Sliding mode control of linear systems with mismatched uncertainties
Automatica (Journal of IFAC)
Brief paper: Adaptive sliding mode controller design based on T-S fuzzy system models
Automatica (Journal of IFAC)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Brief Designing robust sliding hyperplanes for parametric uncertain systems: a Riccati approach
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Design of large-scale time-delayed systems with dead-zone input via variable structure control
Automatica (Journal of IFAC)
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Based on the Lyapunov stability theorem, a model reference adaptive sliding mode control scheme is proposed in this paper for a class of multi-input multi-output (MIMO) dynamic systems with mismatched model uncertainties and external disturbances in order to solve robust tracking problems. In this method adaptive mechanisms are employed both in sliding surface function and control effort so that once the dynamics of controlled system enter the designated sliding surface, the trajectories of tracking errors can achieve asymptotic stability even if the mismatched perturbations exist. In addition, with adaptive mechanisms embedded in the proposed control scheme, the controller is able to adapt the unknown upper bound of perturbations without requiring the information of upper bound of perturbations. A numerical example is given for demonstrating the feasibility of the proposed control scheme.