Explicit convergence relations for a class of discrete LTV systems and its application to performance analysis of deterministic learning
From MaRDI portal
Publication:6494999
DOI10.1016/J.JFRANKLIN.2024.106648MaRDI QIDQ6494999
Weiming Wu, Jingtao Hu, Jinyuan Zhang, Cong Wang
Publication date: 30 April 2024
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
adaptive controlperformance analysisdeterministic learningdiscrete linear time-varying systemexplicit convergence relations
Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Persistency of excitation and performance of deterministic learning
- Explicit convergence rates for MRAC-type systems
- Constructions of strict Lyapunov functions
- Persistency of excitation, sufficient richness and parameter convergence in discrete time adaptive control
- Uniform exponential stability of linear time-varying systems: revisited.
- Strict Lyapunov functions for time-varying systems
- An alternative converse Lyapunov theorem for discrete-time systems
- An equation for continuous chaos
- Dissipative dynamical systems. I: General theory
- Strong Lyapunov functions for two classical problems in adaptive control
- Global adaptive linear control of the permanent-magnet synchronous motor
- Exponential stability of linear equations arising in adaptive identification
- On Asymptotic Stability of Discrete-Time Linear Time-Varying Systems
- Persistency of Excitation in Identification Using Radial Basis Function Approximants
- Discrete-time Lyapunov-based small-gain theorem for parameterized interconnected ISS systems
This page was built for publication: Explicit convergence relations for a class of discrete LTV systems and its application to performance analysis of deterministic learning