Thermal parameter estimation using recursive identification
نویسندگان
چکیده
منابع مشابه
Thermal Model Parameter Estimation for HVAC Facility using Recursive Least Square Method
In this paper, the parameter estimation of thermal dynamic discrete-time system for heating, ventilating and air conditioning (HVAC) is studied using recursive least square method. Parameters are estimated by using recursive least square method. Thermodynamic model of indoor test bed is formulated by outdoor temperature, HVAC power consumption, and thermal noise and estimated thermal dynamic pa...
متن کاملRecursive Parameter Estimation: Asymptotic expansion
This paper is concerned with the asymptotic behaviour of estimation procedures which are recursive in the sense that each successive estimator is obtained from the previous one by a simple adjustment. The results of the paper can be used to determine the form of the recursive procedure which is expected to have the same asymptotic properties as the corresponding nonrecursive one defined as a so...
متن کاملOn-line Parameter Interval Estimation Using Recursive Least Squares
A bank of recursive least-squares (RLS) estimators is proposed for the estimation of the uncertainty intervals of the parameters of an equation error model (or RLS model) where the equation error is assumed to lie between known upper and lower bounds. It is shown that the off-line least-squares method gives the maximum and minimum parameter values that could have produced the recorded input-out...
متن کاملRecursive Bayesian state and parameter estimation using polynomial chaos theory
This paper joins polynomial chaos theory with Bayesian estimation to recursively estimate the states and unknown parameters of asymptotically stable, linear, time invariant, state-space systems. This paper studies the proposed algorithms from a pole/zero locations perspective. The estimator has fixed pole locations that are independent of the estimation algorithm (and the estimated variables). ...
متن کاملRecursive parameter estimation for categorical process control
Statistical process adjustment (SPA) is utilised prevalently in novel manufacturing scenarios. When quality characteristics rather than internal process variables are inspected for the purpose of quality control, data with different resolutions may be collected. This paper proposes a Bayesian framework for parameter estimation when only categorical observations are available. The proposed metho...
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 Power Electronics
سال: 1991
ISSN: 0885-8993,1941-0107
DOI: 10.1109/63.76809