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Ultrasonic Motion Detector Motion in a room can be detected by sensing the changes in the relative phase of acoustic waves An ultrasonic motion detector employs a set of transducers that emit acoustic waves at frequencies above the range of human hearing (higher than 20 kHz) Another set of transducers picks up the reflected acoustic waves, whose wavelength is on the order of a few millimeters If anything in the room changes position, the relative phase of the waves, as received by the various acoustic pickups, will change This data is sent to a microprocessor, which can trigger an alarm and/or notify the police

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0 0 1

which has the desired form for the observable canonical form Therefore, the similarity transform de ned by U transforms the original observable system to observable canonical form In the observable canonical form, it is straightforward to design the

Some researchers have analyzed the evolution of robots, marking progress according to so-called robot generations One of the first engineers to make formal mention of robot generations was the Japanese engineer Eiji Nakano

90 observer gain Lo , because ( o Lo Ho ) =

0 0 (an 1 + Lon 1 ) 0 0 1 0 0 0 (an + Lon ) (a1 + Lo1 ) (a2 + Lo2 ) 1 0 0 1

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First Generation According to Nakano, a first-generation robot is a simple mechanical arm Such machines have the ability to make precise motions at high speed, many times, for a long time They have found widespread industrial application and have been in existence since the middle of the twentieth century These are the fast-moving systems that install rivets and screws in assembly lines, that solder connections on printed circuits, and that, in general, have taken over tedious, mind-numbing chores that would otherwise have to be done by humans First-generation robots can work in groups if their actions are synchronized The operation of these machines must be constantly watched, because if they get out of alignment and are allowed to keep operating anyway, the result can be a series of bad production units

(380)

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which has the characteristic equation |sI ( o Lo Ho )| = sn + (a1 + Lo1 )sn 1 + + (an + Lon ) = 0 Therefore, if a set of desired discrete-time pole locations {pi }n are sei=1 lected, then the desired characteristic equation can be computed The vector Lo to cause eqn (380) to match the desired characteristic equation can be computed and L = U 1 Lo Example 316 Consider the system described in eqn (34) with m = 1, b = 2 and k = 0 De ning the state vector as x = [p, p] , a continuous-time state space model for the system is x(t) y(t) = = 2 0 1 0 0 1 x(t) + x(t) 1 0 f (t) (381) (382)

For a sample period of T = 01 seconds, the equivalent discrete-time state space model given by eqn (365) is xk+1 pk = = 08187 00000 00906 10000 00000 10000 xk + xk 00906 00047 fk (383) (384)

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