Limiting State Estimation of Switched Interval Systems with Metzler-Takagi-Sugeno Models
نویسندگان
چکیده
The paper deals with interval observer design for fuzzy switched positive systems. systems are represented by the Takagi-Sugeno models, premise variables depending on a measurable part of state vector. Stability conditions proposed structure formulated via linear matrix inequalities to ensure nonnegative system estimation. method allows compute lower and upper bounds under assumption that disturbance bounded. properties approach illustrated in numerical example.
منابع مشابه
Delay-dependent robust asymptotic state estimation of Takagi-Sugeno fuzzy Hopfield neural networks with mixed interval time-varying delays
This paper investigates delay-dependent robust asymptotic state estimation of fuzzy neural networks with mixed interval time-varying delay. In this paper, the Takagi–Sugeno (T–S) fuzzy model representation is extended to the robust state estimation of Hopfield neural networks with mixed interval time-varying delays. The main purpose is to estimate the neuron states, through available output mea...
متن کاملActuator Fault estimation with pole placement constraints for Takagi-Sugeno fuzzy systems with interval time varying delay: An LMI approach
Abstract: This paper adresses the problem of fault estimation for continuous-time TakagiSugeno (T-S) fuzzy systems with interval time varying delay. The approach is based on a fuzzy Adaptive Fault Diagnostic Observer (AFDO). By considering an appropriate Lyapunov function, less conservative linear-matrix-inequality (LMI) conditions for the existence of the fault estimator are proposed. Furtherm...
متن کاملObserver design for nonlinear systems represented by Takagi-Sugeno models
In this paper, the problem of synthesis of a multiple observer for a class of uncertain nonlinear system represented by a Takagi-Sugeno multiple model is studied. The measure’s uncertainties are considered as unknown outputs. To conceive the observer a mathematical transformation is considered to conceive an augmented system in which the unknown output appear as an unknown input. Convergence co...
متن کاملAdmissibility analysis for discrete-time singular systems with time-varying delays by adopting the state-space Takagi-Sugeno fuzzy model
This paper is pertained with the problem of admissibility analysis of uncertain discrete-time nonlinear singular systems by adopting the state-space Takagi-Sugeno fuzzy model with time-delays and norm-bounded parameter uncertainties. Lyapunov Krasovskii functionals are constructed to obtain delay-dependent stability condition in terms of linear matrix inequalities, which is dependent on the low...
متن کاملState and Parameter Estimation for Time-varying Systems: a Takagi-Sugeno Approach
The contribution of this paper is to propose a systematic approach to the observer design for linear time-varying systems. It is based on the exact rewriting of the original time-varying system into a polytopic linear model (PLM). This transformation uses the sector nonlinearity approach based on the convex polytopic transformation. Then a joint state and parameter observer can be designed for ...
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: System Theory, Control and Computing Journal
سال: 2022
ISSN: ['2668-2966', '2810-4099']
DOI: https://doi.org/10.52846/stccj.2022.2.2.41