Di Zhao

ORCID: 0000-0002-8575-0294
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About
Contact & Profiles
Research Areas
  • Stability and Control of Uncertain Systems
  • Distributed Control Multi-Agent Systems
  • Space Satellite Systems and Control
  • Neural Networks Stability and Synchronization
  • Spacecraft Dynamics and Control
  • Neural Networks and Applications
  • Advanced Control Systems Optimization
  • Advanced Control Systems Design
  • Advanced Differential Geometry Research
  • Geometric Analysis and Curvature Flows
  • Industrial Technology and Control Systems
  • Smart Grid Security and Resilience
  • Fault Detection and Control Systems
  • Geometry and complex manifolds
  • Advanced Sensor and Control Systems
  • Advanced Numerical Methods in Computational Mathematics
  • Financial Distress and Bankruptcy Prediction
  • Advanced Algorithms and Applications
  • Power Line Communications and Noise
  • Industrial Automation and Control Systems
  • Geophysics and Gravity Measurements
  • Advanced Computational Techniques and Applications
  • Service-Oriented Architecture and Web Services
  • Privacy-Preserving Technologies in Data
  • Holomorphic and Operator Theory

University of Shanghai for Science and Technology
2015-2025

Beijing Hospital of Traditional Chinese Medicine
2025

Capital Medical University
2025

Beijing University of Chinese Medicine
2025

Tianjin University
2024

Simon Fraser University
2024

Tibet University
2024

University of Auckland
2022-2024

Jiangsu Provincial Hospital of Traditional Chinese Medicine
2024

Chizhou University
2023

10.1080/00207721.2025.2456001 article EN International Journal of Systems Science 2025-01-27

This article deals with the observer-based proportional-integral-derivative (PID) security control problem for a kind of linear discrete time-delay systems subject to cyber-attacks. The cyber-attacks, which include both denial-of-service and deception attacks, are allowed be randomly occurring as regulated by two sequences Bernoulli distributed random variables certain probabilities. A novel PID controller is proposed such that closed-loop system achieves desired level quadratic cost...

10.1109/tsmc.2019.2952539 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2019-12-05

In this article, the recursive filtering problem is investigated for a class of discrete-time stochastic dynamical networks where data delivery from sensors to filter implemented by digital communication channel. With help uniform quantization method, an improved encoding–decoding mechanism associated with measurement outputs first put forward decoding error guaranteed be stochastically bounded under certain bit-rate constraint condition. Based on obtained decoded outputs, sufficient...

10.1109/tac.2023.3349102 article EN IEEE Transactions on Automatic Control 2024-01-01

In this article, the design problem of proportional-integral observer (PIO) is investigated for a class discrete-time multidelayed recurrent neural networks (RNNs). addressed RNN model, delays occurring in information interconnections are allowed to be different, and phenomenon sensor saturation taken into consideration measurement model. A novel dynamic event-triggered protocol employed data transmission from sensors with hope improve efficiency resource utilization, where threshold...

10.1109/tcyb.2020.2969377 article EN IEEE Transactions on Cybernetics 2020-02-17

Background: Cystic neutrophilic granulomatous mastitis (CNGM) poses a significant threat to the physical and mental health of women due its increasing incidence, complex clinical manifestations. Developing an appropriate animal model will help further study pathogenesis CNGM. Methods: Seventy-two rats were randomly assigned seven groups: group A (n=12, tissue suspension 0.2mL), B 1× 10^8 CFU/mL Corynebacterium kroppenstedtii ( CK ) 0.1mL), C 10^9 D 0.1mL + E F (n=6, phosphate buffer saline...

