Timevarying
SSRLSWAM is a combination of SSRLS and stochastic gradient method .It exploits the concept of forgetting factor d?T¬ that may be required due to model uncertainty, presence of unknown external disturbances, time-varying nature of observed signal or Non-stationary behaviour of observation noise.
Platforms: Matlab
License: Freeware | Size: 10 KB | Download (44): Steady State RLS with Adaptive memory Download |
A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with respect to its parameters and to initial population selection. Detailed logging of...
Platforms: Matlab
License: Freeware | Size: 10 KB | Download (40): Particle Swarm Optimization (PSO) algorithm Download |
The Kalman filter is a feedback system. A Simulink model is developed to view this more clearly. From the feedback blocks, it is clear the normal Kalman filter is a linear time-variant system. By replacing the time-varying filter gain with its steady-state values, a simple linear time-invariant...
Platforms: Matlab
License: Freeware | Size: 10 KB | Download (44): Learning the Kalman Filter: A Feedback Perspective Download |