The simultaneous parameter and state estimation for a multi-input multi-output (MIMO) state
space system from a set of measurement data is taken into account in this paper. Firstly, in …

The relationship between the parameters and the states of state-space systems is nonlinear,
which makes the identification problems of state-space systems complicated. This paper …

This paper focuses on the joint parameter and state estimation issue for observer canonical
state-space systems with white noises in state equations and moving average noises in …

This paper considers the identification problem of bilinear systems with measurement noise
in the form of the moving average model. In particular, we present an interactive estimation …

This paper considers the combined parameter and state estimation problem of a bilinear
state space system with moving average noise. There are product terms of state variables …

This paper considers the state and parameter estimation problem of a state-delay system.
On the basis of the stochastic gradient algorithm (ie, the gradient based search estimation …

This paper investigates the recursive parameter and state estimation algorithms for a special
class of nonlinear systems (ie, bilinear state space systems). A state observer-based …

The parameter estimation for a class of single-input single-output (SISO) Hammerstein state
space systems is considered in this paper. The nonlinear block in the discussed system is …

How to use the observation data to build the mathematical models of time-delay systems
and how to estimate the parameters of the obtained models are important for studying the …

This paper presents three novel moving-horizon estimation (MHE) methods for discrete-time
partitioned linear systems, ie, systems decomposed into coupled subsystems with non …