3 papers
eess.SY2026
Fast Convergence and Robustness for Two-Layered Forgetting Recursive Least Square under Finite Excitation
Satoshi Tsuruhara, Kazuhisa Ito
Under nonpersistent excitation (non-PE) conditions, conventional methods such as exponential forgetting (EF) or directional forgetting (DF) recursive least squares (RLS) that rely…
eess.SY2025
Discrete-time Two-Layered Forgetting RLS Identification under Finite Excitation
Satoshi Tsuruhara, Kazuhisa Ito
In recent years, adaptive identification methods that can achieve the true value convergence of parameters without requiring persistent excitation (PE) have been widely studied, an…
eess.SY2025
Discrete-time Indirect Adaptive Control for Systems with Disturbances via Directional Forgetting: Concurrent Learning Approach
Satoshi Tsuruhara, Kazuhisa Ito
Recently, adaptive control systems with relaxed persistent excitation (PE) conditions have been proposed to guarantee true parameter convergence and improve the transient response.…