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Found 7 papers, 0 papers with code
Frequency Domain Auto-tuning of Structured LPV Controllers for High-Precision Motion Control
Motion systems are a vital part of many industrial processes.
Exploring the use of deep learning in task-flexible ILC
To benchmark the performance of the proposed approach, a simulation study is presented which compares the TAIL-ILC to classical model-based feedforward strategies and existing learning-based approaches, such as neural network based feedforward learning.
On Improved Commutation for Moving-Magnet Planar Actuators
The demand for high-precision and high-throughput motion control systems has increased significantly in recent years.
On modal observers for beyond rigid body $H_\infty$ control in high-precision mechatronics
The ever increasing need for performance results in increasingly rigorous demands on throughput and positioning accuracy of high-precision motion systems, which often suffer from position dependent effects that originate from relative actuation and sensing of the moving-body.
LPV sequential loop closing for high-precision motion systems
Increasingly stringent throughput requirements in the industry necessitate the need for lightweight design of high-precision motion systems to allow for high accelerations, while still achieving accurate positioning of the moving-body.
On discretization of continuous-time LPV control solutions
However, the main complication of CT synthesis approaches is the successive implementation of the resulting CT control solutions on physical hardware.
Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system
Growing demands in the semiconductor industry result in the need for enhanced performance of lithographic equipment.
