An LMI-based iterative algorithm for state and output feedback stabilization of discrete-time Lur'e systems.
Ariádne L. J. BertolinPedro L. D. PeresRicardo C. L. F. OliveiraGiorgio ValmorbidaPublished in: CDC (2020)
Keyphrases
- learning algorithm
- preprocessing
- dynamic programming
- input data
- worst case
- significant improvement
- cost function
- segmentation algorithm
- state variables
- k means
- computational cost
- state space
- computational complexity
- high accuracy
- detection algorithm
- feedback loop
- objective function
- experimental evaluation
- search space
- simulated annealing
- particle swarm optimization
- sufficient conditions
- optimization algorithm
- np hard
- mathematical model
- times faster
- recognition algorithm
- lower bound
- iterative optimization