Exact(3)
In the second part of this series of papers we specialize the algorithm to systems of ellipses and ellipsoids and present performance results for our implementation, demonstrating the practical utility of the algorithm.
We report the results of a first implementation demonstrating the use of an ontology to support reasoning about obstacles to improve the capabilities and performance of on-board route planning for autonomous vehicles.
As a result, an optimum design procedure is developed for controller design, which is also experimentally verified in a practical implementation demonstrating a settling time of only 50msec without any overshoot, for a gyroscope having a quality factor (Q-factor) of 50,000.
Similar(57)
Successful control implementation demonstrates the efficacy of this hybrid system identification approach.
The result of case studies from prototype implementation demonstrates its effectiveness and efficiency.
Successful case study, software system design and implementation demonstrated the performance of the proposed approach.
This implementation demonstrates behaviour similar to that observed in studies of human designers.
An example implementation demonstrates the applicability and efficiency of the proposed approach.
Evaluation results on a prototype implementation demonstrate the effectiveness of our system design.
Our prototype implementation demonstrates that the algorithm is efficient even for significantly complex domains.
Experimental results with the prototype implementation demonstrate that JRS outperforms conventional schemes, even under heavy traffic conditions.
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