Improvements in process control, such as defined-accuracy instrumentation structures and computationally intelligent process modeling, enable advanced capabilities such as molecular manufacturing. High Performance Instrumentation and Automation demonstrates how systematizing the design of instrumentation and automation leads to higher performance through more homogeneous systems, which are frequently assisted by rule-based, fuzzy logic, and neural network process descriptions.

The book illustrates generic common core process-to-control concurrent engineering linkages applied to a variety of laboratory and industry automation systems. It outlines:

Product properties translated into realizable process variables

Axiomatic decoupling of subprocess variables for improved robustness

Production planner model-driven goal state execution

In situ sensor and control structures for attenuating process disorder

Apparatus tolerance design for minimizing process variabilities

Production planner remodeling based on product features measurement for quality advancement

Coverage also includes multisensor data fusion, high-performance computer I/O design guided by comprehensive error modeling, multiple sensor algorithmic error propagation, robotic axes volumetric accuracy, quantitative video digitization and reconstruction evaluation, and in situ process measurement methods.

High Performance Instrumentation and Automation reflects the experience of engineer and author Patrick Garrett, including Co-Principal investigator for an Air Force intelligent manufacturing initiative, providing you with advanced performance enhancements to incorporate into your automation enterprise.

This book is the first to integrate error-modeled sensor instrumentation and concurrent engineering based automation system design to enable molecular manufacturing process control. The author includes multiple real-world industrial and laboratory examples such as chemical, materials, and aerospace manufacturing systems, semiconductor processing, structural composite manufacturing, superconductor production, and steel annealing. These design methodologies can be applied universally across all process-based industries and laboratories, making this an ideal reference for practitioners. Students will also benefit from the cases, examples, figures, and tables provided in the text.