Tingwen Huang
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View article: Observer-based consensus tracking of stochastic multi-agent systems via control Lyapunov function
Observer-based consensus tracking of stochastic multi-agent systems via control Lyapunov function Open
This work discusses the consensus tracking for stochastic multi-agent systems with a leader-follower structure. An observer-based distributed control approach is put forward, leveraging control Lyapunov functions and quadratic programming …
View article: Prostate cancer forecasting in small samples based on lightweight neural networks using ensemble learning
Prostate cancer forecasting in small samples based on lightweight neural networks using ensemble learning Open
View article: Synchronization of neural networks with and without disturbance input via control Lyapunov function
Synchronization of neural networks with and without disturbance input via control Lyapunov function Open
In this paper, we focus on the control Lyapunov function (CLF) for a class of neural networks, both with and without disturbance input. First, we design an exponential controller using the quadratic program-based CLF (QP-CLF) method to add…
View article: BiMT-TCN: A cutting-edge hybrid model for enhanced stock price prediction
BiMT-TCN: A cutting-edge hybrid model for enhanced stock price prediction Open
View article: On the convolution sum of Fourier coefficients of automorphic forms
On the convolution sum of Fourier coefficients of automorphic forms Open
Let $$\lambda _{\pi }(1,n)$$ and $$\lambda _f(m)$$ denote the n -th and m -th Fourier coefficients of an $$SL(3, {\mathbb {Z}})$$ Hecke-Maass cusp form $$\pi $$ and an $$SL(2, {\mathbb {Z}})$$ cusp f…
View article: MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation
MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation Open
Diffusion models have demonstrated remarkable performance on vision generation tasks. However, the high computational complexity hinders its wide application on edge devices. Quantization has emerged as a promising technique for inference …
View article: Physics-informed stochastic configuration network promoted model predictive control with multi-objective optimization
Physics-informed stochastic configuration network promoted model predictive control with multi-objective optimization Open
View article: STROM: A Spatial–Temporal Reduced-Order Model for Zinc Fluidized Bed Roaster Temperature Field Prediction
STROM: A Spatial–Temporal Reduced-Order Model for Zinc Fluidized Bed Roaster Temperature Field Prediction Open
View article: Exploring the Generalizability of Geomagnetic Navigation: A Deep Reinforcement Learning approach with Policy Distillation
Exploring the Generalizability of Geomagnetic Navigation: A Deep Reinforcement Learning approach with Policy Distillation Open
The advancement in autonomous vehicles has empowered navigation and exploration in unknown environments. Geomagnetic navigation for autonomous vehicles has drawn increasing attention with its independence from GPS or inertial navigation de…
View article: SD-PPDDA: A Privacy Efficient Decentralized Dual Averaging Algorithm Over Networks
SD-PPDDA: A Privacy Efficient Decentralized Dual Averaging Algorithm Over Networks Open
This paper studies a decentralized online constrained optimization problem characterized by a shared constraint set. Nodes in the communication and learning network conduct local computations and communications to collaboratively solve the…
View article: RotatQ: Knowledge graph embedding based on quaternion unit
RotatQ: Knowledge graph embedding based on quaternion unit Open
View article: Temporal Information Reconstruction and Non-Aligned Residual in Spiking Neural Networks for Speech Classification
Temporal Information Reconstruction and Non-Aligned Residual in Spiking Neural Networks for Speech Classification Open
Recently, it can be noticed that most models based on spiking neural networks (SNNs) only use a same level temporal resolution to deal with speech classification problems, which makes these models cannot learn the information of input data…
View article: Memristor-Based Selective Convolutional Circuit for High-Density Salt-and-Pepper Noise Removal
Memristor-Based Selective Convolutional Circuit for High-Density Salt-and-Pepper Noise Removal Open
In this article, we propose a memristor-based selective convolutional (MSC) circuit for salt-and-pepper (SAP) noise removal. We implement its algorithm using memristors in analog circuits. In experiments, we build the MSC model and benchma…
View article: Long-distance Geomagnetic Navigation in GNSS-denied Environments with Deep Reinforcement Learning
Long-distance Geomagnetic Navigation in GNSS-denied Environments with Deep Reinforcement Learning Open
Geomagnetic navigation has drawn increasing attention with its capacity in navigating through complex environments and its independence from external navigation services like global navigation satellite systems (GNSS). Existing studies on …
View article: Decentralized Nonconvex Robust Optimization over Unsafe Multiagent Systems: System Modeling, Utility, Resilience, and Privacy Analysis
Decentralized Nonconvex Robust Optimization over Unsafe Multiagent Systems: System Modeling, Utility, Resilience, and Privacy Analysis Open
