Results 11 to 20 of about 308,743 (257)
Model-Free Robust Backstepping Adaptive Cruise Control
International Journal of Aerospace Engineering, 2023 This paper studies the model-free robust adaptive cruise control problem of a vehicle with unknown nonlinear dynamics and disturbances. First, under backstepping control framework, the position tracking errors with different spacing strategies are used ...
Yanan Zhang, Jiacheng Song
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Model-Free Adaptive Control Based on Fractional Input-Output Data Model
Applied Sciences, 2022 Memory properties of fractional-order operators are considered for an input-output data model for highly uncertain nonlinear systems. The model arises by relating the fractional-order variation of the output to the fractional-order variation of the input;
Chidentree Treestayapun +1 more
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Frontiers in Robotics and AI, 2022 Model predictive control is a widely used optimal control method for robot path planning and obstacle avoidance. This control method, however, requires a system model to optimize control over a finite time horizon and possible trajectories. Certain types
Ahmad AlAttar +3 more
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A Modified Model-Free Adaptive Control Method for Large-Scale Morphing Unmanned Vehicles
Drones, 2023 This paper investigates the attitude control problem for large-scale morphing unmanned vehicles. Considering the rapid time-varying and strong aerodynamic interference caused by large-scale morphing, a modified model-free control method utilizing only ...
Haohui Che +3 more
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Quantized Output Observer-based Data Driven Model-free Adaptive Control
Journal of Applied Science and Engineering, 2023 This paper studies the quantized output data observer based data-driven model-free adaptive control(qMFAC) for discrete-time nonlinear systems with unknown structures and network transmission constraints.
Bing Ren, Guangqing Bao
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Model-Free Adaptive Control Compensated with Disturbance
CoRR, 2021 In this paper, we restudy how to modify the model-free adaptive control (MFAC) to reject the disturbance both in single-input single-output (SISO) systems and multiple-input multiple-output (MIMO) systems, with the aim to pave the way for the development of this interesting controller in the future.
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Toward Data-Driven Optimal Control: A Systematic Review of the Landscape
IEEE Access, 2022 This literature review extends and contributes to research on the development of data-driven optimal control. Previous reviews have documented the development of model-based and data-driven control in isolation and have not critically reviewed ...
Krupa Prag +2 more
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Model-free adaptive control for the heading angle of a UAV [PDF]
E3S Web of Conferences, 2021 The difficulty of accurately modeling the aerodynamics of the heading angle of unmanned aerial vehicles is well known. Furthermore, it is difficult to control the heading angle of an unmanned aerial vehicle (UAV) with a model-based method under the ...
Li Di, Shu Kun
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DDC Control Techniques for Three-Phase BLDC Motor Position Control
Algorithms, 2017 In this article, a novel hybrid control scheme is proposed for controlling the position of a three-phase brushless direct current (BLDC) motor. The hybrid controller consists of discrete time sliding mode control (SMC) with model free adaptive control ...
Rana Javed Masood +3 more
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Actuators, 2022 A model-free adaptive predictive control algorithm based on an improved extended state observer (IESO) is proposed to solve the problem that the primary permanent magnet linear motor is susceptible to time-varying parameters and unknown disturbances ...
Xiuping Wang +6 more
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