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This book presents practical guidelines for university research and administration. It uses a project management framework within a systems perspective to provide strategies for planning, scheduling, allocating resources, tracking, reporting, and control of university-based research projects and programs.
This book presents the mathematical foundation for building and implementing industrial control systems. It contains mathematically rigorous models and techniques for control systems in general with specific orientation toward industrial systems. Industrial control encompasses several types of control systems. This book covers some common elements of industrial control systems, including supervisory control and data acquisition systems, distributed control systems, and other generic control system configurations such as programmable logic controllers, which are often found in industrial operations and engineering infrastructure.
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