Adaptive Control of Parkinson's State Based on a Nonlinear Computational Model with Unknown Parameters.
Fei SuJiang WangBin DengXile WeiYingyuan ChenChen LiuHuiyan LiPublished in: Int. J. Neural Syst. (2015)
Keyphrases
- computational model
- adaptive control
- adaptive controller
- variable structure
- computational models
- nonlinear systems
- cognitive architecture
- computational framework
- working memory
- feedback control
- cognitive modeling
- control method
- language acquisition
- dynamic environments
- control law
- visual processing
- reinforcement learning
- chaotic systems
- computational modeling
- information processing
- short term memory
- multi modal
- object recognition
- real time
- machine learning