In the past decades, process engineers are facing increasingly more data analytics
challenges and having difficulties obtaining valuable information from a wealth of process …

A remarkable example of how to quantitatively explain the nonlinear performance of many
phenomena in physics and engineering is the Van der Pol oscillator. Therefore, the current …

Most of classical adaptive laws used in adaptive control have been developed based on the
gradient descent algorithm to minimize the control error. Hence, the sluggish convergence of …

An identification method is proposed for errors-in-variables (EIV) ARX model with input time-
varying time-delays. A Markov chain is used to model varying time delays whose parameters …

An adaptive online parameter identification is proposed for linear single-input-single-output
(SISO) time-delay systems to simultaneously estimate the unknown time-delay and other …

This paper deals with on-line identification of continuous-time systems with structured
entries. Such entries, which may consist of inputs, perturbations or piecewise polynomial …

This paper proposes a technique to identify nonlinear dynamical systems with time delay.
The sparse optimization algorithm is extended to nonlinear systems with time delay. The …

This study addresses an experimental investigation of a novel modified Smith Predictor (SP)
based fractional fuzzy gain-scheduled control scheme in control of a time-delayed thermal …

This paper deals with delay identifiability and delay estimation for a class of nonlinear time-
delay systems. The theory of non-commutative rings is used to analyze the identifiability. In …

Using the theory of non-commutative rings, this paper studies the delay identification of
nonlinear time-delay systems with unknown inputs. A sufficient condition is given in order to …