4.7 Article

Command filter-based adaptive neural finite-time control for stochastic nonlinear systems with time-varying full-state constraints and asymmetric input saturation

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

Human-in-the-Loop Consensus Control for Nonlinear Multi-Agent Systems With Actuator Faults

Guohuai Lin et al.

Summary: This paper investigates the human-in-the-Ioop leader-following consensus control problem in multi-agent systems with unknown matched nonlinear functions and actuator faults. A neural fault-tolerant controller with dynamic coupling gains is proposed by using neural networks and fault estimators. It is proved that the state of each follower can synchronize with the leader's state and all signals in the closed-loop system are guaranteed to be cooperatively uniformly ultimately bounded. Simulation results are presented to demonstrate the effectiveness of the proposed control method.

IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2022)

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

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 Finite-Time Stabilization of Stochastic Nonlinear Systems Subject to Full-State Constraints and Input Saturation

Huifang Min et al.

Summary: This article discusses the adaptive finite-time tracking control for state constrained stochastic nonlinear systems with parametric uncertainties and input saturation, using a combination of various methods to ensure stability and tracking performance of the system.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2021)

Article Computer Science, Artificial Intelligence

Finite-Time Consensus Tracking Neural Network FTC of Multi-Agent Systems

Guowei Dong et al.

Summary: The study focuses on the finite-time consensus fault-tolerant control problem for nonlinear multi-agent systems, utilizing neural networks and Nussbaum functions to address uncertainties and achieve an adaptive controller that ensures convergence to zero tracking error in a finite time. The effectiveness of the proposed method is demonstrated through a physical example.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Command-Filter-Based Adaptive Fuzzy Finite-Time Control for Switched Nonlinear Systems Using State-Dependent Switching Method

Shi Li et al.

Summary: This study investigates the adaptive fuzzy finite-time tracking control problem of a class of switched nonlinear systems. Fuzzy logic systems and a finite-time command filter are introduced to handle unknown nonlinear terms and overcome drawbacks in recursive design. A new hysteresis switching law is derived to avoid Zeno behavior. It is proven that under the proposed fuzzy finite-time control scheme, all states of the closed-loop system are bounded in finite time.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)

Article Automation & Control Systems

Switched-observer-based adaptive output-feedback control design with unknown gain for pure-feedback switched nonlinear systems via average dwell time

Yi Chang et al.

Summary: This paper investigates the issue of adaptive fuzzy tracking control for a class of pure-feedback switched nonlinear systems with unknown gain. By utilizing the mean value theorem and Nussbaum-type functions, an effective controller is designed to simplify the calculation. The stability of the system is ensured through the average dwell time method and Lyapunov theorem, with errors adjustable to be arbitrarily small.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (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, Artificial Intelligence

Neural-Network-Based Event-Triggered Adaptive Control of Nonaffine Nonlinear Multiagent Systems With Dynamic Uncertainties

Hongjing Liang et al.

Summary: This article addresses the adaptive event-triggered neural control problem for nonaffine pure-feedback nonlinear multiagent systems with dynamic disturbance, unmodeled dynamics, and dead-zone input. The use of radial basis function neural networks to approximate unknown nonlinear functions and a dynamic signal to handle design difficulties in unmodeled dynamics were highlighted. A novel event-triggered control protocol was proposed to reduce communication burden and achieve convergence of follower outputs to a neighborhood of the leader's output, while ensuring bounded signals in the closed-loop system. An illustrative simulation example was provided to verify the efficacy of the proposed algorithms.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)

Article Automation & Control Systems

Adaptive Neural Control Using Tangent Time-Varying BLFs for a Class of Uncertain Stochastic Nonlinear Systems With Full State Constraints

Tingting Gao et al.

Summary: An adaptive neural network control scheme is developed for a class of stochastic nonlinear systems with time-varying full state constraints in this paper, using RBF NNs and tan-TVBLFs to approximate unknown terms and ensure constraints are never violated. The Lyapunov stability theory is used to prove the effectiveness of the control scheme in maintaining system stability and satisfying constraints.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Computer Science, Artificial Intelligence

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

Ning Xu et al.

Summary: This paper proposes an optimal event-triggered tracking control scheme for completely unknown nonlinear systems under the adaptive dynamic programming (ADP) framework. By constructing a data-driven model based on recurrent neural networks (RNNs) and employing the Bellman optimal principle, the approximate solution of a Hamilton-Jacobi-Bellman (HJB) equation is obtained, simplifying the implementation architecture of ADP and ensuring stability. Simulation results confirm the validity of the design scheme.

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (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

Observed-based adaptive finite-time tracking control for a class of nonstrict-feedback nonlinear systems with input saturation

Li Ma et al.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2020)

Article Automation & Control Systems

Robust adaptive backstepping tracking control of stochastic nonlinear systems with unknown input saturation: A command filter approach

Behrouz Homayoun et al.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2020)

Article Computer Science, Information Systems

Integral Barrier Lyapunov function-based adaptive control for switched nonlinear systems

Lei Liu et al.

SCIENCE CHINA-INFORMATION SCIENCES (2020)

Article Computer Science, Information Systems

Adaptive neural network control for time-varying state constrained nonlinear stochastic systems with input saturation

Qidan Zhu et al.

INFORMATION SCIENCES (2020)

Article Automation & Control Systems

Finite-Time Fuzzy Control of Stochastic Nonlinear Systems

Fang Wang et al.

