This paper introduces powerful static input transformations which transform the original
system (process) into a transformed system which is easier to control. The transformed …

Field theory is a more or less coherent approach in the social sciences whose essence is
the explanation of regularities in individual action by recourse to position vis-à-vis others …

A hybrid neural network‐first principles modeling scheme is developed and used to model a
fedbatch bioreactor. The hybrid model combines a partial first principles model, which …

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 …

Flat systems, an important subclass of nonlinear control systems introduced via differential-
algebraic methods, are defined in a differential geometric framework. We utilize the infinite …

This is the first part of a review paper for geometric methods in nonlinear process control. We
review here themathematical and systems theory background, including linear results, tools …

In this paper, we propose a novel framework for integrating scheduling and nonlinear control
of continuous processes. We introduce the time scale-bridging model (SBM) as an explicit …

Nonlinear controllers based on exact linearization are designed and evaluated for
continuous fermenters. The dilution rate and feed substrate concentration are considered as …

An internal model control (IMC) strategy for nonlinear single‐input single‐output systems is
proposed. The controller is designed to provide nominal performance, and a nonlinear filter …

Department of Chemical Engineering, The University of Michigan, Ann Arbor, Michigan
48109 pH control problems are characterized bytheir severe nonlinearity as reflected in the …