Disturbance-tailored super-twisting algorithms: Properties and design framework.
Hernan HaimovichHernán De BattistaPublished in: Autom. (2019)
Keyphrases
- conceptual framework
- data structure
- case study
- orders of magnitude
- main contribution
- machine learning algorithms
- engineering design
- efficient implementation
- software architecture
- computational efficiency
- theoretical analysis
- key properties
- computational framework
- convergence rate
- benchmark datasets
- optimization problems
- worst case
- significant improvement
- data mining algorithms
- user interface
- computational complexity
- design principles
- decision trees
- information systems
- social networks
- pruning strategy
- genetic algorithm