Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 31 for “"iterative learning control"”.
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The robust stability of iterative learning control
… the notion of the long term robust stability of iterative learning control (ILC) systems engaged in trajectory tracking, using a robust stability theorem based on a biased version of the nonlinear gap metric. This is achieved through two main results: <br/><br/>The first concerns the …
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Robustification in Repetitive and Iterative Learning Control
Repetitive Control (RC) and Iterative Learning Control (ILC) are control methods that specifically deal with periodic signals or systems with repetitive operations. They have wide applications in diverse areas from high-precision manufacturing to high-speed assembly, and nowadays these algorithms …
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A distributed hierarchical iterative learning control framework
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms
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Iterative learning control: algorithm development and experimental benchmarking
… the general area of experimental benchmarking of Iterative Learning Control (ILC) algorithms using two experimental facilities. ILC is an approach which is suitable for applications where the same task is executed repeatedly over the necessarily finite time duration, known as the trial length. The …
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Optimality and iterative learning control: duality and input prediction
… considers the use of optimal techniques within iterative learning control (ILC) applied to linear systems. Two different aspects are addressed: the first is the duality relationship existing between iterative learning control and repetitive control which allows the synthesis of controllers …
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Switched Q -Filters in Repetitive Control and Iterative Learning Control
Applications for periodic and repetitive systems which can benefit from the algorithms studied in this research are many. One of the most obvious applications is in robotic systems used in manufacturing. In this thesis research, the practicality of the various algorithms was demonstrated by …
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Iterative learning control for improved tracking of fluid percussion injury device
… not execute the desired pressure profile. The controller used is a QCI-S3-IG Silver Sterling from Quick Silver Controls. A limitation innate to the controller was a 3-millisecond sampling of the input signal that proved challenging for developing fast, accurate FPI pulses with periods as fast …
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Advances in iterative learning control with application to structural dynamic response reconstruction
Iterative learning control (ILC) is a repetitive control scheme that uses a learning capability to improve the tracking accuracy of a desired test system output over repeated test trials. ILC is sometimes used in response reconstruction on complex engineering structures, such as ground vehicles, …
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Precision coordination and motion control of multiple systems via iterative learning control
… of multiple systems. Traditional approaches for controlling these systems often neglect the underlying coupling in the application. To stay at the forefront of these fields requires the development of innovative approaches to new challenges. The research in this dissertation focuses on designing …
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Set-to-set iterative learning control with applications to electrified aircraft operations
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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Iterative learning control of direct write additive manufacturing using online process monitoring
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Iterative Learning Control for Precision Motion Control of Microscale and Nanoscale Tracking Systems
… 4x higher bandwidth over the original feedback controller and achieving 1500 Hz tracking bandwidth during critical partitions of a given trajectory.
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Flexible adaptation of iterative learning control with applications to synthetic bone graft manufacturing
… of this work is the development of a control algorithm that precisely places different build materials in specified locations, thereby the fabrication of advanced architecture scaffolds is feasible. Under previous control methods, designs were relegated to be composed of a single …
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Vision based iterative learning control for a roll to roll micro/nano-manufacturing system
… Since the web undergoes a repetitive trajectory, Iterative Learning Control (ILC) can thereby be used to improve the position tracking precision, as well as the web tension regulation. We seek to further improve the position tracking performance by combining ILC with direct visual observation on …
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Direct process feedback in extrusion-based additive manufacturing using an improved iterative learning control approach
… Extrusion-based printing also lacks appropriate control tools for material deposition to correct for and avoid defects. Iterative learning control (ILC) is a candidate control strategy for manufacturing applications due to the repetitive nature of manufacturing processes. However, there are …
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The re-education of upper limb movement post stroke using iterative learning control mediated by electrical stimulation
… the participant. This study developed and tested iterative learning control (ILC) algorithms mediated by ES, using a purpose designed robotic workstation, for upper limb rehabilitation post stroke. Surface electromyography (EMG) which may be related to impaired performance and function was used to …
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Iterative Learning Control of an Electrohydraulic Injection Molding Machine With Smoothed Fill -to -Pack Transition and Adaptive Filtering
The control algorithms are implemented and tested on an industrial IMM as well as a smaller physical testbed. The results of the experimental investigations demonstrate several things. The system model is shown to be very accurate and provides an excellent simulation environment for rapid …
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Development of the finite and infinite interval learning control theory
… centers on the theories of Finite Interval Learning (FIL) and Infinite Interval Learning (IIL) for nonlinear systems with deterministic uncertainties. Considering the existence of non-smooth nonlinearties in real systems, Iterative Learning Control (ILC) is extended to systems with …
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High-performance torque control of switched reluctance motor
… and computationally simple for real-time controller implementation. Both indirect torque control (IDTC) and direct torque control (DTC) approaches have been explored for phase torque tracking control. Advanced model-free and model-based nonlinear control techniques have been investigated. …
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