“Class-Type” Identification-Based Internal Models in Multivariable Nonlinear Output Regulation

1 3 N ov 2 00 3 Nonlinear Internal Models for Output Regulation ∗

In this paper we show how nonlinear internal models can be effectively used in the design of output regulators for nonlinear systems. This result provides a significant enhancement of the non-equilibrium theory for output regulation, which we have presented in the recent paper " Limit Sets, Zero Dynamics, and Internal Models in the Problem of Nonlinear Output Regulation " .

Internal Models for Nonlinear Output Agreement and Optimal Flow Control

This paper studies the problem of output agreement in networks of nonlinear dynamical systems under time-varying disturbances. Necessary and sufficient conditions for output agreement are derived for the class of incrementally passive systems. Following this, it is shown that the optimal distribution problem in dynamic inventory systems with time-varying supply and demand can be cast as a speci...

Dynamic output feedback regulation for a class of nonlinear systems

In this paper results are presented on the problem of regulating nonlinear systems by output feedback, using Lyapunov-based techniques. In all the cases considered here, we ask that the part of the state which is not measured enter linearly in the equations. Sucient conditions for the global stabilization of the observed states via dynamic output feedback are obtained, assuming that such stabil...

Model-reference Output-feedback Sliding Mode Controller for a Class of Multivariable Nonlinear Systems

This paper proposes an output-feedback sliding mode control design for a class of uncertain multivariable plants with nonlinear disturbances. The approach used here is based on the control parameterization employed in model-reference adaptive control. The disturbances are allowed to be unmatched and to depend not only on the plant output but also on its unmeasurable state. A less restrictive co...

Output Feedback Sliding Mode Control for a Class of Uncertain Multivariable Systems with Unmatched Nonlinear Disturbances