Artificial Intelligence in Real-Time Control 1989: by M. G. Rodd

By M. G. Rodd

Papers provided on the workshop are consultant of the state-of-the artwork of synthetic intelligence in real-time keep watch over. the problems coated integrated using AI equipment within the layout, implementation, checking out, upkeep and operation of real-time keep an eye on platforms. whereas the point of interest was once at the basic points of the methodologies and applied sciences, there have been a few functions papers which helped to place rising theories into viewpoint. The 4 major topics have been architectural matters; wisdom - acquisition and studying; suggestions; and scheduling, tracking and administration.

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Extra info for Artificial Intelligence in Real-Time Control 1989: Proceedings of the Ifac Workshop, Shenyang, People's Republic of China, 19-21 September 1989

Example text

C A S E Statements of a control supervisor. T h e autopilot keeps the airframe stable according to certain setpoints such as altitude, speed Differentiation, Integration I F . . T H E N . . E L S E . . rules Multiplication, Division Exclusive-OR, Coincidence Addition, Subtraction AND, OR and heading. However, the autopilot alone cannot execute a mission. T h e pilot decides w h e n to change the autopilot setpoints in order to reach the mission goals. T h e mathematically based tools (time-domain methods such as state space analysis and frequency-domain methods such can b e expected w h e n implementing a comprehensive con­ as B o d e plots) used b y engineers to design control sys­ tems are not adequate for designing real-world supervisory trol supervisor.

1986). Real-time Expert System Development Techniques and Applications, IEEE Western Conference on Knowledge-Based Engineering and Expert Sys­ tems, 1986, pp. 69-73. Leitch, R . R . (1987). D Control Theory and Applications, 134, part D , no. 4, p. 217. Lun, V . and MacLeod, I . M . (1989). Distributed Knowledge Systems in Real-time Applications, 5th IFAC/IFIP Sym­ posium on Software for Computer Control, April 1988. MacLeod, I . M . ( 1 9 8 3 ) . D. Thesis, University of the Witwatersrand. M i l n e , R .

T h e first section intelligence of an intelligent control system a n d states that provides a high-level discussion of the proposed architec­ precision is not required w h e r e intelligence is high, a n d vice ture. T h e second section explains w h y it is claimed that a versa. discrete w o r l d model can be used to implement a real-world control supervision system. Because time cannot be treated Since the beginning of A I research, there have been t w o in the same w a y as the rest of the continuous properties of schools of thought r e g a r d i n g the approach taken w h e n m o d ­ the w o r l d , it has been treated under a separate heading.

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