Browse Items (2 total)
Sort by:
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Power system state estimation using teaching learning-based optimization algorithm
The main goal of this paper is to formulate power system state estimation (SE) problem as a constrained nonlinear programming problem with various constraints and boundary limits on the state variables. SE forms the heart of entire real time control…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Maximum likelihood estimation-assisted ASVSF through state covariance-based 2D SLAM algorithm
The smooth variable structure filter (ASVSF) has been relatively considered as a new
robust predictor-corrector method for estimating the state. In order to effectively utilize
it, an SVSF requires the accurate system model, and exact prior…
robust predictor-corrector method for estimating the state. In order to effectively utilize
it, an SVSF requires the accurate system model, and exact prior…