Adaptive estimation of discrete-time systems with nonlinear parameterization

DOI10.1016/S0005-1098(00)00106-0zbMath0964.93077OpenAlexW2049672766MaRDI QIDQ5926192

Anuradha M. Annaswamy, Fredrik P. Skantze, Aleksandar Kojić, Ai-Poh Loh

Publication date: 7 May 2001

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0005-1098(00)00106-0

zbMATH Keywords

adaptive filteringdiscrete-time dynamic systemsglobally stable estimationmin-max optimizationnonlinear parametrizationparameter convergence

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Signal detection and filtering (aspects of stochastic processes) (60G35)

Related Items (7)

Finite-model adaptive control using WLS-like algorithm ⋮ Adaptive control of continuous time systems with convex/concave parametrization ⋮ Nonfragile high‐gain observers for nonlinear systems with output uncertainty ⋮ A review of fuzzy logic and neural network based intelligent control design for discrete-time systems ⋮ Several algorithms for finite-model adaptive control. Partial answers to finite-model adaptive control problem ⋮ Finite-model adaptive control using an LS-like algorithm ⋮ Adaptive observers for nonlinearly parameterized class of nonlinear systems

Cites Work

• Adaptive control of continuous time systems with convex/concave parametrization
• Exponential convergence of adaptive identification and control algorithms
• A survey of models, analysis tools and compensation methods for the control of machines with friction
• Robust feedback stabilization of chemical reactors
• Adaptation in the presence of a general nonlinear parameterization: an error model approach
• Stability and robustness properties of a simple adaptive controller
• SOME REMARKS ON ADAPTIVE NEURO-FUZZY SYSTEMS
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