Disturbance Observer Based Optimal Attitude Control of NSV Using \theta -D Method.
Rongsheng XiaQingxian WuXiaohui YanPublished in: ICONIP (6) (2017)
Keyphrases
- dynamic programming
- similarity measure
- preprocessing
- significant improvement
- objective function
- high accuracy
- detection method
- classification accuracy
- synthetic data
- neural network
- probabilistic model
- clustering method
- control method
- attitudes toward
- optimization method
- classification method
- optimization algorithm
- support vector machine svm
- computationally efficient
- model selection
- input data
- lower bound
- reinforcement learning