On a nonlinear multivariable servomechanism problem
Automatica (Journal of IFAC)
Robust servomechanism output feedback controllers for feedback linearizable systems
Automatica (Journal of IFAC)
Tracking controllers for systems linear in the unmeasured states
Automatica (Journal of IFAC)
Brief Global output regulation of uncertain nonlinear systems with exogenous signals
Automatica (Journal of IFAC)
Technical communique: Asymptotic rejection of unknown sinusoidal disturbances in nonlinear systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Adaptive rejection of stochastic and deterministic sinusoidal disturbances with unknown frequency
ACC'09 Proceedings of the 2009 conference on American Control Conference
Automatica (Journal of IFAC)
Brief paper: A robust adaptive feedforward control in repetitive control design for linear systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Robust design of nonlinear internal models without adaptation
Automatica (Journal of IFAC)
Nonlinear output regulation with adaptive conditional servocompensator
Automatica (Journal of IFAC)
Hi-index | 22.17 |
This paper deals with global stabilization and disturbance suppression of a class of nonlinear systems using output feedback. The disturbances generated from a unknown linear exosystem are completely compensated. The order of the exosystem is assumed known and the eigenvalues are distinct. No other assumptions are needed in the control design. This means that the proposed control design is able to completely compensate the disturbances without knowing their amplitudes, frequencies and phases, as long as the number of different frequency components in the disturbances is known. A new formulation of state estimation is introduced to ensure the global stabilization and complete disturbance suppression. Adaptive control technique is used to design an adaptive internal model based on a recently introduced formulation of unknown exosystems and the parameters in the adaptive internal model converge to the actual values, from which the unknown disturbance frequencies can be calculated. In the proposed control design, a number of control coefficients are made adaptive so that the result is global with respect to unknown frequencies in the disturbances.