Application of multi-variable system techniques (AMST '98)

著者

書誌事項

Application of multi-variable system techniques (AMST '98)

edited by Robert Whalley and Morteza Ebrahimi

Professional Engineering Publishing, 1998

大学図書館所蔵 件 / 全4件

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注記

'Collected papers from an International Symposium "Application of Multi-Variable System Techniques" (AMST), held on 7-8 April, 1998, at the University of Bradford, UK.'

Includes bibliographical references and index

内容説明・目次

内容説明

The text discusses the application of multi-variable and multi-dimensional techniques in the utility industries, and also for power plant, process, manufacturing, aeronautical and marine systems.

目次

  • Part 1 Keynote paper: aspects of relay autotuning, D.P. Atherton. Part 2 Roll control and stabilization: intelligent roll control of an autonomous underwater vehicle, R. Sutton et al
  • automatic stabilization of an hypersonic transport aircraft, D. McLean and Z.A. Zaludin
  • preliminary design study to improve roll control of aircraft, R. Ferreiro et al. Part 3 Design techniques: multi-variable controller design minimizes potential waterborne disease, J. Evans and C. Enoch
  • dynamic matrix control - an adaptive alternative, R. Ferreiro Garcia and J. Rodriguez Roncero
  • distillation column control, R.M. Henry and I.M. Mujtaba. Part 4 Control and stability analysis: the impedance matrix and controllability, R. Whalley et al
  • stability analysis of high speed rigid rotors on fluid film bearings, M. Aleyaasin et al
  • control and stability of legged robots, G.S. Virk and P.K. Kiriazov. Part 5 Robust optimal control application: extended interactor polynomial for multi-variable robust controller, Y. Yamane et al
  • multi-variable robust PI control of an aeroengine, G. Xu and D.P. Atherton
  • the optimal placement of actuators using genetic algorithms, R.W. Szczepanski and J.M. Hale
  • decoupling collector main pressure control on coke ovens, A. Johnstone. Part 6 Identification and estimation techniques: co-operative co-evolutionary multi-variable system identification using structured genetic algorithms, P.B. de Moura Oliveira and A.H. Jones
  • identification of dynamic fuel parameters for automotive SI engines using robust maximum likelihood estimators, M. Cary et al
  • recent developments in Windows Convolution-based Simulation Language (WCBSL) and its applications, N.E Gough et al. Part 7 Modelling 1: improved mimo model and controller structure selection, A.F. Doonan et al
  • towards an advisory system for soot blower erosion, C. Slevin and S. Thompson
  • multi-variable modelling of building services systems, G.S. Virk et al
  • mean value modelling of power station Nox emissions, C.H. Gormley and S. Thompson. Part 8 Fuzzy logic control and simulation: fuzzy control of a two-stage high-pressure gas reduction station, I. Fletcher et al
  • frequency domain analysis of multi-variable fuzzy control systems, F. Gordillo et al
  • a fuzzy controller of multi-variable ship motion, A. Tiano and A. Zirilli. Part 9 Modelling 2: multi-variable following pseudolink control of a two-dimensional flexible manipulator, G. Fernandez et al
  • analysis and simulation of a road tanker carrying liquid in a cylindrical tank, D. Mitchell et al
  • distributed-lumped modelling and simulation of ship and propulsion plant dynamics, S.S.I. Rizvi et al
  • diagnosis for real time vibration monitoring of precision spindles, N. Lynagh et al.

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