This paper provides the theoretical foundation for the modeling, analysis and control of
integrated chemical process networks, or, in short,“process networks.” The dynamics of …

Control of spatially distributed systems is a challenging problem because of their complex
nature, nonlinearity, and generally high order. The lack of accurate and computationally …

A quasi-decentralized state estimation and control architecture for plants with limited state
measurements and distributed, interconnected units that exchange information over a …

It is highly desirable to have a statistical process monitoring (SPM) system that detects the
abnormalities in process operations quickly with as few missed and false alarms as possible …

An adaptive agent-based hierarchical framework for fault type classification and diagnosis in
continuous chemical processes is presented. Classification techniques such as Fisher's …

An adaptive hierarchical framework for process supervision and fault‐tolerant control with
agent‐based systems is presented. The framework consists of modules for fault detection …

Large-scale spatially distributed systems provide a unique and difficult control challenge
because of their nonlinearity, spatialdistribution and generally high order. The control …

Control of spatially distributed systems is a challenging problem because of their complex
nature, nonlinearity, and generally high order. Agent-based control structures provide a …

Agent-based control structures provide flexible and emergent solutions to complex nonlinear
problems benefiting from properties such as modularity, adaptability, scalability and …

In this paper, we show that heterogeneous networks can be configured and reconfigured to
operate in flexible spatial patterns. The concept is demonstrated by using a square grid of …