Relative Threshold-Based Event-Triggered Control for Nonlinear Constrained Systems With Application to Aircraft Wing Rock Motion

Liu, Lei; Liu, Yan-Jun; Tong, Shaocheng

doi:10.1109/tii.2021.3080841

Cited by 34 publications

(5 citation statements)

References 55 publications

(67 reference statements)

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“…The time-driven mechanism requires continuous sampling, which leads to some unnecessary data transmission and resource waste. To surmount this hindrance, the event-triggered control (ETC) method has obtained steadily research interest, whose purpose is to decrease data transmission and save network resource (Liu et al, 2022a; Tallapragada and Chopra, 2013; Zhao et al, 2021). The core thought of ETC is that the control signals are triggered only when the presupposed condition is satisfied.…”

Section: Introductionmentioning

confidence: 99%

Event-triggered adaptive fuzzy asymptotic control design for uncertain stochastic nonlinear systems

Liu

Zhu

2023

Transactions of the Institute of Measurement and Control

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The adaptive fuzzy asymptotic tracking control (AFATC) method is presented for uncertain stochastic nonlinear systems by virtue of event-triggered mechanism. The fuzzy logic systems are borrowed to address system uncertainties. By applying the backstepping technique, the AFATC strategy is recursively constructed. Different from the existing approximation-based methods, the developed controller can achieve asymptotic convergence feature. Moreover, the event-triggered mechanism is integrated into the controller design process to reduce data transmission and unnecessary resource waste. By applying the Lyapunov analysis and several helpful lemmas, the stability and convergence of the considered systems are ensured. Finally, the availability of the theory analysis is verified by a chemical reactor system.

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Section: Introductionmentioning

confidence: 99%

Event-triggered adaptive fuzzy asymptotic control design for uncertain stochastic nonlinear systems

Liu

Zhu

2023

Transactions of the Institute of Measurement and Control

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“…Unlike periodic control, ETM reduces communication and allows the regulated usage of resources. The basic theory of the ETM is that the broadcast of current measurements of the system states and updates of the control input can be delayed until a pre-designed condition is satisfied [4][5][6][7][8]. To guarantee the closed-loop stability of an event-triggered control system, Lyapunov functions are widely used in designing the ETMs [5,6].…”

Section: Introductionmentioning

confidence: 99%

Input‐based event‐triggered control of a discrete‐time singularly perturbed system under a resource constrained environment

Sahu

Bhandari

Fulwani

2023

Asian Journal of Control

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This paper proposes an input‐based event‐triggered mechanism for a network‐controlled discrete‐time singularly perturbed system, where the latest measurements are transmitted when a predefined condition is satisfied on the input. The significant contribution of the proposed work is the separation of control updates for slow and fast dynamics such that the proposed event‐triggered mechanism updates and broadcasts the current measurements of slow and fast dynamics in their respective time scales and reduces the usage of network resources. Further, the proposed input‐based event‐triggered mechanism avoids redundant updates of the control input and reduces actuation and resource utilization in some instances. Furthermore, the ultimate boundedness of the system states is established. The simulation uses a quarter‐car suspension system to demonstrate the proposed theory.

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“…Therefore, it is of great significance for engineering practice to carry out research on control design of NSF nonlinear systems. Since the unknown nonlinear dynamics exist in NSF nonlinear systems include all state variables instead of part of state variables, the previous control schemes designed for pure feedback systems [1,2] or strict feedback systems [3,4] cannot be directly applied to solve the control design problem of such systems, otherwise the algebraic loop problem will arise. Some adaptive control methods have been proposed to achieve effective control of NSF systems.…”

Section: Introductionmentioning

confidence: 99%

Non‐singular fixed‐time fuzzy adaptive control for nonlinear systems subject to actuator faults

Yu,

Jia,

Chen

et al. 2023

IET Control Theory & Appl

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This paper proposes a non‐singular fixed‐time fault‐tolerant adaptive tracking control method for a kind of multi‐input and multi‐output nonlinear system, which is in form of non‐strict feedback and is subject to actuator faults. The major contribution, compared to other practical fixed‐time fault‐tolerant control methods, is that the fixed time can be calculated precisely. By applying fuzzy logic systems, the identification of unknown nonlinearities is achieved, and by the boundness of fuzzy basis functions, the algebraic loop problem is avoided. Based on the fixed‐time stability theory, the practical fixed‐time fault‐tolerant adaptive tracking control method is proposed with adaptive back‐stepping control technology, in which the control singular problem is overcome by applying the adding power integration method. By the Lyapunov function theory, the practical fixed‐time stability of the closed‐loop system is theoretically proved. And even in the case of unknown actuator faults, the tracking error of the controlled system for the given command signal can still converge to a small neighbourhood of zero within a fixed time, regardless of the system initial state. Finally, the proposed control method is successfully implemented on a multi‐motor control platform, proving its effectiveness, and multiple comparative simulations are carried out, demonstrating its superiority.

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Relative Threshold-Based Event-Triggered Control for Nonlinear Constrained Systems With Application to Aircraft Wing Rock Motion

Cited by 34 publications

References 55 publications

Event-triggered adaptive fuzzy asymptotic control design for uncertain stochastic nonlinear systems

Event-triggered adaptive fuzzy asymptotic control design for uncertain stochastic nonlinear systems

Input‐based event‐triggered control of a discrete‐time singularly perturbed system under a resource constrained environment

Non‐singular fixed‐time fuzzy adaptive control for nonlinear systems subject to actuator faults

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