In this paper, the problem of robust H∞ control is investigated for sampled-data systems with
probabilistic sampling. The parameter uncertainties are time-varying norm-bounded and …

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 …

The book presents a significant expansion in depth and breadth of the previous edition. It
includes substantially more numerical illustrations and copious supporting MATLAB code …

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 …

The motivation for this article comes from our development of soft sensors for chemical
processes where several challenges are encountered. For example, quality variables in …

In this paper, the problem of controlling MIMO plants where the pattern of measurements
sampling and control actions delivering is not regular is tackled. Multirate control, time delay …

Static analysis is a tremendous help when trying to find faults in complex software. Writing
multi-threaded programs is difficult, because the thread scheduling increases the program …

The problem of robust sampled-data control for uncertain dynamic systems in the presence
of missing data has been investigated. By using stochastic variables with a Bernoulli …

This study proposes a data-driven approach for controlling a dual-rate sampled-data system
using the lifting technique, where the sampling interval of the plant output is longer than the …

Production-inventory systems are complex due to their multitime-scale, switching, and
random fluctuation nature. How to reduce its bullwhip effects has been a main challenge …