4.7 Article

Single-network ADP for solving optimal event-triggered tracking control problem of completely unknown nonlinear systems

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 Computer Science, Artificial Intelligence

Neural network-based adaptive tracking control for switched nonlinear systems with prescribed performance: An average dwell time switching approach

Yuanqing Wang et al.

Summary: This article investigates adaptive neural output-feedback tracking control for a class of switched uncertain nonlinear systems with average dwell time. By utilizing techniques such as neural networks and Lyapunov stability theory, the stability of the closed-loop system is proven, and a controller that can control system signals and ensure convergence of tracking error is proposed.

NEUROCOMPUTING (2021)

Article Mathematics, Applied

Adaptive control design for uncertain switched nonstrict-feedback nonlinear systems to achieve asymptotic tracking performance

Ning Xu et al.

Summary: This paper addresses the issue of adaptive asymptotic tracking control for uncertain switched nonlinear systems, achieving asymptotic tracking performance with the introduced control method. By utilizing nonlinear filters, compensation terms, online parameter updates, and inherent properties of RBF NNs, the proposed strategy shows effectiveness in simulation results.

APPLIED MATHEMATICS AND COMPUTATION (2021)

Article Mathematics, Applied

Model-Based adaptive event-Triggered control of nonlinear continuous-Time systems

Zhongyu Chen et al.

Summary: This paper presents a model-based adaptive event-triggered control scheme for uncertain single-input and single-output systems by constructing an adaptive model and using neural networks to approximate nonlinear functions. The stability of the resulting impulsive dynamic system is proven using Lyapunov theory, and the event-trigger condition reduces waste of communication resources by updating NN weights and feedback signals only when necessary.

APPLIED MATHEMATICS AND COMPUTATION (2021)

Article Mathematics, Applied

Adaptive fault-tolerant control for switched nonlinear systems based on command filter technique

Yuanqing Wang et al.

Summary: An adaptive neural fault-tolerant control strategy for a class of switched nonlinear systems subject to actuator fault is proposed in this article, using the command filter approach to approximate unknown nonlinear functions and estimate unmeasurable states. By applying the backstepping algorithm and average dwell time method, an adaptive NNs fault tolerant controller is developed to ensure signal boundedness within the system.

APPLIED MATHEMATICS AND COMPUTATION (2021)

Article Automation & Control Systems

Adaptive fuzzy hierarchical sliding mode control of uncertain under-actuated switched nonlinear systems with actuator faults

Haoyan Zhang et al.

Summary: This paper proposes an adaptive fuzzy hierarchical sliding mode control method to address the control problem for uncertain under-actuated switched nonlinear systems with actuator faults. The unknown uncertain functions of the system are approximated by fuzzy logic systems, and the upper bound of the function is estimated online. The proposed control scheme ensures the boundedness of signals in the closed-loop system by utilizing Lyapunov stability theory and a simulation example is provided to demonstrate its effectiveness.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2021)

Article Computer Science, Information Systems

Observer-Based Adaptive Fuzzy Finite-Time Control Design With Prescribed Performance for Switched Pure-Feedback Nonlinear Systems

Peng Zhou et al.

Summary: This paper investigates an adaptive fuzzy finite-time control method for handling control issues in nonlinear systems effectively. By utilizing dynamic surface control and backstepping techniques, an effective control method is established that can achieve system convergence to predefined boundaries in finite time. Additionally, a fuzzy observer is constructed using a Butterworth low-pass filter to estimate unmeasurable states of the system.

IEEE ACCESS (2021)

Article Automation & Control Systems

Adaptive Critic Designs for Event-Triggered Robust Control of Nonlinear Systems With Unknown Dynamics

Xiong Yang et al.

IEEE TRANSACTIONS ON CYBERNETICS (2019)

Article Automation & Control Systems

Adaptive fuzzy output-feedback tracking control for switched stochastic pure-feedback nonlinear systems

Yi Chang et al.

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING (2019)

Article Computer Science, Artificial Intelligence

Self-learning robust optimal control for continuous-time nonlinear systems with mismatched disturbances

Xiong Yang et al.

NEURAL NETWORKS (2018)

Article Computer Science, Artificial Intelligence

Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints

Lu Dong et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming

Avimanyu Sahoo et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)

Article Automation & Control Systems

An Event-Triggered ADP Control Approach for Continuous-Time System With Unknown Internal States

Xiangnan Zhong et al.

IEEE TRANSACTIONS ON CYBERNETICS (2017)

Article Computer Science, Information Systems

Online approximate solution of HJI equation for unknown constrained-input nonlinear continuous-time systems

Xiong Yang et al.

INFORMATION SCIENCES (2016)

Article Automation & Control Systems

Fault-Tolerant Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems via Online Reinforcement Learning Algorithm

Zhanshan Wang et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2016)

Article Computer Science, Artificial Intelligence

Reinforcement Learning Design-Based Adaptive Tracking Control With Less Learning Parameters for Nonlinear Discrete-Time MIMO Systems

Yan-Jun Liu et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

Data-Driven Robust Approximate Optimal Tracking Control for Unknown General Nonlinear Systems Using Adaptive Dynamic Programming Method

Huaguang Zhang et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)

Article Engineering, Electrical & Electronic

Stability analysis of nonlinear system identification via delayed neural networks

Jose de Jesus Rubio et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2007)

Article Automation & Control Systems

A unification between partial stability and stability theory for time-varying systems

V Chellaboina et al.

IEEE CONTROL SYSTEMS MAGAZINE (2002)