Shell Process Control Workshop covers the proceedings of a workshop of the same name, held in Houston, Texas on December 15, 1986. The said workshop seeks to improve the communication process between academic researchers, industrial researchers, and the engineering community in the field of process control, and in turn improve understanding of the nature of the control problems. The book covers topics such as design methodology based on the fundamental control; expert systems in process control and optimization; artificial intelligence; and adaptive control for processes. Also covered are topics such the approach of systems engineering to process modeling; modeling and control of dispersed phase systems; and advances in the use of the internal model control. The text is recommended for researchers and practitioners in the field of engineers who would like to know more about process control and modeling.

The Second Shell Process Control Workshop covers the proceedings of a workshop of the same name, held in Houston, Texas on December 12-16, 1988. The said workshop seeks to improve the communication process between academic researchers, industrial researchers, and the engineering community in the field of process control, and in turn improve understanding of the nature of the control problems. The book covers topics such as automatic tuning and adaptive control; an operator control theory approach to the shell standard control problem; discrete time-adaptive predictive control; and the designing of a control system. Also included are topics such as optimal control and model identification; fundamental process control; statistical process control; and interfaces with process control. The text is recommended for researchers and practitioners in the field of engineering who would like to know more about process control and modeling.

Fundamental Process Control focuses on the fundamental nature of process control, which includes an extensive discussion on control methodologies. The first seven chapters are devoted to the development of a complete control problem formulation that contains all the elements of practical importance. Due to the novelty of these ideas, no rigorous mathematical proofs yet exist for the assertions made, although they have been verified through simulation and experience in practice. The concepts discussed in Chapters 8 and 9 contain ideas for future developments in process control that will trigger the imagination of researchers in the fields covered. This book requires a thorough grounding in both classical and modern control theory in order to grasp the material presented. This book is therefore not for casual readers, but rather is directed at those who are currently, or those who desire to develop into, control design experts. Within the academic community, this book is ideal for the graduate level and for those academics pursuing fundamental research topics in process control.

Established in 1960, Advances in Heterocyclic Chemistry is the definitive serial in the area-one of great importance to organic chemists, polymer chemists, and many biological scientists. Written by established authorities in the field, the comprehensive reviews combine descriptive chemistry and mechanistic insight and yield an understanding of how the chemistry drives the properties.

This volume contains 40 papers which describe the recent developments in advanced control of chemical processes and related industries. The topics of adaptive control, model-based control and neural networks are covered by 3 survey papers. New adaptive, statistical, model-based control and artificial intelligence techniques and their applications are detailed in several papers. The problem of implementation of control algorithms on a digital computer is also considered.

Contains 60 research and survey papers on power systems - analysis, modelling simulation, control, optimization coordination, and multilever control. Basic industry systems - analysis, modelling simulation, and measurement filtering. Chemical systems - analysis, modelling simulation, control, robust and adaptive control, optimization coordination, and multilever control.