☆ 4.7 Article

Adaptive extreme learning machine-based event-triggered control for perturbed Euler-Lagrange systems

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Automation & Control Systems

Distributed Dynamic Event-Triggered Control for Euler-Lagrange Multiagent Systems With Parametric Uncertainties

Ran Cao et al.

Summary: This article investigates the distributed dynamic event-triggered control of networked Euler-Lagrange systems with unknown parameters. By utilizing the designed control algorithm, the leaderless consensus problem and containment problem are solved, and the estimations of unknown parameters are updated with an adaptive updating law. Simulation results show that the proposed method can increase the average lengths of event intervals and does not affect the time of achieving consensus/containment and the steady-state control performance.

IEEE TRANSACTIONS ON CYBERNETICS (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Distributed Model-Free Adaptive Control for Learning Nonlinear MASs Under DoS Attacks

Yong-Sheng Ma et al.

Summary: This article addresses the problem of distributed model-free adaptive control for learning nonlinear multiagent systems subjected to denial-of-service attacks. An improved dynamic linearization method is proposed to obtain an equivalent linear data model, and an attack compensation mechanism is developed to alleviate the influence of DoS attacks. A novel learning-based DMFAC algorithm is developed based on the equivalent linear data model and the attack compensation mechanism to resist DoS attacks, providing a unified framework to solve various control problems.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling

Yongxia Shi et al.

Summary: This article addresses the event-triggered coordinated control problem for multiple Euler-Lagrange systems subject to parameter uncertainties and external disturbances. A distributed coordinated control scheme is proposed using the event-triggered technique and neural network-based estimation to compensate for parameter uncertainties. A continuous event-triggered mechanism is developed to schedule the control command activation, and it is transformed into a periodic event-triggered one to relieve frequent control updates.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

ELM-Based Adaptive Faster Fixed-Time Control of Robotic Manipulator Systems

Miaomiao Gao et al.

Summary: This article addresses the problem of fast fixed-time tracking control for robotic manipulator systems subject to model uncertainties and disturbances. A novel faster nonsingular fixed-time sliding mode (FNFTSM) surface is developed to ensure faster convergence rate, and an extreme learning machine (ELM) algorithm is utilized to suppress the negative influence of system uncertainties and disturbances. The proposed control scheme combines fixed-time stable theory and the ELM learning technique, enabling adaptive fixed-time sliding mode control without knowing any information of system parameters.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)

添加到收藏夹

Article Automation & Control Systems

Finite-time anti-saturation control for Euler-Lagrange systems with actuator failures

Bing Huang et al.

Summary: This paper presents two finite-time control strategies for stabilizing Euler-Lagrange systems with actuator failures. By combining sliding mode technology and adaptive method, these control architectures force the system states towards the origin within a finite time. The first controller assumes exact information of the disturbance and actuator faults, while the second controller uses adaptive control laws to estimate unknown parameters for fault-tolerance and robustness. The boundedness of the output is proven using the properties of EL systems and hyperbolic tangent functions.

ISA TRANSACTIONS (2022)

添加到收藏夹

Article Mathematics, Applied

Neural network-based fixed-time sliding mode control for a class of nonlinear Euler-Lagrange systems

Zhi-Ye Zhao et al.

Summary: This paper addresses the problem of robust fixed-time trajectory tracking control for a class of nonlinear Euler-Lagrange systems with exogenous disturbances and uncertain dynamics. A neural network-based adaptive estimation algorithm is used to approximate the continuous uncertain dynamics, while an adaptive fixed-time sliding mode control law is proposed to remedy the negative influence of uncertain dynamics and exogenous disturbances. The efficiency of the developed NN-based adaptive fixed-time control strategy is validated through simulation results.

APPLIED MATHEMATICS AND COMPUTATION (2022)

添加到收藏夹

Article Automation & Control Systems

Distributed robust tracking control for multiple Euler-Lagrange systems with full-state constraints and input saturation using an event-triggered scheme

Haitao Liu et al.

Summary: This article investigates distributed tracking control for multiple Euler-Lagrange systems in the presence of external disturbances and input saturation. Various challenges such as full-state constraints, communication delays, and unmeasured velocities are addressed with novel solutions including an event-triggered scheme, anti-saturation compensation algorithm, adaptive law for external disturbances, and high-gain observer for unmeasured velocities. The stability of the closed-loop system is proven through theorem analysis and the effectiveness of the control strategy is verified through numerical simulations.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2022)

添加到收藏夹

Article Automation & Control Systems

Learning-Based Kinematic Control Using Position and Velocity Errors for Robot Trajectory Tracking

Sheng Xu et al.

