The sampled-data systems have been extensively applied to practical engineering because
the digital signal shows great advantages in data transmission, storage and exchange. As a …

Two identification algorithms, an iterative least-squares and a recursive least-squares, are
developed for Hammerstein nonlinear systems with memoryless nonlinear blocks and linear …

It is well-known that the stochastic gradient (SG) identification algorithm has poor
convergence rate. In order to improve the convergence rate, we extend the SG algorithm …

In this paper, we use a hierarchical identification principle to study identification problems for
multivariable discrete-time systems. We propose a hierarchical gradient iterative algorithm …

This paper is motivated by practical consideration that the input updating and output
sampling rates are often limited due to sensor and actuator speed constraints. In particular …

This paper on performance analysis of parameter estimation is motivated by a practical
consideration that the data length is finite. In particular, for time-varying systems, we study …

This paper is concerned with the variance‐constrained state estimation problem for a class
of networked multi‐rate systems (NMSs) with network‐induced probabilistic sensor failures …

This paper considers identification problems of multirate multi-input sampled-data systems.
Using the continuous-time system discretization technique with zero-order holds, the …

This paper discusses minimum variance control (MVC) design and control performance
assessment based on the MVC-benchmark for multirate systems. In particular, a dual-rate …

This paper presents a new control method for networked control systems. Motivated by a
more efficient use of the packet structure, multipoint packets are used to reduce network …