Control and Dynamic Systems: Advances in Industrial Systems v. 37

Control and Dynamic Systems: Advances in Industrial Systems v. 37 : Advances in Theory and Applications

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Description

In the 1940s, techniques for the analysis and synthesis of industrial systems of any degree of complexity were simplistic, at best, and so were the system models. Other essential techniques, such as the detection and diagnosis of industrial plant failures, represented, for all practical purposes, a void in available methods. The industrial systems of the 1940s were relatively unsophisticated by comparison with the industrial systems of the 1990s. Numerous key advances have occurred since that provide considerable power in the effective control of complex industrial systems. These include advances in computers, electronics, communications, sensor systems, and systems techniques. The increasing complexity of industrial systems over the past few decades was recognized and covered in earlier volumes of this series. Because of the advances in techniques for industrial systems control, "Advances in Industrial Systems" reviews this area.
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Product details

  • Hardback | 425 pages
  • 156 x 235mm | 758g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 0120127377
  • 9780120127375

Table of contents

New performance measures for real-time digital computer controls and their applications, K.G.Shin and C.M.Krishna; modelling and control of automotive power trains, D.Hrovat and W.F.Powers; controlling techniques in the pulp and paper industry, G.A.Dumont; advances in the theory and practice of production scheduling, K.P.White Jr; detection and diagnosis of plant failures - the orthogonal parity equation approach, J.J.Gertler et al; model-predictive control of processes with many imputs and outputs, N.L.Ricker; robust estimation theory for bad data diagnostics in electric power systems 271, L.Mili, et al; matching analytical models with experimental modal data in mechanical systems, D.J.Inman and C.Minas; techniques in industrial chemical systems optimization, D.M.Himmelblau.
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