4.7 Article

Adaptive finite-time synchronisation of variable-order fractional chaotic systems for secure communication

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

Adaptive Fuzzy Fixed-Time Control for High-Order Nonlinear Systems With Sensor and Actuator Faults

Huanqing Wang et al.

Summary: This article considers the adaptive fuzzy fixed-time fault-tolerant tracking control problem for high-order nonlinear systems (HONSs) with sensor and actuator faults. Fuzzy logic systems are used to approximate the unknown nonlinear functions of the HONS. Based on backstepping technology and fixed-time theory, an adaptive fuzzy fixed-time fault-tolerant controller is developed to ensure bounded signals of the closed-loop HONS. A numerical example is presented to demonstrate the rationality of the proposed method.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2023)

Article Engineering, Mechanical

Command-filtered adaptive neural network backstepping quantized control for fractional-order nonlinear systems with asymmetric actuator dead-zone via disturbance observer

Jinzhu Yu et al.

Summary: An adaptive neural network backstepping quantized control method is proposed for fractional-order nonlinear systems with asymmetric actuator dead-zone and unknown external disturbance. An adaptive neural network mechanism is designed to estimate uncertain functions, and a command filter is introduced to avoid the complexity problem. A fractional-order disturbance observer is developed to handle the unknown external disturbance, and a hysteresis-type quantizer is used to quantify the final input signal. The effectiveness of the proposed method is verified through examples.

NONLINEAR DYNAMICS (2023)

Article Mathematics, Applied

Finite-/fixed-time bipartite consensus for first-order multi-agent systems via impulsive control

Shuo Gao et al.

Summary: This paper investigates the finite-/fixed-time bipartite consensus problem for multi-agent systems over signed graph using discontinuous impulsive control. The proposed impulsive control protocols have better convergence speed and less state information transmission compared to existing methods. The settling time for finite-time consensus depends on the initial conditions of systems, while this limitation is removed for fixed-time consensus. The effectiveness of the proposed impulsive protocols is validated through simulations.

APPLIED MATHEMATICS AND COMPUTATION (2023)

Article Automation & Control Systems

Adaptive finite-time optimised impedance control for robotic manipulators with state constraints

Chengpeng Li et al.

Summary: In this paper, an adaptive finite-time impedance control strategy based on optimised backstepping (OB) technique is proposed. The proposed method overcomes the drawback of existing OB methods by constructing simplified reinforcement learning (RL) updating laws and relaxing the persistence excitation requirement. The effectiveness of the proposed method is demonstrated through a simulation example with environment-robot interaction.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2023)

Article Automation & Control Systems

Finite-time command filter-based adaptive fuzzy output-feedback control for MIMO nonlinear systems with multiple actuator constraints

Shijia Kang et al.

Summary: In this article, a finite-time adaptive fuzzy output-feedback control strategy is proposed for MIMO nonlinear systems with multiple actuator constraints and unmeasured states. Fuzzy logic systems and a fuzzy adaptive state observer are used for uncertainty estimation and state estimation, respectively. The 'explosion of complexity' problem is tackled by command filter technology, and the corresponding error compensation mechanism is utilized. The presented approach is shown to be practical through numerical and practical examples.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2023)

Article Engineering, Mechanical

Finite-time adaptive neural resilient DSC for fractional-order nonlinear large-scale systems against sensor-actuator faults

Xiaona Song et al.

Summary: The aim of this paper is to study an adaptive neural finite-time resilient dynamic surface control strategy for a category of nonlinear fractional-order large-scale systems. A novelty fractional-order Nussbaum function and a coordinate transformation method are formulated to overcome the compound unknown control coefficients. An enhanced fractional-order DSC technology is employed to surmount the deficiency of explosive calculations. Furthermore, the radial basis function neural network is applied to address the unknown items related to the nonlinear FOLSSs.

NONLINEAR DYNAMICS (2023)

Article Automation & Control Systems

Adaptive Finite-Time Tracking Control of Nonlinear Systems With Dynamics Uncertainties

Huanqing Wang et al.

Summary: This article investigates the problem of adaptive backstepping finite-time tracking control for a class of strict-feedback nonlinear systems with unmodelled dynamics and dynamic disturbances. A modified finite-time dynamic signal is introduced to control the dynamic disturbance. By using adaptive control, backstepping technique, and finite-time stability theory, an adaptive finite-time tracking controller is developed, ensuring the finite-time tracking performance and boundedness property of all signals in the closed-loop system. Simulation results validate the effectiveness of the proposed approach.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2023)

Article Automation & Control Systems

Memory Fusion Controller of Fractional-Order Systems With Sliding Memory Window Under Intermittent Sampled-Data Transmission

Yiwen Chen et al.

Summary: This paper proposes a memory fusion controller design methodology for sampled-data control of fractional-order systems with sliding memory window. The designed controller can handle hereditary effect and satisfy general integer-order discrete systems at sampling instants. The asymptotical stability of the controller and sampling error are guaranteed. The developed fusion controller provides a convenient method for users unfamiliar with fractional calculus and simplifies the analysis. It is also applied to the coordination control of fractional-order multiagent systems subject to intermittent sampled-data transmission, where consensus achievement is proved to be related to the connectivity of communication graph. Numerical results are presented to validate the proposed control strategy.

IEEE TRANSACTIONS ON CYBERNETICS (2023)

Article Computer Science, Artificial Intelligence

Finite-Time Adaptive Neural Control for a Class of Nonlinear Systems With Asymmetric Time-Varying Full-State Constraints

Yan Zhang et al.

