Yanlong Zhao

ORCID: 0000-0003-0131-3597
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Control Systems and Identification
  • Fault Detection and Control Systems
  • Target Tracking and Data Fusion in Sensor Networks
  • Distributed Sensor Networks and Detection Algorithms
  • Distributed Control Multi-Agent Systems
  • Neural Networks and Applications
  • Adaptive Control of Nonlinear Systems
  • Neural Networks Stability and Synchronization
  • Structural Health Monitoring Techniques
  • Advanced Control Systems Optimization
  • Advanced Adaptive Filtering Techniques
  • Smart Grid Security and Resilience
  • Stability and Control of Uncertain Systems
  • Genetic Associations and Epidemiology
  • Advanced Algorithms and Applications
  • Image and Signal Denoising Methods
  • Probabilistic and Robust Engineering Design
  • Statistical Methods and Inference
  • Iterative Learning Control Systems
  • Credit Risk and Financial Regulations
  • Network Security and Intrusion Detection
  • Industrial Technology and Control Systems
  • Blind Source Separation Techniques
  • Inertial Sensor and Navigation
  • Protein Structure and Dynamics

Chinese Academy of Sciences
2016-2025

University of Chinese Academy of Sciences
2010-2025

Zhengzhou University
2025

Beihang University
2023-2025

Academy of Mathematics and Systems Science
2016-2025

Shandong First Medical University
2024

State Grid Corporation of China (China)
2024

Lanzhou Jiaotong University
2024

Second Affiliated Hospital of Jilin University
2024

Taiyuan University of Science and Technology
2024

This article addresses the security issue against data tampering attacks in identification of finite impulse response (FIR) systems with binary-valued observations. First, rate and estimation error caused by network attack are derived. From perspective attacker, it is investigated how to achieve maximum effect minimum energy. Second, compensation-type defense scheme designed. Under this, algorithm constructed, its strong convergence proved. Taking covariance matrix as performance index,...

10.1109/tsmc.2023.3276352 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2023-05-25

Abstract Motivation: The use of allosteric modulators as preferred therapeutic agents against classic orthosteric ligands has colossal advantages, including higher specificity, fewer side effects and lower toxicity. Therefore, the computational prediction sites in proteins is receiving increased attention field drug discovery. Allosite a newly developed automatic tool for interest now available through web server. Availability: server tutorials are freely at http://mdl.shsmu.edu.cn/AST...

10.1093/bioinformatics/btt399 article EN Bioinformatics 2013-07-09

Gene-environment interaction (G×E) analysis elucidates the interplay between genetic and environmental factors. Genome-wide association studies (GWAS) have expanded to encompass complex traits like time-to-event ordinal traits, which provide richer phenotypic information. However, most existing scalable approaches focus only on quantitative or binary traits. Here we propose SPAGxECCT, a accurate framework for diverse trait types. SPAGxECCT fits genotype-independent model employs hybrid...

10.1038/s41467-025-57887-3 article EN cc-by-nc-nd Nature Communications 2025-03-29

The phosphatidylinositol 3-kinase (PI3K) signaling pathway plays important roles in cell proliferation, growth, and survival. Hyperactivated PI3K is frequently found a wide variety of human cancers, validating it as promising target for cancer therapy. We determined the crystal structure PI3Kα-PI103 complex to unravel molecular interactions. Based on structure, substitution at R1 position phenol portion PI103 was demonstrated improve binding affinity via forming new H-bond with Lys802 bottom...

10.1021/ml400378e article EN ACS Medicinal Chemistry Letters 2013-12-10

This paper studies consensus problems of multi-agent systems with binary-valued communications. Different from most existing works, the agents considered in this can only get observations its neighbors' states random noises. A algorithm is proposed: first, each agent estimates by recursive projection algorithm; then, designs control timely based on estimates. It proved that converge to true a faster convergence rate than parameter estimation. Moreover, achieve mean-square consensus, and...

10.1109/tac.2019.2942569 article EN IEEE Transactions on Automatic Control 2019-09-19

With the popularization and application of cyber–physical systems in many industry infrastructure fields, security issue has been quite an important concern. This article addresses defense problem against data tampering attack under framework system identification with binary-valued observations. From perspective attacker, it is shown that how to achieve maximum hit effect least energy. defender, a so-called compensation-oriented approach proposed, corresponding algorithm designed. The...

10.1109/tac.2020.3029325 article EN IEEE Transactions on Automatic Control 2020-10-07

The activation of molecular chaperone heat-shock protein 90 (Hsp90) is dependent on ATP binding and hydrolysis, which occurs in the N-terminal domains protein. Here, we have determined three crystal structures domain human Hsp90 native complex with analog, providing a clear view catalytic mechanism hydrolysis by Hsp90. Additionally, leads to be an intermediate state that could used partially explain why isolated has very weak hydrolytic activity.

10.1093/abbs/gms001 article EN Acta Biochimica et Biophysica Sinica 2012-02-09

This paper studies the consensus of multiagent systems with binary-valued communication. We consider a group agents on an undirected graph fixed topology, differing from most existing work, information each agent gets its neighbors are measurements stochastic noises. A two-time-scale protocol that alternates estimation and control is constructed: Each in system estimates states neighbors' based for dwelt time, during which every agent's state will keep constant; Based estimations own state,...

10.1109/tac.2018.2814632 article EN IEEE Transactions on Automatic Control 2018-03-09

In this article, for the single-input–single-output (SISO) nonlinear strict-feedback system, optimized backstepping (OB) control combined with dynamic surface (DS) technique is developed. OB to make every subsystem of as one so ensure entire being optimized. However, original design still needs repeatedly calculate derivative virtual controls, a result, it will inevitably cause problem "differential explosion." order alleviate phenomenon, DS technique. Furthermore, conduct reinforcement...

10.1109/tsmc.2024.3379356 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2024-04-05

This work is concerned with identification of Hammerstein systems whose outputs are measured by quantized sensors. The system consists a memoryless nonlinearity that polynomial and possibly noninvertible, followed linear subsystem. parameters nonlinear parts unknown but have known orders. Input design, algorithms, their essential properties presented under the assumptions distribution function noise quantization thresholds known. concept strongly scaled full rank signals introduced to...

10.1137/070707877 article EN SIAM Journal on Control and Optimization 2010-01-01

Abstract Wearable epidermic electronics assembled by conductive hydrogels exhibit great application potential for their seamless integration with the human body human‐machine interactions (HMI). However, most multifunctional hydrogel sensors are prone to water loss and become useless e‐waste, resulting in a growing threat global environment health. Inspired resurrection plants, this paper introduces reversible intermolecular forces physical crosslinking method into system obtain fully...

10.1002/adma.202507127 article EN Advanced Materials 2025-05-21
Coming Soon ...