IEEE TRANSACTIONS ON CYBERNETICS (2020)

Article Automation & Control Systems

Asymmetric integral barrier Lyapunov function-based adaptive tracking control considering full-state with input magnitude and rate constraint

Bojun Liu et al.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2020)

Article Automation & Control Systems

Switched-observer-based adaptive DSC design of nonstrict-feedback switched stochastic nonlinear time-delay systems

Yanli Liu et al.

NONLINEAR ANALYSIS-HYBRID SYSTEMS (2020)

Article Automation & Control Systems

Adaptive Neural-Network-Based Dynamic Surface Control for Stochastic Interconnected Nonlinear Nonstrict-Feedback Systems With Dead Zone

Ben Niu et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

Adaptive Fuzzy Event-Triggered Control for Stochastic Nonlinear Systems With Full State Constraints and Actuator Faults

Hui Ma et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

Finite-Time Adaptive Fuzzy Tracking Control Design for Nonlinear Systems

Fang Wang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

Adaptive Fuzzy Fault-Tolerant Control for Uncertain Nonlinear Switched Stochastic Systems with Time-Varying Output Constraints

Yanli Liu et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)

Article Computer Science, Information Systems

Adaptive fuzzy control for induction motors stochastic nonlinear systems with input saturation based on command filtering

Zhenhua Zhao et al.

INFORMATION SCIENCES (2018)

Article Automation & Control Systems

Command filter-based adaptive neural control for permanent magnet synchronous motor stochastic nonlinear systems with input saturation

Yuxi Han et al.

INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL (2018)

Article Automation & Control Systems

Adaptive tracking control for uncertain switched stochastic nonlinear pure-feedback systems with unknown backlash-like hysteresis

Guozeng Cui et al.

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

Article Engineering, Mechanical

Adaptive and robust control of quadrotor aircrafts with input saturation

Shushuai Li et al.

NONLINEAR DYNAMICS (2017)

Article Automation & Control Systems

Adaptive NN Control Using Integral Barrier Lyapunov Functionals for Uncertain Nonlinear Block-Triangular Constraint Systems

Yan-Jun Liu et al.

IEEE TRANSACTIONS ON CYBERNETICS (2017)

Article Computer Science, Artificial Intelligence

Adaptive Fuzzy Control for a Class of Stochastic Pure-Feedback Nonlinear Systems With Unknown Hysteresis

Fang Wang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2016)

Article Computer Science, Information Systems

Adaptive neural control for a class of stochastic nonlinear systems by backstepping approach

Yumei Sun et al.

INFORMATION SCIENCES (2016)

Article Automation & Control Systems

Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation

Wei He et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2016)

Article Computer Science, Artificial Intelligence

Approximation-Based Adaptive Fuzzy Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Time-Delay Systems

Huanqing Wang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

Adaptive NN control for a class of stochastic nonlinear systems with unmodeled dynamics using DSC technique

Zifu Li et al.

NEUROCOMPUTING (2015)

Article Computer Science, Artificial Intelligence

Output-Feedback Adaptive Neural Control for Stochastic Nonlinear Time-Varying Delay Systems With Unknown Control Directions

Tieshan Li et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

Adaptive NN Control of a Class of Nonlinear Systems With Asymmetric Saturation Actuators

Jianjun Ma et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)

Article Automation & Control Systems

Adaptive output feedback control for a class of nonlinear systems with full-state constraints

Yan-Jun Liu et al.

INTERNATIONAL JOURNAL OF CONTROL (2014)

Article Automation & Control Systems

Finite-time stabilization of stochastic nonlinear systems in strict-feedback form

Suiyang Khoo et al.

AUTOMATICA (2013)

Article Computer Science, Artificial Intelligence

A Combined Backstepping and Stochastic Small-Gain Approach to Robust Adaptive Fuzzy Output Feedback Control

Shaocheng Tong et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2013)

Article Automation & Control Systems

Command Filtered Adaptive Backstepping

Wenjie Dong et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2012)

Article Automation & Control Systems

Finite-time stability and instability of stochastic nonlinear systems

Juliang Yin et al.

AUTOMATICA (2011)

Article Automation & Control Systems

Control of nonlinear systems with time-varying output constraints

Keng Peng Tee et al.

AUTOMATICA (2011)

Article Automation & Control Systems

Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems

Shaocheng Tong et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2011)

Article Automation & Control Systems

Control of nonlinear systems with partial state constraints using a barrier Lyapunov function

Keng Peng Tee et al.

INTERNATIONAL JOURNAL OF CONTROL (2011)

Article Automation & Control Systems

Finite-time stability theorem of stochastic nonlinear systems

Weisheng Chen et al.

AUTOMATICA (2010)

Article Automation & Control Systems

Barrier Lyapunov Functions for the control of output-constrained nonlinear systems

Keng Peng Tee et al.

AUTOMATICA (2009)

Article Automation & Control Systems

Adaptive Backstepping Controller Design for Stochastic Jump Systems

Yuanqing Xia et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2009)

Article Automation & Control Systems

Command Filtered Backstepping

Jay A. Farrell et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2009)

Article Automation & Control Systems

Adaptive finite-time control of nonlinear systems with parametric uncertainty

YG Hong et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2006)

Article Automation & Control Systems

Output feedback control design for strict-feedback stochastic nonlinear systems under a risk-sensitive cost

YG Liu et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2003)

Article Automation & Control Systems

A continuous feedback approach to global strong stabilization of nonlinear systems

CJ Qian et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2001)

Article Automation & Control Systems

Dynamic surface control for a class of nonlinear systems

D Swaroop et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2000)

Article Automation & Control Systems

Finite-time stability of continuous autonomous systems

SP Bhat et al.

SIAM JOURNAL ON CONTROL AND OPTIMIZATION (2000)