Cascade Observers for Nonlinear Systems and Application to Nonlinear Output Feedback Control

Nonlinear Output Feedback H_inf Control for Polynomial Nonlinear Systems

In this paper, we propose a computational scheme of solving the output feedback H∞ control problem for a class of nonlinear systems with polynomial vector field. The output feedback control design problem will be decomposed into a state feedback and an output estimation problems. Resorting to higher order Lyapunov functions, two Hamilton-JacobianIsaacs (HJI) inequalities are first formulated as...

Observers for Nonlinear-Linear Cascade Systems

In this paper we begin by assuming that an observer with a corresponding quadratic-type Lyapunov function has been designed for a given nonlinear system. We then consider the problem that arises when the output of that nonlinear system is not directly available; instead, it acts as an input to a second, linear system from which a partialstate measurement is in turn available. We develop an obse...

On Output Feedback Nonlinear Model Predictive Control Using High Gain Observers for a Class of Systems

In recent years, nonlinear model predictive control schemes have been derived that guarantee stability of the closed loop under the assumption of full state information. However, only limited advances have been made with respect to output feedback in connection to nonlinear predictive control. Most of the existing approaches for output feedback nonlinear model predictive control do only guarant...

Static Output Feedback Control for Nonlinear Systems subject to Parametric and Nonlinear Uncertainties

This work addresses the design of static output feedback control of discrete-time nonlinear systems satisfying a local Lipschitz continuity condition with time-varying uncertainties. The controller has also a guaranteed disturbance attenuation level (H∞ performance). Thanks to the linearity of the proposed LMIs in both the admissible Lipschitz constant of the system and the disturbance attenuat...

Output feedback sampled-data control of nonlinear systems using high-gain observers