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Model based control has emerged as an important way to improve plant efficiency in the process industries, while meeting processing and operating policy constraints. The reader of Methods of Model Based Process Control will find state of the art reports on model based control technology presented by the world's leading scientists and experts from industry. All the important issues that a model based control system has to address are covered in depth, ranging from dynamic simulation and control-relevant identification to information integration. Specific emerging topics are also covered, such as robust control and nonlinear model predictive control. In addition to critical reviews of recent advances, the reader will find new ideas, industrial applications and views of future needs and challenges. Audience: A reference for graduate-level courses and a comprehensive guide for researchers and industrial control engineers in their exploration of the latest trends in the area.
A graduate text providing broad coverage of linear multivariable control systems, including several new results and recent approaches.
The workshop was organized and conducted by the Control Techniques Group, Flight Control Division, Flight Dynamics Laboratory, as part of an ongoing effort in flight control specification/criteria development. The workshop focused on the results of applying multivariable control techniques to the development of flight control systems for present day aircraft. This report contains condensed versions of the five papers presented at the workshop: (1) Multivariable Control Laws for the AFTI/F-16, (2) Design of a Complete Multivariable Digital Flight Control System, (3)Digital Multivariable Tracker Control Laws for the C-141-A Starlifter Aircraft; (4) High-Gain Error Actuated Flight Control Systems for Continuous Linear Multivariable Plants, and (5) Reconfigurable Digital Control Laws for the A-7D DIGITAC II Aircraft With Failed Primary Control Surfaces.
This text provides an introduction to numerical linear algebra together with its application to solving problems arising in state-space control and systems theory. The book provides a number of elements designed to help the reader learn to use numerical linear algebra in day-to-day computing or research, including a brief review of matrix analysis and an introduction to finite (IEEE) arithmetic, alongside discussion of mathematical software topics. In addition to the fundamental concepts, the text covers statistical condition estimation and gives an overview of certain computational problems in control and systems theory. Engineers and scientists will find this text valuable as a theoretical resource to complement their work in algorithms. For graduate students beginning their study, or advanced undergraduates, this text is ideal as a one-semester course in numerical linear algebra and is a natural follow-on to the author's previous book, Matrix Analysis for Scientists and Engineers.
Recent results in the development and application of analysis and design techniques for the control of multivariable systems are discussed in this volume.