In this paper we propose a method, based on a Set Membership approach, for the estimation of nonlinear regressions models. At the contrary of most of the existing identi...cation approaches, the method presented in this paper does not need any assumption about the functional form of the model to be identi...ed, but uses only some prior information on its regularity and on the size of noise corr...

The seminal work on set membership state estimation [1] F. C. Schweppe. Recursive state estimation: unknown but bounded errors and system inputs. [2] D. P. Bertsekas and I. B. Rhodes. Recursive state estimation for a set-membership description of uncertainty.

Channel estimation in communication systems is one of the most important issues that can reduce the error rate of sending and receiving information as much as possible. In this regard, estimation of OFDM-based wireless channels using known sub-carriers as pilot is of particular importance in frequency domain. In this paper, channel estimation under short cyclic prefix (CP) in OFDM system is con...

This paper considers the state estimation problem for nonlinear dynamic systems with unknown but bounded noises. Set membership filter (SMF) is a popular algorithm to solve this problem. In set setting, we investigate where requires be constrained by linear or equality. We propose consensus alternating direction method of multipliers (ADMM) based SMF systems. To deal difficulty nonlinearity, in...