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IEEE Control Systems

Issue 3 • June 1994

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Displaying Results 1 - 6 of 6
  • Identification and control experiments using neural designs

    Publication Year: 1994, Page(s):48 - 57
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (953 KB)

    Neural designs are reported for system identification and control using static and dynamic gradient update schemes. Real-time implementation of the designs using a hardware example case system illustrates the inherent capability of neural networks to handle nonlinearities, learn, and perform control effectively for a real world system, based on minimal system information. The advantages of dynamic... View full abstract»

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  • Intelligent process control with supervisory knowledge-based systems

    Publication Year: 1994, Page(s):37 - 47
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1246 KB)

    The integration of a supervisory knowledge-based system (KBS) with a multivariable control system is examined to provide robust multivariable control of a chemical reaction process. The supervisory KBS is capable of monitoring the process to detect system faults as well as assessing control system performance. If a control system performance deficiency is detected, the KBS formulates and implement... View full abstract»

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  • Neural network control of automotive fuel-injection systems

    Publication Year: 1994, Page(s):31 - 36
    Cited by:  Papers (13)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (597 KB)

    A neural network methodology is developed for air-to-fuel (A/F) ratio control of automotive fuel-injection systems. The dynamics of internal combustion engines and fuel-injection systems are extremely nonlinear, impeding methodical application of control theories. Thus, the design of standard production controllers relies heavily upon calibration and look-up tables. A neural network-type controlle... View full abstract»

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  • Approximately time-optimal fuzzy control of a two-tank system

    Publication Year: 1994, Page(s):24 - 30
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (688 KB)

    This article deals with the level controls in a laboratory two-tank system. The plant is strongly nonlinear due to the basic dynamic equations and the characteristics of the valves. We develop a nonlinear control law which achieves robust approximately time-optimal control over the full range of operation conditions. The development is based on ideas from fuzzy control, but in contrast to usual fu... View full abstract»

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  • Intelligent hierarchical thrust vector control for a space shuttle

    Publication Year: 1994, Page(s):13 - 23
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1064 KB)

    We present the design of a thrust vector controller for a space shuttle vehicle with multiple engines. This controller will maintain vehicle trajectory and thrust vector while minimizing risk and damage to each engine and to the propulsion system as a whole by independently controlling the thrust magnitude and exhaust cone gimbals angles of each engine. A statistical model from reliability theory ... View full abstract»

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  • Intelligent fault diagnosis and control reconfiguration

    Publication Year: 1994, Page(s):6 - 12
    Cited by:  Papers (41)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (851 KB)

    This paper gives an overview of fault diagnosis and control reconfiguration for complex systems such as those required in the aerospace industry. The presentation starts with a brief review of fault accommodation followed by four specific examples, viewed from the perspective of a control engineer. These examples are: 1) real-time fault diagnosis; 2) fault accommodation and control reconfiguration... View full abstract»

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As the official means of communication for the IEEE Control Systems Society, the IEEE Control Systems Magazine publishes interesting, useful, and informative material on all aspects of control system technology for the benefit of control educators, practitioners, and researchers.

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Jonathan P. How
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