Exponential observers for nonlinear dynamic systems
نویسندگان
چکیده
منابع مشابه
Exponential Observers for Nonlinear Dynamic Systems 1
There is a basic assumption in using state feedback control, i.e., we assume that all the state variables are available for direct measurements. However, in many situations the complete state is not available; so it is necessary to obtain an estimate of the current state of the given system from measurements of its output. For this purpose, Luenberger (1964, 1966) showed how to construct an obs...
متن کاملGlobal Exponential Observers for Two Classes of Nonlinear Systems
This paper develops sufficient conditions for the existence of global exponential observers for two classes of nonlinear systems: (i) the class of systems with a globally asymptotically stable compact set, and (ii) the class of systems that evolve on an open set. In the first class, the derived continuous-time observer also leads to the construction of a robust global sampled-data exponential o...
متن کاملDesign of Direct Exponential Observers for Fault Detection of Nonlinear MEMS Tunable Capacitor
In this paper a novel method is proposed for construction of an exponential observer for nonlinear system. The presented method is based on direct solution of dynamic error without any linearzing of nonlinear terms. Necessary and sufficient conditions for construction of direct observer are presented. Stability of the observer is checked using Lyapunov theorem. Also the ability of this observer...
متن کاملAn Observers Based Fault Isolation Approach for Nonlinear Dynamic Systems
This paper puts forward a fault isolation method for nonlinear dynamic systems. The method based on nonlinear observers and using parameter partition. It fits many kinds of nonlinear dynamic systems and its fault isolation speed is satisfying.
متن کاملDynamic neural network-based robust observers for uncertain nonlinear systems
A dynamic neural network (DNN) based robust observer for uncertain nonlinear systems is developed. The observer structure consists of a DNN to estimate the system dynamics on-line, a dynamic filter to estimate the unmeasurable state and a sliding mode feedback term to account for modeling errors and exogenous disturbances. The observed states are proven to asymptotically converge to the system ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information and Control
سال: 1975
ISSN: 0019-9958
DOI: 10.1016/s0019-9958(75)90382-4