The author attempts to portray the ideas and general principles of the theory of materials
within the framework of phenomenological continuum mechanics. It is a well-written rigorous …

Many industrial processes belong to distributed parameter systems (DPS) that have strong
spatial–temporal dynamics. Modeling of DPS is difficult but essential to simulation, control …

Low-order, explicit models of lithium ion cells are critical for real-time battery management
system (BMS) applications. This paper presents a seventh-order, electrolyte enhanced …

This monograph provides insight and fundamental understanding into the feedback control
of nonlinear and hybrid process systems. It presents state-of-the-art methods for the …

In this paper, we consider the Turing–Hopf bifurcation arising from the reaction–diffusion
equations. It is a degenerate case and where the characteristic equation has a pair of simple …

Dynamic mode decomposition with control (DMDc) is a modal decomposition method that
extracts dynamically relevant spatial structures disambiguating between the underlying …

This paper presents a boundary control formulation for distributed parameter systems
described by partial differential equations (PDEs) and whose output is given by a spatial …

This article proposes a rigorous and practical methodology for the derivation of accurate
finite-dimensional approximations and the synthesis of non-linear output feedback …

This paper develops a general framework for the analysis and control of parabolic partial
differential equations (PDE) systems with input constraints. Initially, Galerkin's method is …

A stochastic model for chemical reactions is presented, which represents the population of
various species involved in a chemical reaction as the continuous state of a polynomial …