Particle swarm optimisers for the designing of parametric adjustment laws in discrete-time adaptive systems

DOI10.1080/00207179.2014.930932zbMath1308.93114OpenAlexW2051850694MaRDI QIDQ2938630

Manuel A. Duarte-Mermoud, Rodrigo H. Ordóñez-Hurtado

Publication date: 14 January 2015

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10533/133029

zbMATH Keywords

error modelsadjustment lawsdiscrete-time adaptive systemsparticle swarm optimisers

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55) Decentralized systems (93A14)

Uses Software

• PSO Toolbox

Cites Work

• Unnamed Item
• Model-free adaptive control optimization using a chaotic particle swarm approach
• A new approach to adaptive control using multiple models
• A method for determining the non-existence of a common quadratic Lyapunov function for switched linear systems based on particle swarm optimisation
• On necessary assumptions in discrete-time model reference adaptive control
• Adaptive Control Tutorial
• Combined direct and indirect approach to adaptive control
• Discrete-time multivariable adaptive control
• Discrete-time combined model reference adaptive control
• Adaptive Control Design and Analysis
• Error models with parameter constraints
• Model Reference Adaptive Control Using Simultaneous Probing, Estimation, and Control
• Multiple Model Adaptive Mixing Control: The Discrete-Time Case
• Applying Particle Swarm Optimization to Adaptive Controller
• Finding common quadratic Lyapunov functions for switched linear systems using particle swarm optimisation

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