Dynamic scaling‐based adaptive control without scaling factor: With application to Euler–Lagrange systems

Xia, Dongdong; Yue, Xiaokui

doi:10.1002/rnc.5492

Cited by 10 publications

(2 citation statements)

References 41 publications

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“…However, apart from parametric uncertainties, the above adaptive control strategy is not capable of handling unstructured uncertainties (e.g., unknown dynamics, exogenous disturbance, measurement noise), which are primary encountered in practical problems [12][13][14]. In addition, the ideal asymptotic tracking performance and bounded parameter estimation would be destroyed if non-parametric uncertainties are not appropriately compensated [15]. Therefore, it is of great importance to develop a robust control framework with asymptotic convergence despite the bounded unstructured uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Fault‐tolerant adaptive tracking control for spacecraft attitude with asymptotic convergence

Yin,

Ning,

Wang

et al. 2024

Asian Journal of Control

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In this paper, we present a novel spacecraft attitude adaptive tracking control strategy that addresses the challenges posed by unknown inertia parameters, bounded unstructured uncertainties, and various actuator faults. To mitigate the adverse effects of these multiple uncertainties, our proposed control algorithm utilizes a simple tracking‐error feedback and compensation term, which only requires two adaptive parameters. This approach ensures asymptotic tracking convergence by employing an infinitely integrable inequality that incorporates saturation functions. As a result, the complexity of controller design and computational burden are significantly reduced. Finally, several numerical simulations are conducted to validate the feasibility and superiority of our proposed controller.

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Section: Introductionmentioning

confidence: 99%

Fault‐tolerant adaptive tracking control for spacecraft attitude with asymptotic convergence

Yin,

Ning,

Wang

et al. 2024

Asian Journal of Control

Self Cite

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“…Karagiannis et al [17] creatively applied dynamic scaling techniques to the design of an I&I-based controller, which has been widely used in recent years. A modular dynamic scaling-based I&I theory adaptive control was proposed [18] for spacecraft with parametric uncertainties for the first time. The introduction of dynamic scaling factor design including saturation function was used to demonstrate the convergence of the additive disturbance brought by the matrix reconstruction and removed the requirement of scaling factor in the controller implementation.…”

Section: Introductionmentioning

confidence: 99%

Finite-Time Tracking Control Based on Immersion and Invariance with Dynamically Scaling Factor for Agile Missiles

Chen

Niu

et al. 2022

Aerospace

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A novel finite-time tracking control algorithm with disturbances observer is investigated for agile missiles in the presence of mismatched and matched disturbances. A finite-time disturbance observer with the continuous super-twisting algorithm is designed to quickly estimate the mismatched and matched disturbances. An adaptive law on the basis of immersion and invariance theory (I&I) is proposed to estimate the uncertainty of aerodynamics and compensate for the inaccuracy of modeling. An adaptive dynamic scaling factor supervised by a designed supervision factor is implemented. Moreover, a novel sliding mode controller is designed, and a barrier Lyapunov function (CTV-BLF) containing the system state constraints is constructed, which can guarantee that the violation of the constraint will not appear. The finite-time stability of the new proposition is proven via Lyapunov-based analysis. Comparative simulation results illustrate the effectiveness of the proposed scheme.

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Observer‐based fixed‐time task‐space cooperative tracking control of networked Lagrangian agents with quantized communication

Ding,

Zhang,

et al. 2024

Intl J Robust & Nonlinear

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In this article, the task‐space cooperative tracking control (TSCTC) problem of networked Lagrangian agents (NLAs) with quantized communication is investigated in fixed time, where every Lagrangian agent suffers from imprecise dynamics and external disturbances. A hierarchical observer‐based fixed‐time control (HOBFTC) algorithm is proposed, where there are four parts: a prescribed‐time input observer is proposed to recover the unknown input of the leader, a distributed estimator control is designed to force the estimated values to converge the states (position and velocity) of the leader, a fixed‐time disturbance observer is presented to recover the total disturbances of NLAs, and a nonsingular fixed‐time local control is given to guarantee that the task‐space cooperative tracking can be achieved. The salient features are twofold: (1) by employing the hierarchical control strategy, the proposed control algorithm is clearly structured to solve the complex cooperative tracking problem with multiple constraints including quantized communication, imprecise dynamics and external disturbances. (2) the convergence time of the proposed control algorithm can be set freely by selecting some parameters, which are independent of the initial conditions. Some sufficient conditions are obtained and some simulation examples are given to validate the effectiveness of the proposed algorithm.

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Dynamic scaling‐based adaptive control without scaling factor: With application to Euler–Lagrange systems

Cited by 10 publications

References 41 publications

Fault‐tolerant adaptive tracking control for spacecraft attitude with asymptotic convergence

Fault‐tolerant adaptive tracking control for spacecraft attitude with asymptotic convergence

Finite-Time Tracking Control Based on Immersion and Invariance with Dynamically Scaling Factor for Agile Missiles

Observer‐based fixed‐time task‐space cooperative tracking control of networked Lagrangian agents with quantized communication

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