Digital Computer Applications to Process Control presents the developments in the application of digital computers to the control of technical processes. This book discusses the control principles and includes as well direct feedback and feed forward control as monitoring and optimization of technical processes. Organized into five parts encompassing 77 chapters, this book begins with an overview of the two categories of microprocessor systems. This text then discusses the concept of a sensor controlled robot that adapts to any task, assures product quality, and eliminates machine tending labor. Other chapters consider the ergonomic adaptation of the human operator's working conditions to his abilities. This book discusses as well the self-tuning regulator for liquid level in the acetic acid evaporator and its actual performance in production. The final chapter deals with algebraic method for deadbeat control of multivariable linear time-invariant continuous systems. This book is a valuable resource for electrical and control engineers.

This exciting new volume covers the most up-to-date advances, theories, and practical applications for non-motorized transportation (NMT) systems, geographic information system-based transportation systems, and signal processing for urban transportation systems. This book will allow readers to readers to identify traffic and transport problems in cities and to study mass transportation systems, and modes of transportation and their characteristics, focusing on transportation infrastructure which includes green bays, control stations, mitigation buildings, separator lanes, and safety islands. From this, readers will be able to study urban public transport systems and gain some background into intelligent transportation and telemetric systems, including techniques for designing transport telemetric systems and applying them to urban transportation. Applications include advanced traffic management systems, advanced traveler information systems, advanced vehicle control systems, commercial vehicle operational management, advanced public transportation systems, electronic payment systems, advanced urban transportation, security and safety systems, and urban traffic control. From this, an artificial Intelligence-based transportation system design using genetic algorithms and neural networks is discussed, to show applications in designs. These models and their studies are further extended in signal processing systems and geographic information systems (GIS) to improve transportation system design, and to apply this to the design of non-motorized transportation models, while ensuring pedestrian safety. All these models are further analyzed for environmental impact assessment, which include structural audits, analysis of site selection procedure, baseline conditions and major concerns, green building and its advantages, the description of potential environmental effects, and many more interesting topics.