Event-triggered optimal line-of-sight formation control for underactuated USVs with unknown disturbance [0.03%]
具有未知扰动的欠驱动USV的事件触发最优视线编队控制
Weihan Li,Lipeng Wang,Zhi Zhang et al.
Weihan Li et al.
This paper presents an event-triggered optimal line-of-sight (ETO-LOS) control scheme for multiple underactuated USVs with unknown dynamics and external disturbances. A two-stage Identifier-Actor-Critic (IAC) framework is combined with dyna...
Resilient prescribed performance optimal control for underactuated unmanned surface vehicle: A differential game guidance strategy based on control barrier functions [0.03%]
基于控制屏障函数的差分游戏制导策略的欠驱动无人水面船 resilient prescribed performance optimal 控制
Junji Feng,Guoqing Zhang,Shilin Yin et al.
Junji Feng et al.
This paper investigates the predefined optimal control problem for underactuated unmanned surface vehicles (USVs) in non-cooperative adversarial scenarios, with a focus on enabling defending USVs to achieve effective collision avoidance in ...
Stable and interpretable DDPG controllers: Integrating Control Lyapunov Functions and symbolic regression via Kolmogorov-Arnold Networks [0.03%]
稳定且可解释的DDPG控制器：通过Kolmogorov-Arnold网络集成控制Lyapunov函数和符号回归
Roham Farhadi,Ramin Vatankhah,Navid Eqra
Roham Farhadi
This paper presents a stability-constrained deep reinforcement learning framework for nonlinear control systems by integrating Control Lyapunov Functions (CLFs) with the Deep Deterministic Policy Gradient (DDPG) algorithm. The proposed Stab...
Robust gait generator based on the LIPDF model for biped robot with five anti-disturbance strategies [0.03%]
基于LIPDF模型的五种抗扰策略的鲁棒步态生成器
Yingxing Li,Zhaohui Yuan,Jingchao Li et al.
Yingxing Li et al.
Robust control is crucial for bipedal locomotion. This paper proposes a novel model-based robust gait generator for biped robot. First, a linear inverted pendulum with distributed flywheels (LIPDF) model is introduced, where the actively re...
Advanced finite control set model predictive control with multi-step horizon for electric towing vehicles in airport applications: Real-time implementation on dSPACE DS1104 [0.03%]
具有多步地平线的高级有限控制集模型预测在机场应用中的电动牵引车的实时DSpace DS1104实现控制系统
Mohamed Chiboub,Btissam Majout,Badre Bossoufi et al.
Mohamed Chiboub et al.
Electric towing vehicles (ETVs) are increasingly deployed in airport environments to replace diesel tractors and reduce emissions. However, they must balance conflicting requirements: torque accuracy, energy efficiency, and strict complianc...
Prescribed-time bearing-based time-varying formation control for multi-agent system [0.03%]
基于预设时间轴承的多智能体系统时变编队控制方法
Yong Chen,Bowen Hao,Fuxi Niu et al.
Yong Chen et al.
In this manuscript, we investigate the problem of prescribed-time bearing-based formation tracking for multi-agent systems. The proposed control law employs a two-stage strategy to achieve formation tracking within a prescribed time. For mu...
Experimental verification of aperiodic dynamic event-triggered control for linear systems using extended looped-functional [0.03%]
基于扩展循环函数的线性系统非周期动态事件触发控制实验验证
Y J Kim,Y G Lee,S H Lee et al.
Y J Kim et al.
This paper presents an event-triggered control strategy that incorporates extended looped-functionals to enhance communication capacity efficiency in real-time systems. Among the various methods to guarantee stability in event-triggered mec...
N-step model predictive control with persistent bounded disturbances under AF cooperation protocol [0.03%]
具有AF协作协议的持久有界扰动的N步模型预测控制
Wei Zhang,Tianhao Su,Hao Wang et al.
Wei Zhang et al.
This paper investigates the N-step model predictive control (N-step MPC) problem for systems subject to polytopic uncertainties and persistent bounded disturbances. To this end, we introduce the amplify-and-forward cooperation protocol (AFC...
Adaptive prescribed-time tracking control with guaranteed performance for uncertain nonlinear systems with arbitrary initial errors [0.03%]
具有任意初始误差的不确定非线性系统的自适应规定时间跟踪控制（保证性能）
Ruicheng Ma,Jiarun Xin,Yuanchao Qu et al.
Ruicheng Ma et al.
This paper addresses the challenging problem of adaptive prescribed-time tracking control with guaranteed performance for uncertain strict-feedback nonlinear systems subject to arbitrary initial errors. Unlike existing methods that require ...
Dimensionless features and comprehensive fuzzy-based models for fault diagnosis of rolling element bearings under varying operating conditions [0.03%]
无量纲特征和全面的模糊模型在滚动轴承故障诊断中的应用研究
Mohammad Ghafouri,Hesam Addin Arghand,Somaye Mohammadi et al.
Mohammad Ghafouri et al.
This research focuses on the challenge of assessing the health status and fault-type diagnosis in rolling element bearings (REBs). A key obstacle in this field pertains to feature extraction to exhibit generalizability across a wide array o...