High Gain Observer for Structured Multi-Output Nonlinear Systems

Robust Control Approach for Input-Output Linearizable Nonlinear Systems Using High-Gain Disturbance Observer

This paper addresses a robust control approach for a class of input-output linearizable nonlinear systems with uncertainties and modeling errors considered as unknown inputs. As known, the exact feedback linearization method can be applied to control input-output linearizable nonlinear systems, if all the states are available and modeling errors are negligible. The mentioned two prerequisites d...

High Gain Disturbance Observer-Based Control for Nonlinear Affine Systems

This paper proposes a high gain disturbance observer based control approach for nonlinear systems. Compared with previous works, it can admit a much larger class of disturbances produced by nonlinear exo‐systems. Our approach will follow the framework of the two‐stage design procedure, which separates the disturbance observer design from the controller desi...

Nonlinear disturbance observer-based control for multi-input multi-output nonlinear systems subject to mismatching condition

High-gain observer design for multi-output systems: Transformation to a canonical form by dynamic output shaping

In this paper we consider the observer design problem for a class of observable linear systems perturbed by nonlinear, time-varying terms. Our design methodology is based on a canonical form, similar to canonical forms used elsewhere in the literature, that allows the nonlinearities to be dominated using high gain. We show that linear state and output transformations to this canonical form exis...

High-gain nonlinear observer for simple genetic regulation process

High-gain nonlinear observers occur in the nonlinear automatic control theory and are in standard usage in chemical engineering processes. We apply such a type of analysis in the context of a very simple one-gene regulation circuit. In general, an observer combines an analytical differential-equation-based model with partial measurement of the system in order to estimate the non-measured state ...