Distributed Optimal Leader-Following Consensus Control of MAS Under Input Saturation: A Stackelberg Game Approach [0.03%]
基于斯塔克尔伯格博弈的马尔可夫跳跃系统分布式优化跟随领导者一致控制问题研究
Haitao Wang,Qingshan Liu,Ju H Park
Haitao Wang
This article addresses the optimal state observation and leader-following consensus for a nonlinear multiagent system (MAS) with input saturation under the Stackelberg game framework. The dynamics and states of followers are unknown, the le...
A Novel Approach for Accurate SOC Estimation of Lithium-Ion Electric Vehicle Batteries Using a (Q, S, R)-γ-Based Dissipativity Observer [0.03%]
一种基于(Q,S,R)-γ耗散观测器的锂离子电动汽车电池精确SOC估算方法
R Manivannan,K Vinothini,Jinde Cao
R Manivannan
For the first time, this article presents a dissipativity-based observer design for accurate state-of-charge (SOC) estimation, essential for improving the safety, performance, and lifespan of lithium-ion batteries (LIBs) in electric vehicle...
Adjustable-Error-Based Adaptive Neural Network Tracking Control for Uncertain Nonlinear Systems [0.03%]
基于可调误差的自适应神经网络非线性系统跟踪控制方法研究
Faxiang Zhang,Yu Shi,Jing Na et al.
Faxiang Zhang et al.
This article proposes an adjustable-error neural network (NN) approximator and incorporates it into the adaptive neural tracking controller design of uncertain nonlinear systems. Noted that the error between the unknown nonlinear function a...
Yuchen Zhu,Kuang Zhou,Fabio Cuzzolin
Yuchen Zhu
Deep clustering has achieved remarkable success in handling various types of real-world data, but often suffers from overconfidence, forcing ambiguous samples into specific clusters even when the evidence is insufficient. To address this li...
Adaptive Reconstruction-Based Model Predictive Control for Networked Stochastic Systems Under False Data Injection Attacks [0.03%]
基于自适应重建的模型预测在虚假数据注入攻击下的随机网络系统控制方法
Kai Ma,Ning He,Chao Shen
Kai Ma
A resilient stochastic model predictive control (MPC) method based on an adaptive input reconstruction mechanism is proposed for networked stochastic systems under false data injection (FDI) attacks. To the best of our knowledge, this is th...
Time-Varying HJBE-Based Adaptive Safe Critic Control Design for Stochastic Asymmetric Constrained Multiagent Systems [0.03%]
基于时变HJBE的自适应安全评论控制设计在随机不对称约束多智能体系统中的应用
Yuhao Zhou,Biao Luo,Xiaodong Xu et al.
Yuhao Zhou et al.
In this article, we investigate the problem of adaptive safe critic control design for stochastic multiagent systems (MASs) subject to asymmetric state and input constraints. To systematically address asymmetric state constraints, a unified...
Optimized Distributed Filtering Over Binary Sensor Network: A Dynamic Event-Triggering Protocol With Token Bucket Specifications [0.03%]
基于令牌桶规范的二值传感器网络动态事件触发分布滤波优化算法
Yanhua Song,Shikun Shao,Fei Han et al.
Yanhua Song et al.
This article deals with the optimized distributed filtering problem with binary measurements for a class of discrete linear time-varying systems. The system and the original measurements are subject to random noise with known statistical in...
Knowledge Distillation and Reinforcement Learning in a Human-Machine Collaboration Delivery System With a Robotic Arm [0.03%]
知识蒸馏和强化学习在机器人协作配送系统中的应用研究
Ping-Huan Kuo,Po-Hsun Feng,Chen-Wen Chang et al.
Ping-Huan Kuo et al.
Robotic arms are widely used in various aspects of human-robot collaboration. The primary goal of this study is to explore the usability of robotic arms for delivering objects to humans in dynamic environments. Traditional robotic arms ofte...
Accelerated Iterative Learning Control Using Fractional High-Order Update Rule for LTI Systems [0.03%]
基于分数阶高阶迭代学习律的线性定常系统迭代学习控制方法
Zihan Li,Dong Shen,Xinghuo Yu
Zihan Li
This study proposes an accelerated iterative learning control scheme using a fractional high-order update rule (FHUR) to improve the convergence rate for linear time-invariant systems. High- and low-order power update terms are used to hand...
Mean Square Exponential Stability of Dynamic Memristor Neutral Stochastic Cellular Neural Networks With Time-Varying Delays [0.03%]
具有时变延迟的动态膜神经元中立随机细胞神经网络的均方指数稳定性
Song Zhu,Kun Deng,Huaicheng Yan et al.
Song Zhu et al.
This article investigates the mean square exponential stability for dynamic memristor-neutral stochastic cellular neural networks with time-varying delays (DM-NSDCNNs). Unlike general neural networks (NNs) analyzed in the voltage-current do...