Privacy leakage and Byzantine failures are two adverse factors to the intelligent decision-making process of multi-agent systems (MASs). Considering the presence of these two issues, this paper targets the resolution of a class of nonconve…
View article: Convergence Analysis of Distributed Generalized Nash Equilibria Seeking Algorithm With Asynchrony and Delays
Convergence Analysis of Distributed Generalized Nash Equilibria Seeking Algorithm With Asynchrony and Delays Open
View article: Adaptive Robust Tracking Control With Active Learning for Linear Systems With Ellipsoidal Bounded Uncertainties
Adaptive Robust Tracking Control With Active Learning for Linear Systems With Ellipsoidal Bounded Uncertainties Open
This article is concerned with the robust tracking control of linear uncertain systems, whose unknown system parameters and disturbances are bounded within ellipsoidal sets. We propose an adaptive robust control that can actively learn the…
View article: Ensemble Control for Stochastic Systems with Asymmetric Laplace Noises
Ensemble Control for Stochastic Systems with Asymmetric Laplace Noises Open
This paper presents an adaptive ensemble control for stochastic systems subject to asymmetric noises and outliers. Asymmetric noises skew system observations, and outliers with large amplitude deteriorate the observations even further. Suc…
View article: A memristive all-inclusive hypernetwork for parallel analog deployment of full search space architectures
A memristive all-inclusive hypernetwork for parallel analog deployment of full search space architectures Open
View article: Fixed-time synchronization for two-dimensional coupled reaction–diffusion complex networks: Boundary conditions analysis
Fixed-time synchronization for two-dimensional coupled reaction–diffusion complex networks: Boundary conditions analysis Open
This paper examines fixed-time synchronization (FxTS) for two-dimensional coupled reaction–diffusion complex networks (CRDCNs) with impulses and delay. Utilizing the Lyapunov method, a FxTS criterion is established for impulsive delayed CR…
View article: Masthead
Masthead Open
View article: Coordinated optimization and control for nonferrous metallurgical processes with cascaded reactors
Coordinated optimization and control for nonferrous metallurgical processes with cascaded reactors Open
为了实现资源的深度利用和确保生产过程的平稳运行,有色冶金过程常采用多个大型级联反应槽/器进行生产,给全流程的优化与控制带来了巨大挑战。本文针对具有级联反应器的有色冶金过程,提出一种分层协调优化与控制框架,包括生产规划层、全流程多目标协调优化层和局部优化层的分层协调优化方法,通过协调优化层与局部优化层的递阶协调,实现全流程各反应槽输出设定值的优化;针对不同采样频率的被控量,分别设计了模型预测控制器和基于T-S模糊逻辑的模糊控制,构建误差补偿数据驱动模型对模型进行校正,以实现设…
View article: Distributed Generalized Nash Equilibria Seeking Algorithms Involving Synchronous and Asynchronous Schemes
Distributed Generalized Nash Equilibria Seeking Algorithms Involving Synchronous and Asynchronous Schemes Open
This paper considers a class of noncooperative games in which the feasible decision sets of all players are coupled together by a coupled inequality constraint. Adopting the variational inequality formulation of the game, we first introduc…
View article: A Bionic Data-driven Approach for Long-distance Underwater Navigation with Anomaly Resistance
A Bionic Data-driven Approach for Long-distance Underwater Navigation with Anomaly Resistance Open
Various animals exhibit accurate navigation using environment cues. The Earth's magnetic field has been proved a reliable information source in long-distance fauna migration. Inspired by animal navigation, this work proposes a bionic and d…
View article: Synchronization for Coupled Complex Networks with Mixed Couplings Via Aperiodically Event-Based Pinning Control
Synchronization for Coupled Complex Networks with Mixed Couplings Via Aperiodically Event-Based Pinning Control Open
View article: Physics-Informed Stochastic Configuration Network Promoted Model Predictive Control with Multi-Objective Optimization
Physics-Informed Stochastic Configuration Network Promoted Model Predictive Control with Multi-Objective Optimization Open
View article: Fault-Tolerant and Attack-Tolerant Cooperative Event-Triggered Sampled-Data Security Control for Synchronization of Rdnns with Stochastic Actuator Failures and Random Deception Attacks
Fault-Tolerant and Attack-Tolerant Cooperative Event-Triggered Sampled-Data Security Control for Synchronization of Rdnns with Stochastic Actuator Failures and Random Deception Attacks Open
View article: Masthead
Masthead Open
View article: Practical prescribed-time fuzzy tracking control for uncertain nonlinear systems with time-varying actuators faults
Practical prescribed-time fuzzy tracking control for uncertain nonlinear systems with time-varying actuators faults Open
The paper investigates the practical prescribed-time fuzzy tracking control problem for a category of nonlinear system subject to time-varying actuator faults. The presence of unknown nonlinear dynamics and actuator faults makes achieving …
View article: Research on the Development and Application of Gender Equality Picture Books and Teaching Aids
Research on the Development and Application of Gender Equality Picture Books and Teaching Aids Open
We developed gender equality picture books and teaching aids to allow children to learn the concept of gender equality and strengthen the development of fine motor skills. This teaching aid and picture book was patented and won the golden …