Observer-based event-triggered tracking control for large-scale high order nonlinear uncertain systems

Yang, Panpan; Chen, Xingwen; Zhao, Xiangmo; Song, Jiacheng

doi:10.1007/s11071-021-06805-5

Cited by 14 publications

(6 citation statements)

References 43 publications

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“…However, some engineering applications may fail to conform to the corresponding assumptions. For example, the state variables may be unknown or partially known due to limitations of system characteristics or measurement methods, which need to be estimated by the state observer [45][46][47]. In some cases, the control gain function of the nonlinear systems, such as supersonic aircraft and marine drilling platform [48], may be unknown or difficult to determine.…”

Section: Introductionmentioning

confidence: 99%

Fixed-Time Tracking Control for State-Constrained Nonstrict-Feedback Systems Without Feasibility Conditions

Zhao

et al. 2023

Preprint

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This paper investigates the fixed-time tracking control schemes for a class of state-constrained nonstrict-feedback nonlinear systems without involving the feasibility conditions. Based on nonlinear mapping, a nonlinear state transformation function is constructed to convert the constrained system into an equivalent system without state constraints, which achieves the asymmetric time-varying state constraints and eliminates the feasibility conditions on the virtual controllers. A nonlinear fixed-time filter with dynamic surface control is utilized to handle the problem of explosion of complexity in the backstepping framework. Furthermore, we develop a fixed-time observer-based tracking control strategy for the nonstrict-feedback system subject to unmeasured states. To remove the restrictive assumptions of known control gain functions, the nonlinear system is reconstructed and the neural networks are employed to approximate the unknown terms. In addition, a hyperbolic tangent function is utilized to address the input saturation problem. Through the Lyapunov theorem, the closed-loop system is proven to be practical fixed-time stable within the constraint requirements. Finally, simulation results demonstrate the effectiveness of the proposed methods.

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Section: Introductionmentioning

confidence: 99%

Fixed-Time Tracking Control for State-Constrained Nonstrict-Feedback Systems Without Feasibility Conditions

Zhao

et al. 2023

Preprint

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“…3) Unlike References [4]- [14], a method about faulttolerant control and event triggering mechanism codesign is presented by backstepping technique. Besides, in contrast with the relative threshold triggering strategy in [25] and [27], a novel triggered approach based on system characteristic is implemented to further reduce the computational requirements of the communication process.…”

Section: Introductionmentioning

confidence: 99%

“…However, the signals from the controllers in the above references are transmitted cyclically, meaning that they are time-sampled, which results in a huge waste of resources, and to counter this, event-triggered control (ETC) technology [25,26] has attracted the attention of the crowd. Depending on the magnitude of the control input signal, three triggering strategies were designed in [27] to handle uncertain nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

Event-triggered adaptive fault estimation and fault-tolerant control for strict-feedback nonlinear systems with full state constraints

Liu,

Wu,

et al. 2023

Preprint

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This paper addresses the problem of eventbased adaptive fault estimation (FE) and fault-tolerant control (FTC) for a class of strict-feedback nonlinear systems with full state constraints. The unknown fault and the to-be-tested states of the system are estimated by an innovative adaptive fault observer based on a modified intermediate variable update law with fault switching function. In addition, an event-triggered mechanism and adaptive fault-tolerant controller co-design scheme is proposed according to backstepping algorithm and constrained technique, which not only eliminates the effect of fault presence but also leads to a significant reduction of communication resources. Through theoretical analysis, the constructed controller ensures that all signals within the system are ultimately bounded, and the state errors converge to the desired neighborhoods. Finally, the effectiveness of the method is illustrated by a simulation example of a single-link robot system.

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“…In the last several years, the event-triggered control (ETC) of nonlinear systems [1][2][3][4][5][6] has received extensive attention from scholars. For example, the output-feedback eventtriggered (ET) controllers are designed for nonlinear plant models [1].…”

Section: Introductionmentioning

confidence: 99%

“…Under a fixed/relative threshold strategy, the ETC problem is investigated for p-norm uncertain nonlinear systems to guarantee all the signals of the closed-loop systems converge to an arbitrarily small set [5]. A relative threshold event-triggered strategy is also investigated for large-scale high-order uncertain nonlinear systems [6]. Besides, an event-triggered (ET) stabilisation issue is investigated for IT2 fuzzy systems [7].…”

Section: Introductionmentioning

confidence: 99%

Event-Triggered Adaptive Neural Network Tracking Control with Dynamic Gain and Prespecified Tracking Accuracy for a Class of Pure-Feedback Systems

Liu

2022

Symmetry

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This paper studies the event-triggered adaptive tracking control problem of a class of pure-feedback systems. Via the backstepping method and the neural network approximation with the central symmetric distribution, an event-triggered adaptive neural network controller is designed. In particular, a dynamic gain driven by the tracking error is introduced into the event-triggering mechanism. Then, by using the Lyapunov stability theory, the boundedness of all the closed-loop signals is proved, and the tracking error falls into a prespecified ϵ-neighbourhood of zero. Meanwhile, the Zeno behaviour is avoided. Finally, two simulations verify the effectiveness of the proposed control scheme.

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Observer-based event-triggered tracking control for large-scale high order nonlinear uncertain systems

Cited by 14 publications

References 43 publications

Fixed-Time Tracking Control for State-Constrained Nonstrict-Feedback Systems Without Feasibility Conditions

Fixed-Time Tracking Control for State-Constrained Nonstrict-Feedback Systems Without Feasibility Conditions

Event-triggered adaptive fault estimation and fault-tolerant control for strict-feedback nonlinear systems with full state constraints

Event-Triggered Adaptive Neural Network Tracking Control with Dynamic Gain and Prespecified Tracking Accuracy for a Class of Pure-Feedback Systems

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