Summary: This article addresses the trajectory tracking problem using the learning from demonstration (LFD) method, which avoids the parameter adjusting problem in the tracking controller and provides a strategy for users with limited parameter adjusting experience. The kinematic tracking problem is formulated as a second-order system and the extreme learning machines (ELM) algorithm is applied in the controller design. The effectiveness of the proposed strategy is demonstrated through simulation comparisons and a practical experiment using a KUKA robot manipulator.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022)

添加到收藏夹

Article Automation & Control Systems

Distributed Observer-Based Cooperative Control Approach for Uncertain Nonlinear MASs Under Event-Triggered Communication

Chao Deng et al.

Summary: This article addresses the distributed tracking problem for uncertain nonlinear multiagent systems under event-triggered communication. A new methodology is proposed to achieve stability and asymptotic tracking through grouping and designing event-triggered observers. A simulation example demonstrates the effectiveness of the proposed method.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2022)

添加到收藏夹

Article Automation & Control Systems

Event-based adaptive sliding mode control for Euler-Lagrange systems with parameter uncertainties and external disturbances

Nana Wang et al.

Summary: This article investigates the robust tracking control problem for a class of uncertain Euler-Lagrange systems and proposes an adaptive sliding mode control strategy. By constructing an adaptive parameter estimator and an event-triggering detector in the sensor node, this method reduces the utilization of communication resources and ensures the stability of the system.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Prescribed Performance Control for Multiagent Systems via Fuzzy Adaptive Event-Triggered Strategy

Lili Zhang et al.

Summary: This article discusses the prescribed performance control problem for multiagent systems involving the state triggering and the controller output triggering simultaneously. A new barrier Lyapunov function is developed with considering the characteristics of multiagent systems, and a fuzzy adaptive event-triggered control protocol is proposed by the backstepping procedure. It guarantees that the consensus tracking error converges to a predefined region of the origin in a preset finite time while ensuring that all other closed-loop signals remain bounded without the Zeno behavior.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Adaptive NN-Based Consensus for a Class of Nonlinear Multiagent Systems With Actuator Faults and Faulty Networks

Xiaozheng Jin et al.

Summary: This article proposes a fault-tolerant consensus control scheme based on neural network and adaptive control techniques, which effectively addresses the issues of actuator faults, disturbed and faulty networks in nonlinear multiagent systems, and ensures bounded consensus of the system.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Learning-Based Distributed Resilient Fault-Tolerant Control Method for Heterogeneous MASs Under Unknown Leader Dynamic

Chao Deng et al.

Summary: This article explores the distributed fault-tolerant resilient consensus problem for heterogeneous MASs under physical failures and network DoS attacks. A distributed resilient learning algorithm is proposed to learn the unknown dynamic model of the leader, and a new adaptive fault-tolerant resilient controller is designed to resist failures and attacks. The effectiveness of the proposed method is demonstrated through simulations.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

添加到收藏夹

Article Automation & Control Systems

Chattering analysis for Lipschitz continuous sliding-mode controllers

Carlos Arturo Martinez-Fuentes et al.

Summary: In this article, an analysis of chattering in systems driven by Lipschitz continuous sliding-mode controllers (LCSMC) is performed using the describing function approach. Theoretical predictions and simulations show that LCSMC may induce fast-oscillations of smaller amplitude and average power compared to the supertwisting controller (STC). The level of chattering with LSV-LCSMC could be smaller than TSV-LCSMC, and the dynamics of LSV-LCSMC cannot be arbitrarily fast for practical stability, unlike TSV-LCSMC.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2021)

添加到收藏夹

Article Automation & Control Systems

Cooperative Learning for Switching Networks With Nonidentical Nonlinear Agents

Deyuan Meng et al.

Summary: This article introduces a distributed control protocol for cooperative learning in networked multiagent systems, allowing robust tracking of prescribed references regardless of nonlinearities, initial state shifts, and disturbances. A convergence analysis approach is provided by investigating properties of stochastic matrices associated with switching digraphs, ensuring the effectiveness of cooperative learning.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2021)

添加到收藏夹

Article Automation & Control Systems

Robust Optimization-Based Iterative Learning Control for Nonlinear Systems With Nonrepetitive Uncertainties

Deyuan Meng et al.

Summary: This paper introduces an optimization-based method for designing and analyzing adaptive ILC, which achieves robust tracking tasks while ensuring the boundedness of system trajectories and estimated parameters. The effectiveness of the proposed method is demonstrated through two simulation tests, especially for an injection molding process.

IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Finite-Time Command Filtered Event-Triggered Adaptive Fuzzy Tracking Control for Stochastic Nonlinear Systems

Jianwei Xia et al.

Summary: This article studies an adaptive fuzzy tracking control method based on finite-time command filter, utilizing event-triggered scheme and fuzzy logic system, designing a new controller that ensures finite-time convergence, reduces communication burden, and avoids complexity explosion.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)

添加到收藏夹

Article Automation & Control Systems

Adaptive time-varying formation control of uncertain Euler-Lagrange systems with event-triggered communication

Jiang Long et al.

Summary: This article presents a novel distributed adaptive formation control scheme for networked Euler-Lagrange systems under a directed graph condition. A dynamic triggering condition is designed to reduce communication burden and exclude Zeno behavior. Simulation results validate the effectiveness of the proposed control scheme.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Extreme-learning-machine-based FNTSM control strategy for electronic throttle

Youhao Hu et al.

NEURAL COMPUTING & APPLICATIONS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Fast nonsingular terminal sliding mode control for permanent-magnet linear motor via ELM

Jie Zhang et al.

NEURAL COMPUTING & APPLICATIONS (2020)

添加到收藏夹

Article Automation & Control Systems

Distributed event-triggered tracking control with a dynamic leader for multiple Euler-Lagrange systems under directed networks

Tao Xu et al.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Finite-Time Adaptive Fuzzy Control for Nonstrict-Feedback Nonlinear Systems Via an Event-Triggered Strategy

Anqing Wang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

添加到收藏夹

Article Engineering, Multidisciplinary

Twisting-Based Finite-Time Consensus for Euler-Lagrange Systems With an Event-Triggered Strategy

Xin Jin et al.

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING (2020)

添加到收藏夹

Article Automation & Control Systems

On Synchronization of Dynamical Systems Over Directed Switching Topologies: An Algebraic and Geometric Perspective

Jiahu Qin et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks

Vignesh Narayanan et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)

添加到收藏夹

Article Automation & Control Systems

Finite-time consensus of Euler-Lagrange agents without velocity measurements via energy shaping

Emmanuel Cruz-Zavala et al.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2019)

添加到收藏夹

Article Automation & Control Systems

Finite-Time Coordination Behavior of Multiple Euler-Lagrange Systems in Cooperation-Competition Networks

Hong-Xiang Hu et al.

IEEE TRANSACTIONS ON CYBERNETICS (2019)

添加到收藏夹

Article Automation & Control Systems

Distributed finite-time containment control for multiple Euler-Lagrange systems with communication delays

Liangliang Chen et al.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2019)

添加到收藏夹

Article Automation & Control Systems

Extended State Observer-Based Sliding Mode Control of an Omnidirectional Mobile Robot With Friction Compensation

Chao Ren et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)

添加到收藏夹

Article Automation & Control Systems

Finite-Time L-2 Leader-Follower Consensus of Networked Euler-Lagrange Systems With External Disturbances

Wangli He et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2018)

添加到收藏夹

Article Automation & Control Systems

Event-Triggered Control for Consensus of Multiagent Systems With Fixed/Switching Topologies

Zheng-Guang Wu et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2018)

添加到收藏夹

Article Automation & Control Systems

Auxiliary Fault Tolerant Control With Actuator Amplitude Saturation and Limited Rate

Xiaozheng Jin et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2018)

添加到收藏夹

Article Engineering, Electrical & Electronic

Adaptive Fault-Tolerant Consensus for a Class of Uncertain Nonlinear Second-Order Multi-Agent Systems With Circuit Implementation

Xiaozheng Jin et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Neural-Learning-Based Control for a Constrained Robotic Manipulator With Flexible Joints

Wei He et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

添加到收藏夹

Article Automation & Control Systems

Finite-time fault-tolerant coordination control for multiple Euler-Lagrange systems in obstacle environments

Ning Zhou et al.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2017)

添加到收藏夹

Article Automation & Control Systems

Finite-time consensus of multiple nonholonomic chained-form systems based on recursive distributed observer

Haibo Du et al.

AUTOMATICA (2015)

添加到收藏夹

Article Robotics

Adaptive trajectory tracking control of a differential drive wheeled mobile robot

Khoshnam Shojaei et al.

ROBOTICA (2011)

添加到收藏夹

Article Automation & Control Systems

Event-triggered real-time scheduling of stabilizing control tasks

Paulo Tabuada

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2007)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Extreme learning machine: Theory and applications

Guang-Bin Huang et al.

NEUROCOMPUTING (2006)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.