Optimal Prediction and Update for Box Set-Membership Filter
نویسندگان
چکیده
منابع مشابه
Nonlinear Set Membership prediction of river flow
In the present paper, a Nonlinear Set Membership prediction method previously proposed by the authors is applied to a river flow prediction problem. The method does not require the choice of the functional form of the model used for prediction, but assumes a bound on the gradient norm of the regression function defining the model. The method is used for the univariate prediction of the time ser...
متن کاملA Family of Set-membership Affine Projection Adaptive Filter Algorithms
In this paper, we extend the set-membership (SM) adaptive filtering approach to the various affine projection (AP) adaptive filter algorithms to propose the computationally efficient algorithms. Based on this, the SM-APA, SM selective regressor APA (SM-SR-APA), SM dynamic selection APA (SM-DS-APA) and SM selective partial update APA (SM-SPU-APA) are established. The SM-SR-APA reduces complexity...
متن کاملEvaluation of Optimal Fuzzy Membership Function for Wind Speed Forecasting
In this paper, a new approach is proposed in order to select an optimal membership function for inputs of wind speed prediction system. Then using a fuzzy method and the stochastic characteristics of wind speed in the previous year, the wind speed modeling is performed and the wind speed for the future year will be predicted. In this proposed method, the average and the standard deviation of in...
متن کاملSet-Membership State Estimation with Optimal Bounding Ellipsoids1
| This paper presents a set-membership state estimation scheme for linear systems with unknown but bounded inputs and noise. The approach is to compute 100% conndence regions for the state vector in the form of optimal ellipsoidal sets in the state-space. The proposed algorithm entails greatly reduced computational complexity in comparison to other state estimation schemes (e.g., Schweppe's alg...
متن کاملSet-membership improved normalized subband adaptive filter algorithms for acoustic echo cancellation
In order to improve the performances of the recently-presented improved normalized subband adaptive filter (INSAF) algorithm for highly noisy system, this paper proposes a set-membership version of the INSAF algorithm (SM-INSAF) by exploiting the concept of the set-membership filtering. Apart from obtaining lower steady-state error under the same convergence rate, the proposed algorithm signifi...
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 Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2904518