Results 11 to 20 of about 303,155 (330)

Batch-to-Batch Adaptive Iterative Learning Control-Explicit Model Predictive Control Two-Tier Framework for the Control of Batch Transesterification Process. [PDF]

open access: yesACS Omega, 2022
To harness energy security and reduce carbon emissions, humankind is trying to switch toward renewable energy resources. To this extent, fatty acid methyl esters, also known as biodiesel, are popularly used as a green fuel.
Gupta N, De R, Kodamana H, Bhartiya S.
europepmc   +2 more sources

Research on Adaptive Iterative Learning Control of Air Pressure in Railway Tunnel With IOTs Data

open access: yesIEEE Access, 2020
When a train enters a tunnel, the passengers in the train will feel tinnitus. The main reason is that the pressure in the tunnel enters the vehicle through the adjusting system of the train, which will cause discomfort to the passengers.
Yinjun Zhang, Jianhua Su, Mengji Chen
doaj   +1 more source

Neural Network-Based Error-Tracking Iterative Learning Control for Tank Gun Control Systems With Arbitrary Initial States

open access: yesIEEE Access, 2020
In this paper, a novel neural network-based error-track iterative learning control scheme is proposed to tackle trajectory tracking problem for tank gun control systems.
Qiyao Yang   +4 more
doaj   +1 more source

AILC for Rigid-Flexible Coupled Manipulator System in Three-Dimensional Space with Time-Varying Disturbances and Input Constraints

open access: yesActuators, 2022
In this paper, an adaptive iterative learning control (AILC) law is developed for two-link rigid-flexible coupled manipulator system in three-dimensional (3D) space with time-varying disturbances and input constraints.
Jiaming Zhang   +3 more
doaj   +1 more source

Adaptive Neural Network Iterative Sliding Mode Course Tracking Control for Unmanned Surface Vessels

open access: yesJournal of Mathematics, 2022
In view of the problem of course tracking control of under-driven USV under complex external environment, the adaptive control law is designed by constructing an iterative sliding mode function and using Lyapunov stability theory on the basis of the ...
Chunbo Zhao   +4 more
doaj   +1 more source

Data-Driven Adaptive Iterative Learning Control of a Compliant Rehabilitation Robot for Repetitive Ankle Training

open access: yesIEEE Robotics and Automation Letters, 2023
This letter investigates the repetitive range of motion (ROM) training control for a compliant ankle rehabilitation robot (CARR). The CARR utilizes four pneumatic muscle (PM) actuators to manipulate the ankle with three rational degree-of-freedoms (DoFs)
Kun Qian   +4 more
semanticscholar   +1 more source

Angle Error-Tracking Iterative Learning Control for Pneumatic Artificial Muscle System

open access: yesIEEE Access, 2021
In this paper, a novel angle error-track adaptive iterative learning control scheme is proposed to solve the angle tracking problem for a pneumatic artificial muscle-actuated mechanism with nonzero initial errors. Lyapunov synthesis is used to design the
Qiyao Yang   +4 more
doaj   +1 more source

Robust Stability of Iterative Learning Control Schemes [PDF]

open access: yes, 2007
A notion of robust stability is developed for iterative learning control in the context of disturbance attenuation. The size of the unmodelled dynamics is captured via a gap distance, which in turn is related to the standard H2 gap metric, and the ...
French, Mark
core   +1 more source

Model Reference Adaptive Iterative Learning Speed Control for Ultrasonic Motor

open access: yesIEEE Access, 2020
In the design process of the controller, the adaptive gain of model reference adaptive control (MRAC) often requires a tradeoff between the adaptive ability, robustness and stability of the control system.
Shi Jingzhuo, Wenwen Huang
doaj   +1 more source

Improved Indirect Iterative Learning MIT Control Method for Ultrasonic Motor

open access: yesIEEE Access, 2021
MIT control strategy is a kind of model reference adaptive control method with the simplest structure. The reason why the structure is simple is that only the gain of the controlled object is adaptively adjusted.
Shi Jingzhuo, Wenwen Huang, Zhao Liuqing
doaj   +1 more source

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