An online optimization approach for multi-agent tracking of dynamic parameters in the presence of adversarial noise.
Shahin ShahrampourAli JadbabaiePublished in: ACC (2017)
Keyphrases
- multi agent
- real time
- dynamically updated
- dynamic optimization
- cooperative
- fine tuning
- multi agent systems
- visual tracking
- signal to noise ratio
- parameter settings
- optimization problems
- parameter optimization
- input data
- maximum likelihood
- missing data
- sensitivity analysis
- noise level
- parameter values
- noisy data
- optimization method
- optimization algorithm
- dynamic environments
- online learning
- learning algorithm
- global optimization
- multiagent systems
- expectation maximization
- optimization process
- median filter
- moving target
- motion estimation
- random noise
- genetic algorithm