A smart controller based on reinforcement learning algorithm is proposed, and its performance is demonstrated by using it to control the level of liquid in a non-linear conical tank system.
For the proposed method, its performance also degrades.
Then a new method for initial condition estimation for chaotic signal is proposed and its performance is also shown.
In this paper, a new correlation strategy especially targeted for low SNR regions is proposed and its performance is analyzed.
A novel refrigeration system called hydrate-based refrigeration system was proposed, and its performance was analyzed by using Aspen Plus.
Furthermore, the equalized maximum likelihood (EML) receiver is proposed, and its performance is improved because of the optimized target response.
A novel multistep process utilizing a weak anion exchanger with polyamine functionality is proposed and its performance was investigated experimentally.
A modified noise estimation algorithm with rapid adaptation for tracking sudden variations in noise power was proposed, and its performance was checked using both objective and subjective measures.
Iterative reconstruction of the missing CP is proposed and its performance on the FDE is evaluated in [14] again for SC communications.
In particular, a parallel state exploration algorithm using a two-queue structure for load balancing is proposed and its performance analysed at the hand of experimental studies.
