Adaptive control of linear multivariable systems using dynamic regressor extension and mixing estimators: removing the high-frequency gain assumptions

DOI10.1016/J.AUTOMATICA.2019.108589zbMath1429.93184OpenAlexW2975225728MaRDI QIDQ2280978

Romeo S. Ortega, Dmitry N. Gerasimov, Vladimir O. Nikiforov, Nikita Barabanov

Publication date: 19 December 2019

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2019.108589

zbMATH Keywords

parameter estimationmultivariable systemsmodel reference adaptive control

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Multivariable systems, multidimensional control systems (93C35) Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)

Related Items (10)

Adaptive state estimation of state-affine systems with unknown time-varying parameters ⋮ Partial-state feedback multivariable MRAC and reduced-order designs ⋮ Generalized parameter estimation-based observers: application to power systems and chemical-biological reactors ⋮ State observation of LTV systems with delayed measurements: a parameter estimation-based approach with fixed convergence time ⋮ Fixed-time composite neural learning control of state-constrained nonlinear uncertain systems ⋮ On key properties of the Lion's and Kreisselmeier's adaptation algorithms ⋮ An algebraic, distributed state observer for continuous- and discrete-time linear time-invariant systems with time-varying communication graphs ⋮ Finite-time estimator with enhanced robustness and transient performance applied to adaptive problems ⋮ Predefined-time parameter estimation via modified dynamic regressor extension and mixing ⋮ Necessary and sufficient conditions for convergence of DREM-based estimators with applications in adaptive control

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Multivariable adaptive control: a survey
• Some remarks on a conjecture in parameter adaptive control
• Linear, time-varying approximations to nonlinear dynamical systems. With applications in control and optimization
• On dynamic regressor extension and mixing parameter estimators: two Luenberger observers interpretations
• Relaxing the high-frequency gain sign assumption in direct model reference adaptive control
• Nonlinear and adaptive control with applications
• Immersion and invariance adaptive control of linear multivariable systems
• Multivariable MRAC Design Without Gain Symmetry Conditions Using a Stabilizing Multiplier
• On Morse's new adaptive controller: parameter convergence and transient performance
• Adaptation Is Unnecessary in L₁-Adaptive Control: What Makes an Adaptive Controller "Adaptive"?
• Richness and excitation on an interval-with application to continuous-time adaptive control
• Adaptive observers with exponential rate of convergence
• Identification of photovoltaic arrays' maximum power extraction point via dynamic regressor extension and mixing
• A comparative study of normalized and unnormalized tuning errors in parameter adaptive control
• Multivariable Adaptive Control Using High-Frequency Gain Matrix Factorization
• Performance Enhancement of Parameter Estimators via Dynamic Regressor Extension and Mixing

This page was built for publication: Adaptive control of linear multivariable systems using dynamic regressor extension and mixing estimators: removing the high-frequency gain assumptions