Adaptive discrete-time sliding-mode control of nonlinear systems described by Wiener models

DOI10.1080/00207179.2015.1088964zbMath1332.93079OpenAlexW1808616496MaRDI QIDQ2792749

Najib Essounbouli, Abdelaziz Hamzaoui, Houda Salhi, Samira Kamoun

Publication date: 14 March 2016

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

Full work available at URL: https://doi.org/10.1080/00207179.2015.1088964

zbMATH Keywords

convergence analysisnonlinear systemsWiener modelrecursive parametric estimation algorithmdiscrete-time sliding-mode controlpH neutralisation process

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55) Variable structure systems (93B12)

Related Items (8)

Combined parameter and state estimation algorithms for multivariable nonlinear systems using MIMO Wiener models ⋮ Variable knot-based spline approximation recursive Bayesian algorithm for the identification of Wiener systems with process noise ⋮ A robust adaptive control method for Wiener nonlinear systems ⋮ Identification of Wiener model with internal noise using a cubic spline approximation-Bayesian composite quantile regression algorithm ⋮ New design methodology for adaptive switching gain based discrete-time sliding mode control ⋮ Robust indirect adaptive sliding model control for Wiener nonlinear systems ⋮ Robust discrete-time sliding mode control for tracking and model following of uncertain nonlinear systems ⋮ Recursive least-squares algorithm for a characteristic model with coloured noise by means of the data filtering technique

Cites Work

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• A new discrete-time sliding-mode control with time-varying gain and neural identification
• Dynamical robust adaptive tracking for uncertain nonlinear systems
• Identification of Wiener-type nonlinear systems in a noisy environment
• Tracking control of nonlinear systems with disturbance attenuation
• Nonlinear control design for a Hammerstein model system

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