Summary: This article develops an adaptive finite-time tracking control scheme for a category of uncertain nonlinear systems with asymmetric time-varying full-state constraints and actuator failures. The original constrained nonlinear system is transformed into an equivalent "unconstrained" one using the uniform barrier function (UBF). By introducing a new coordinate transformation and employing neural network to approximate the unknown nonlinear function, the control design can handle more general state constraints. The developed finite-time control method ensures bounded signals in the closed-loop system and convergence of the output tracking error to a small neighborhood of the origin.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)

Article Computer Science, Artificial Intelligence

Adaptive Fuzzy Event-Triggered Command-Filtered Control for Nonlinear Time-Delay Systems

Min Li et al.

Summary: This article proposes an adaptive fuzzy dynamic event-triggered tracking control method using a command filter for nonlinear time-delay systems. Fuzzy logic systems are used to handle unknown nonlinear functions and compensate for approximation errors by introducing a hyperbolic tangent function. Time delays are addressed by incorporating delayed nonlinear functions into the Lyapunov-Krasovskii functional. A dynamic event-triggered control mechanism is designed to adjust the threshold parameter, and a new adaptive controller is constructed to ensure bounded states and desired signal tracking.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2022)

Article Automation & Control Systems

High-order sliding mode-based synchronisation of fractional-order chaotic systems subject to output delay and unknown disturbance

Ahcene Hamoudi et al.

Summary: This paper proposes a method to solve the synchronisation problem of nonlinear fractional-order chaotic systems with transmission delay and unknown disturbance. The method combines a fractional high-order sliding mode observer and a predictor to compensate for the delayed transmission signal and estimate the delayed states and total disturbance. Numerical simulations demonstrate the effectiveness of the proposed method.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2022)

Article Automation & Control Systems

Command filtered adaptive neural network synchronization control of fractional-order chaotic systems subject to unknown dead zones

Shumin Ha et al.

Summary: This paper proposes a synchronization control scheme for an uncertain fractional-order chaotic system using a fractional-order command filter and an error compensation mechanism to handle filtering errors. It introduces a radial basis function neural network to relax the requirement on the uncertain function, ensuring the stability of the system.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2021)

Article Automation & Control Systems

Adaptive fractional-order Kalman filters for continuous-time nonlinear fractional-order systems with unknown parameters and fractional-orders

Chuang Yang et al.

Summary: This paper proposes two types of adaptive Kalman filters for estimating state information of continuous-time nonlinear fractional-order systems with unknown parameters and fractional-orders. The filters developed include an adaptive extended Kalman filter and an adaptive cubature Kalman filter, utilizing different mathematical techniques to handle nonlinearity.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2021)

Article Engineering, Mechanical

Finite-time projective synchronization of fractional-order chaotic systems via soft variable structure control

Keyong Shao et al.

JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY (2020)

Article Automation & Control Systems

Sliding mode control for a class of variable-order fractional chaotic systems

Jingfei Jiang et al.

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

Article Automation & Control Systems

Design of a secure communication system between base transmitter station and mobile equipment based on finite-time chaos synchronisation

Somayeh Hashemi et al.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2020)

Article Mathematics, Interdisciplinary Applications

Existence of the solution and stability for a class of variable fractional order differential systems

Jingfei Jiang et al.

CHAOS SOLITONS & FRACTALS (2019)

Article Automation & Control Systems

Robust Finite-time Synchronization of Non-identical Fractional-order Hyperchaotic Systems and Its Application in Secure Communication

Hadi Delavari et al.

IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2019)

Article Engineering, Multidisciplinary

Universal chaos synchronization control laws for general quadratic discrete systems

Adel Ouannas et al.

APPLIED MATHEMATICAL MODELLING (2017)

Article Computer Science, Interdisciplinary Applications

What is a fractional derivative?

Manuel D. Ortigueira et al.

JOURNAL OF COMPUTATIONAL PHYSICS (2015)

Article Engineering, Multidisciplinary

Control of a novel class of fractional-order chaotic systems via adaptive sliding mode control approach

Chun Yin et al.

APPLIED MATHEMATICAL MODELLING (2013)

Review Engineering, Mechanical

Fractional integration and differentiation of variable order: an overview

Stefan Samko

NONLINEAR DYNAMICS (2013)

Article Mathematics, Applied

Design of sliding mode controller for a class of fractional-order chaotic systems

Chun Yin et al.

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION (2012)

Article Mathematics, Applied

A note on phase synchronization in coupled chaotic fractional order systems

Zaid Odibat

NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS (2012)

Article Mathematics, Applied

Projective synchronization of different fractional-order chaotic systems with non-identical orders

Gangquan Si et al.

NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS (2012)

Article Mathematics, Applied

Synchronization of different fractional order chaotic systems using active control

Sachin Bhalekar et al.

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION (2010)

Article Engineering, Mechanical

Stability analysis of linear fractional differential system with multiple time delays

Weihua Deng et al.

NONLINEAR DYNAMICS (2007)

Article Physics, Fluids & Plasmas

Generalized synchronization in fractional order systems

Weihua Deng

PHYSICAL REVIEW E (2007)

Article Physics, Multidisciplinary

Chaos synchronization of the fractional Lu system

WH Deng et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2005)

Article Physics, Multidisciplinary

Synchronization of chaotic fractional Chen system

WH Deng et al.

JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN (2005)

Article Engineering, Multidisciplinary

Control of damping oscillations by fractional differential operator with time-dependent order

D Ingman et al.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2004)

Article Engineering, Mechanical

A predictor-corrector approach for the numerical solution of fractional differential equations

K Diethelm et al.

NONLINEAR DYNAMICS (2002)