Download e-book for iPad: Advanced Fuzzy Logic Technologies in Industrial Applications by Charles P. Coleman (auth.), Ying Bai PhD, Hanqi Zhuang PhD,

By Charles P. Coleman (auth.), Ying Bai PhD, Hanqi Zhuang PhD, Dali Wang PhD (eds.)

ISBN-10: 1846284686

ISBN-13: 9781846284687

The skill of fuzzy structures to supply colours of grey among "on or off" and "yes or no" is preferrred to a lot of today’s advanced commercial regulate structures. The static fuzzy platforms frequently mentioned during this context fail to take account of inputs outdoor a pre-set variety and their off-line nature makes tuning complicated.

Advanced Fuzzy good judgment applied sciences in commercial Applications addresses the matter via introducing a dynamic, online fuzzy inference procedure. during this process club features and keep an eye on principles should not decided until eventually the process is utilized and every output of its search for desk is calculated in response to present inputs.

The tuning approach is an enormous concentration during this quantity since it is the main tricky degree in fuzzy keep an eye on program. utilizing new equipment akin to µ-law procedure, histogram equalization and the Bezier-based process, all designated the following, the tuning technique could be considerably simplified and keep watch over functionality improved.

The different nice energy of this ebook lies within the diversity and contemporaneity of its functions and examples which come with: laser monitoring and keep watch over; robotic calibration; photo processing and trend popularity; clinical engineering; audio platforms; self sufficient underwater autos and information mining.

Advanced Fuzzy good judgment applied sciences in commercial Applications is written to be simply understood by way of readers now not having really expert wisdom of fuzzy common sense and clever keep watch over. layout and alertness engineers and venture managers operating up to speed, in addition to researchers and graduate scholars within the self-discipline will locate a lot to curiosity them during this work.

Advances in business Control goals to record and inspire the move of know-how up to the mark engineering. The quick improvement of regulate know-how has an influence on all parts of the keep watch over self-discipline. The sequence deals a chance for researchers to give a longer exposition of recent paintings in all elements of commercial control.

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Additional resources for Advanced Fuzzy Logic Technologies in Industrial Applications

Example text

For example, when the current temperature is LOW, and the current change rate of the temperature is also LOW, the heater motor’s speed should be FAST to increase the temperature as soon as possible. This can be represented by the IF-THEN rule as IF the temperature is LOW, and the change rate of the temperature is LOW, THEN the conclusion or output (heater motor speed) should be FAST All other rules follow a similar strategy, which is very similar to a human being’s intuition. In this air conditioner example, a total of nine rules are developed.

13. Two lookup tables are developed in this control system, a coarse and a fine table. During the application, the switch between the coarse and the fine table is under the control of the input error limit. This limit value can be defined by the user based on the real application. Two-set membership functions and control rules are utilized in this system to satisfy the requirement of higher control accuracy. When the system needs quick responses or quick actions, the coarse table is used. When the system needs high control accuracy or small control errors, the fine lookup table is selected.

However, the controller will result in high frequency chattering near sliding surface. 12) Expanding both sides of the equation, we get S = 2 x 2  3x 3  5u  O1 x 3  O 2 x 2 =  K ( x3  O1 x 2  O 2 x1  O 2 y d ) The u obtained from this equation will be used for the control. This controller needs access to all three states, whereas the fuzzy logic controller of [l, 14] makes use of only x1 and x 2 . To have a fair comparison, we will construct an observer to get an estimate of the state variable x 3 .

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Advanced Fuzzy Logic Technologies in Industrial Applications by Charles P. Coleman (auth.), Ying Bai PhD, Hanqi Zhuang PhD, Dali Wang PhD (eds.)


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