Abstract
Smooth Non Linear High Gain Observers for a Class of Dynamical Systems
Highlights
The observation and estimation of unmeasured system states and unknown parameters of a dynamical system is an important problem in process control
In this work we propose a graphical representation of the dynamical system that includes its states and functions, and we use two types of operators to create solution paths in the graph
In this work we have proposed an approach to develop nonlinear observers for a class of nonlinear dynamical systems
Summary
The observation and estimation of unmeasured system states and unknown parameters of a dynamical system is an important problem in process control. Continuous functions (such us the set valued sign function used in classical sliding mode control), and discretization (which can introduce chattering in the steady-state response if the gains are large enough, even if all the functions are continuous, as long as the system dynamics includes high frequency components with respect to the sampling time τ ) Another issue that might impact the upper bounds for high gain observers is the presence of noise in output signals, to which the observer may be highly sensitive [26], specially to output measurement noise for higher dimensional systems having nonlinearities with large Lipschitz constant. The observability of system (1) depends on the expressions of its functions, that is, on the properties of the maps between model variables defined by fi and gi
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
