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Fuzzy logic implementation

S. Pawlowski, P. Dutkiewicz, K. Kozlowski, W. Wroblewski, Fuzzy logic implementation in mobile robot control, in 2nd Workshop on Robot Motion and Control, (Oct 2001), pp 65-70... [Pg.25]

While the single-loop PID controller is satisfactoiy in many process apphcations, it does not perform well for processes with slow dynamics, time delays, frequent disturbances, or multivariable interactions. We discuss several advanced control methods hereafter that can be implemented via computer control, namely feedforward control, cascade control, time-delay compensation, selective and override control, adaptive control, fuzzy logic control, and statistical process control. [Pg.730]

In addition to single-loop process controllers, products that have benefited from the implementation of fuzzy logic are ... [Pg.735]

Fig. A1.8 Simulink implementation of inverted pendulum fuzzy logic control problem. Fig. A1.8 Simulink implementation of inverted pendulum fuzzy logic control problem.
Fuzzy logic is often presented as an extension in books that cover expert systems. Few texts exist in which the applications of fuzzy logic to scientific problems are described, but several texts include more general discussions of the principles and practical implementation of this method. Among the best is Negnevitsky s text on intelligent systems.9... [Pg.260]

The second requirement is a suitable similarity measure for the comparison of patterns. Once the patterns are defined and the quality of the experimental base data is good, pattern-recognition methods are valuable. Nevertheless, if patterns change irregularly and cannot be explicitly defined, the similarity measure no longer describes the difference between query and experimental pattern even if a fuzzy logic approach is implemented. [Pg.21]

In fuzzy logic, operators such as AND, OR, and NOT are implemented by fuzzy intersection or conjunction (AND), fuzzy union or disjunction (OR), and fuzzy complement (NOT). There are various ways to define these operators, but commonly, AND, OR, and NOT logic operators are implemented by the min, max, and complement operators. The fuzzy truth, T, of a complex sentence is evaluated in this way ... [Pg.564]

Yuniarto MN, Labib AW (2005) Optimal control of an unreliable machine using fuzzy-logic control from design to implementation. Int J Prod Res 43(21) 4509 537... [Pg.568]

AND is used to evaluate the conjunction of rule antecedents. Typically, fuzzy logic systems utilize the classical fuzzy operation intersection to implement this operation. Consider fuzzy rule 1 ... [Pg.37]

Similarly, OR is used to evaluate the disjunction of rule antecedents, which is implemented by the classical fuzzy operation union in fuzzy logic systems. Consider fuzzy rule 2 ... [Pg.37]

Singh P, Vinjamuri R, Wang X, