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Mechanik
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Adaptive Inverse Iterative Learning Control (AAS 03-106)
On the Periodic Images of Start-Up in Repetitive Control (AAS 07-218)
On the Periodic Images of Start-Up in Repetitive Control (AAS 07-218)
Designing Optimized FIR Repetitive Controllers from Noisy Frequency Response Data (AAS 07-217)
Designing Optimized FIR Repetitive Controllers from Noisy Frequency Response Data (AAS 07-217)
Creating a Short Time Equivalent of Frequency Cutoff for Robustness in Learning Control (AAS 03-105)
The Effect of Averaging in Matched Basis Function Real Time Repetitive Control (AAS 03-104)
Inverse Dynamics Approach for Real-Time Optimal Control of Robots (AAS 05-165)
Design of an Optimal Combination of Feedback and Iterative Learning Controllers (AAS 04-153)
Tuning and Performance of Robust Multiple-Period Repetitive Control (AAS 06-144)
Root Locus Analysis of Higher Order Repetitive Control (AAS 05-230)
Stability Issues Using FIR Filtering in Repetitive Control (AAS 02-206)
Rejection of Multiple Periodic Disturbances Using MELMS With Disturbance Identification (AAS 01-143)
Rejection of Multiple Periodic Disturbances Using MELMS With Disturbance Identification (AAS 01-143)
On the Waterbed Effect in Repetitive Control Using Zero-Phase Filtering (AAS 01-196)
On the Waterbed Effect in Repetitive Control Using Zero-Phase Filtering (AAS 01-196)
Conditions for Convergence in Indirect Adaptive Control Based Learning Control
Phase Cancellation Learning Control Using FFT Weighted Frequency Response Identification
Use of Decoupling Basis Functions in Learning Control for Local Learning and Improved Transients
Experiments Bridging Learning and Repetitive Control
Monotonic Vibration Suppression Using Repetitive Control and Windowing Techniques
Design of Digital Learning Controllers Using a Partial Isometry
Implementing Time Optimal Robot Maneuvers Using Realistic Actuator Constraints and Learning Control
Stability of Matched Basis Function Repetitive Control (AAS 00-103)
Bridging Learning Control and Repetitive Control Using Basis Functions
Frequency-Domain Clear-Box Disturbance Rejection (AAS 00-105)
Floquet Stability Analysis of Disturbance Cancellation Using Iterative Basis Function Feedback
Unified Formulation of Linear Iterative Learning Control (AAS 00-106)
Limit Cycles for Improved Performance in Self-Tuning Learning Control
Understanding How Minimum-Time Control Optimizes Link Interaction Forces in Polar Coordinate Robots