An Extension of Two Degree-of-Freedom of Self-Tuning GPC Based on State-space Approach Using Coprime Factorization Approach.
Akira YanouAkira InoueShiro MasudaPublished in: ICNSC (2007)
Keyphrases
- state space
- heuristic search
- state variables
- reinforcement learning
- reinforcement learning algorithms
- planning problems
- dynamic programming
- dynamical systems
- markov decision processes
- matrix factorization
- low rank
- continuous time markov process
- particle filter
- markov chain
- machine learning
- recommender systems
- high dimensional
- search algorithm
- markov decision process
- action space
- kronecker product