4.5 Article

A New Robust Adaptive Control Method for Complex Nontriangular 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

Finite-Time Adaptive Fuzzy Event-Triggered Control of Constrained Nonlinear Systems via Bounded Command Filter

Zhibao Song et al.

Summary: This note explores the finite-time adaptive tracking control of nonlinear systems with unmodeled dynamics, asymmetric time-varying output constraints, and uncertain disturbances. Fuzzy logic systems are used to handle the unknown complicated functions. A novel backstepping approach is developed by combining barrier Lyapunov functions and bounded finite-time command filter. By regulating the threshold parameters online, a new dynamic event-triggered controller is established to ensure bounded signals and finite-time tracking of the output. The feasibility of the proposed control algorithm is demonstrated through a numerical example and a practical application.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2023)

Article Automation & Control Systems

An adaptive homogeneous domination method to time-varying control of nonlinear systems

Zhen-Guo Liu et al.

Summary: The study focuses on the adaptive control issue of uncertain nonlinear systems with complex polynomial growth conditions. A new time-varying adaptive controller is successfully obtained to ensure global asymptotic stability of the equilibrium point, along with an extended robust adaptive controller provided.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2022)

Article Automation & Control Systems

Finite-Time Tracking Control for a Class of MIMO Nonstrict-Feedback Nonlinear Systems Via Adaptive Fuzzy Method

Hang Su et al.

Summary: This paper presents a finite-time adaptive fuzzy control scheme for MIMO nonstrict-feedback nonlinear systems with fuzzy dead zones, ensuring tracking error convergence to the origin in finite time. The main advantage is addressing finite-time control for MIMO systems with input nonlinearities, with simulation examples provided to demonstrate effectiveness.

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS (2022)

Article Automation & Control Systems

Disturbance and state observer-based adaptive finite-time control for quantized nonlinear systems with unknown control directions

Bo Meng et al.

Summary: This paper proposes a novel finite-time tracking control algorithm for nonlinear systems with input quantization and unknown control directions. Nonlinear functions in the system are approximated using fuzzy logic systems, with estimation of unknown system states and tracking of external disturbances achieved through designed fuzzy state observers and disturbance observers. The approach resolves difficulties caused by unknown control directions and ensures boundedness of all signals and convergence of tracking and observer errors.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2022)

Article Computer Science, Artificial Intelligence

Observer-based adaptive neural tracking control for a class of nonlinear systems with prescribed performance and input dead-zone constraints

Guangdeng Zong et al.

Summary: This paper investigates the problem of output feedback neural network learning tracking control for nonlinear strict feedback systems subject to prescribed performance and input dead zone constraints. An NN is utilized to approximate the unknown nonlinear functions and a state observer is developed to estimate the unmeasurable states. Through mathematical proofs, it is shown that all signals in the closed-loop systems are bounded and the tracking error can converge to an arbitrarily small neighborhood of the origin.

NEURAL NETWORKS (2022)

Article Engineering, Mechanical

Design of adaptive sliding mode controllers for perturbed nonlinear systems with partial unmeasurable states and state constraints

Chih-Chiang Cheng et al.

Summary: This paper proposes a sliding mode control strategy for perturbed nonlinear systems with unmeasurable states and state constraints to solve the state tracking problems. A partial states observer is designed to handle the unmeasurable states, and a barrier Lyapunov function is utilized to design a sliding surface function and an adaptive sliding mode tracking controller. The proposed strategy ensures that the states can track the desired signals and converge to zero in a finite time without violating the given state's constraints. Perturbation estimator and adaptive mechanisms are also employed to overcome the need for knowing the upper bounds of perturbations and perturbation estimation errors in advance.

NONLINEAR DYNAMICS (2022)

Article Automation & Control Systems

Command-Filtered Adaptive Fuzzy Control for Switched MIMO Nonlinear Systems with Unknown Dead Zones and Full State Constraints

Youqian He et al.

Summary: This paper studies the problem of adaptive fuzzy control for switched multi-input and multi-output (MIMO) nonlinear systems with full state constraints and unknown dead zones. The proposed method utilizes fuzzy logic systems to approximate unknown nonlinear functions and estimate unmeasured states. An adaptive fuzzy control strategy is then proposed to handle the complexity explosion and overcome the drawbacks of dynamic surface control. The effectiveness of the presented adaptive controller is demonstrated through simulation examples.

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS (2022)

Article Computer Science, Information Systems

Disturbance-observer-based finite-time adaptive fuzzy control for non-triangular switched nonlinear systems with input saturation

Weihai Zhang et al.

Summary: This paper investigates finite-time adaptive fuzzy control for a class of non-triangular switched nonlinear systems with asymmetric input saturation and mismatched external disturbances. The proposed control strategy accurately estimates total disturbances of the system and constrains the system output using a prescribed performance function. By utilizing smooth nonlinear functions to approximate actuator nonlinearity, the obstacle of asymmetric input saturation is handled effectively.

INFORMATION SCIENCES (2021)

Article Automation & Control Systems

Robust Fuzzy Adaptive Output Feedback Optimal Tracking Control for Dynamic Positioning of Marine Vessels with Unknown Disturbances and Uncertain Dynamics

Xiaoyang Gao et al.

Summary: This paper proposes a robust adaptive output feedback optimal tracking control design based on fuzzy logic systems for dynamic positioning of marine vessels. The control scheme consists of a feedforward controller, a feedback controller, and disturbance estimation to make the DP system robust. Simulation results show the effectiveness of the proposed DP control scheme.

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS (2021)

Article Automation & Control Systems

Asymptotic tracking control with preassigned transient performance for strict-feedback systems in the presence of unknown control directions

Gang Wang et al.

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

Article Automation & Control Systems

Consensus control of output-constrained multiagent systems with unknown control directions under a directed graph

Gang Wang et al.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2020)

Article Computer Science, Artificial Intelligence

Fuzzy Tracking Control for Switched Uncertain Nonlinear Systems With Unstable Inverse Dynamics

Guangru Shao et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)

Article Automation & Control Systems

Nonsmooth Feedback Control of Time-Delay Nonlinear Systems: A Dynamic Gain Based Approach

Xu Zhang et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2017)

Article Automation & Control Systems

Adaptive stabilization control for high-order nonlinear time-delay systems with its application

Na Duan et al.

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

Article Automation & Control Systems

A generalized homogeneous domination approach for global stabilization of inherently nonlinear systems via output feedback

Jason Polendo et al.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2007)