As an emerging non-parametric modeling technique, the methodology of support vector regression blazed a new trail in identifying complex nonlinear systems with superior generalization capability and sparsity. Nevertheless, the conventional quadratic programming support vector regression can easily lead to representation redundancy and expensive computational cost. In this paper, by using the no...

Transport barriers are ubiquitous generators of coherent patterns in complex dynamical systems. In recent years, significant advances have been made on the mathematics and computations of such barriers in temporally aperiodic flows. This special session surveys recent analytic and computational techniques for the identification of generalized transport barriers in dynamical systems, and reviews...

Identification of dynamics underlying biochemical pathways of interest in oncology is a primary goal in current systems biology. Understanding structures and interactions that govern the evolution of such systems is believed to be a cornerstone in this research. Systems theory and systems identification theory are primary resources for this task since they both provide a self consistent framewo...