Online Steady-State Detection for Process Control Using Multiple Change-Point Models and Particle Filters.
Jianguo WuYong ChenShiyu ZhouXiaochun LiPublished in: IEEE Trans Autom. Sci. Eng. (2016)
Keyphrases
- steady state
- process control
- particle filter
- change point
- markov chain
- multiple objects
- product form
- real time
- monte carlo
- state space
- probabilistic model
- control system
- visual tracking
- particle filtering
- heavy traffic
- importance sampling
- steady states
- complex systems
- model selection
- object tracking
- queue length
- markov chain monte carlo
- queueing networks
- detection algorithm
- estimation problems
- hidden markov models
- spatio temporal
- bayesian networks