Joint state-parameter estimation for active vehicle suspensions: A Takagi-Sugeno Kalman filtering approach.
Nils PletschenStefan BarthelmesBoris LohmannPublished in: CDC (2015)
Keyphrases
- parameter estimation
- kalman filtering
- state estimation
- maximum likelihood
- kalman filter
- model selection
- takagi sugeno
- least squares
- markov random field
- em algorithm
- fuzzy model
- expectation maximization
- controller design
- fuzzy control
- parameter estimation algorithm
- particle filtering
- fuzzy systems
- real time
- nonlinear systems
- state space
- rule base
- control algorithm
- pattern recognition