10.2147/jir.s500310 article EN cc-by-nc Journal of Inflammation Research 2025-02-01

The Kohn-Nirenberg domains are unbounded in $\mathbb{C}^{n}$. In this article, we modify the domain $\Omega_{K,L} =\left\{(z_{1},\ldots, z_{n}) \right.\in \mathbb{C}^{n} : Re z_{n} + g \mid z_{n}\mid^{2} \sum_{j = 1}^{n-1} (\mid z_{j}\mid^{p} +K_{j} z_{j}\mid^{p-q} z_{j}^{q} L_{j} z_{j}\mid^{p-2q} Im z_{j}^{2q}) < 0 \}$ and discuss existence of supporting surface peak function at origin.

10.20944/preprints202412.2606.v2 preprint EN 2025-03-06

This paper is concerned with the H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> proportional-integral-derivative (PID) control problem for a class of linear discrete-time systems fading measurements. The measurements are governed by Rice model whose coefficients hypothesized to be series independent and identically distributed Gaussian variables. By utilizing received subject phenomena, novel output-feedback PID controller proposed...

10.1109/tsmc.2018.2809489 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2018-03-05

In this article, a novel proportional-integral observer (PIO) design approach is proposed for the nonfragile H∞ state estimation problem class of discrete-time recurrent neural networks with time-varying delays. The developed PIO equipped more freedom leading to better steady-state accuracy compared conventional Luenberger observer. phenomena randomly occurring gain variations, which are characterized by Bernoulli distributed random variables certain probabilities, taken into consideration...

10.1109/tnnls.2020.3015376 article EN IEEE Transactions on Neural Networks and Learning Systems 2020-08-19

This article deals with the proportional–integral observer (PIO) design problem for a class of linear systems distributed time delays and randomly occurring parameter uncertainties. The measurement signals, transmitted from sensors to observer, might suffer deception attacks. random occurrences uncertainties attacks are governed by two series Bernoulli variables known probability distributions. An outlier-resistant PIO is developed introducing an innovation saturation mechanism sake...

10.1109/tsmc.2021.3117742 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2021-10-13

In this article, the proportional-integral observer design problem is studied for a class of multirate networked systems subject to constrained bit rate. The sensor sampling period allowed be different from system updating and, facilitate design, underlying cast into general single-rate one by resorting lifting technique. order curb communication burden and promote data security, encoding-decoding procedure implemented on sensor-to-observer channel convert measurement signals binary...

10.1109/tcyb.2022.3165041 article EN IEEE Transactions on Cybernetics 2022-04-25

Deep learning methods often suffer performance degradation due to domain shift, where discrepancies exist between training and testing data distributions. Domain generalization mitigates this problem by leveraging information from multiple source domains enhance model capabilities for unseen domains. However, existing typically present examples the in a random manner, overlooking potential benefits of structured presentation. To bridge gap, we propose novel strategy, Symmetric Self-Paced...

10.1609/aaai.v38i15.29639 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2024-03-24

The vitality of a city is shaped by its social structure, environmental quality, and spatial form, with child-friendliness being an essential component urban vitality. While there are numerous qualitative studies on the relationship between various indicators vitality, quantitative research remains relatively scarce, leading to lack sufficient objective trustworthy data guide planning development child-friendly cities. This paper presents analytical framework, using Heping District in...

10.3390/electronics13224564 article EN Electronics 2024-11-20

In this article, a proportional-integral-derivative (PID) tracking control problem is studied for class of linear discrete-time systems under multiple description encoding mechanisms (MDEMs). The data transmissions on the sensor-to-controller channels are subject to packet dropouts whose occurrences random and governed by two Bernoulli-distributed sequences certain probability distributions. order improve reliability transmission, an MDEM put forward, with which encoded into descriptions...

10.1109/tsmc.2023.3290011 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2023-07-31

This article is concerned with a new partial-neurons-based proportional-integral observer (PIO) design problem for class of artificial neural networks (ANNs) subject to bounded disturbances. For the purpose improving reliability data transmission, multiple description encoding mechanisms are exploited encode measurement into two identically important descriptions, and encoded then transmitted decoders via individual communication channels susceptible packet dropouts, where...

10.1109/tnnls.2022.3209632 article EN IEEE Transactions on Neural Networks and Learning Systems 2022-10-05
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