Analysis of stochastic gradient tracking of time-varying polynomial Wiener systems
نویسندگان
چکیده
منابع مشابه
Analysis of stochastic gradient tracking of time-varying polynomial Wiener systems
This paper presents analytical and Monte Carlo results for a stochastic gradient adaptive scheme that tracks a time-varying polynomial Wiener system [i.e., a linear time-invariant (LTI) filter with memory followed by a time-varying memoryless polynomial nonlinearity]. The adaptive scheme consists of two phases: 1) estimation of the LTI memory using the LMS algorithm and 2) tracking the time-var...
متن کاملExtended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
An extended stochastic gradient algorithm is developed to estimate the parameters of Hammerstein–Wiener ARMAX models. The basic idea is to replace the unmeasurable noise terms in the information vector of the pseudo-linear regression identification model with the corresponding noise estimates which are computed by the obtained parameter estimates. The obtained parameter estimates of the identif...
متن کاملIdentification of Time Varying Stochastic Systems
1 Abstract This paper presents and discusses the simulation of time stochastic ARMA systems and the development of an oo line identiication based on a prediction error method combined with exponential forgetting. The simulation involves diierent stages, starting with the simulation of the Gaussian white noise as an input to the original system and, the simulation with a combined signal and Gaus...
متن کاملThe Hyper-Wiener Polynomial of Graphs
The distance $d(u,v)$ between two vertices $u$ and $v$ of a graph $G$ is equal to the length of a shortest path that connects $u$ and $v$. Define $WW(G,x) = 1/2sum_{{ a,b } subseteq V(G)}x^{d(a,b) + d^2(a,b)}$, where $d(G)$ is the greatest distance between any two vertices. In this paper the hyper-Wiener polynomials of the Cartesian product, composition, join and disjunction of graphs are compu...
متن کاملADAPTIVE FUZZY OUTPUT FEEDBACK TRACKING CONTROL FOR A CLASS OF NONLINEAR TIME-VARYING DELAY SYSTEMS WITH UNKNOWN BACKLASH-LIKE HYSTERESIS
This paper considers the problem of adaptive output feedback tracking control for a class of nonstrict-feedback nonlinear systems with unknown time-varying delays and unknown backlash-like hysteresis. Fuzzy logic systems are used to estimate the unknown nonlinear functions. Based on the Lyapunov–Krasovskii method, the control scheme is constructed by using the backstepping and adaptive techniqu...
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: IEEE Transactions on Signal Processing
سال: 2000
ISSN: 1053-587X
DOI: 10.1109/78.845925