Aging in Relation to Neurocognitive Changes

As the global aging problem intensifies, the incidence of neurodegenerative diseases (such as Alzheimer’s Disease, AD) is increasing year by year. Brain aging (Brain Aging, BA) is one of the significant risk factors for neurodegenerative diseases, but it does not completely align with chronological age (Chronological Age, CA). Traditional methods f...

Enhancing Passive Cavitation Imaging Using Pth Root Compression Delay, Sum, and Integrate Beamforming: In Vitro and In Vivo Studies

Application of pth Root Compression Delay, Sum and Integrate Beamforming in Passive Cavitation Imaging Academic Background Passive Cavitation Imaging (PCI) is a technique used to monitor bubble activity during ultrasound therapy, widely applied in treatment scenarios such as drug delivery and tissue ablation (e.g., Histotripsy). However, existing P...