Distribution consensus of nonlinear stochastic multi-agent systems based on sliding-mode control with probability density function compensation.
Jing WangXuerou ZhangJinglin ZhouYangquan ChenPublished in: J. Frankl. Inst. (2020)
Keyphrases
- probability density function
- sliding mode control
- adaptive neural
- density function
- weibull distribution
- probability distribution
- probability density
- adaptive fuzzy
- expectation maximization
- gaussian mixture model
- em algorithm
- statistical methods
- neural network
- robot manipulators
- nonlinear systems
- control strategy
- bayesian framework
- mixture model
- support vector regression
- low dimensional
- fuzzy controller
- feed forward
- distance function
- training data
- computer vision