Design of proportional-integral observer for unknown input descriptor systems

Design of proportional-integral observer for unknown input descriptor systems

This note presents simple methods to design fulland reducedorder proportional integral observer for unknown inputs (UI) descriptor systems. Sufficient conditions for the existence of the observer are given and proven. The observer is solvable by any pole placement algorithm, it achieves a posteriori robustness state and UI estimation versus to time varying parameters and bounded nonlinear UI. A...

Sensor fault and unknown input estimation based on proportional integral observer applied to LPV descriptor systems

Reduced-order observer design for descriptor systems with unknown inputs

A new method for the design of reduced-order observers for descriptor systems with unknown inputs is presented. The approach is based on the generalized constrained Sylvester equation. Sufficient conditions for the existence of the observer are given.

Pmid Observer Design for Unknown Input Generalized Dynamical Systems

A new design approach of observer is proposed for generalized dynamical systems with unknown input disturbances. By introducing proportional gain, derivative gain and multiple-integral gains, the estimation error dynamics can be guaranteed to be internally proper stable and the disturbance can be de-coupled successfully. The system state and the input disturbance can be asymptotically estimated...

Unknown input observer design and analysis for networked control systems

The insertion of communication networks in the feedback loops of control systems is a defining feature of modern control systems. These systems are often subject to unknown inputs in a form of disturbances, perturbations, or attacks. The objective of this paper is to design and analyze an observer for networked dynamical systems with unknown inputs. The network effect can be viewed as either a ...