A fast-moving horizon estimation method based on the symplectic pseudospectral algorithm.
Xinwei WangJie LiuHaijun PengXudong ZhaoPublished in: Trans. Inst. Meas. Control (2021)
Keyphrases
- high accuracy
- estimation algorithm
- cost function
- improved algorithm
- dynamic programming
- detection algorithm
- experimental evaluation
- detection method
- optimization algorithm
- estimation accuracy
- computational cost
- theoretical analysis
- synthetic and real images
- significant improvement
- objective function
- single pass
- preprocessing
- recognition algorithm
- k means
- clustering method
- parameter estimation
- support vector machine svm
- energy function
- segmentation algorithm
- maximum likelihood estimation
- classification algorithm
- computational complexity
- computationally efficient
- matching algorithm
- convergence rate
- computational efficiency
- similarity measure
- learning algorithm
- classification method
- prior information
- optimization method
- em algorithm
- total least squares
- segmentation method
- high efficiency
- search space
- region of interest
- density estimation
- selection algorithm
- reconstruction method
- decision directed
- image matching
- mathematical model
- expectation maximization
- support vector machine
- probabilistic model
- clustering algorithm
- tree structure
- particle swarm optimization
- simulated annealing
- edge detection
- denoising
- moving target
- least squares
- np hard
- extended kalman filter
- image segmentation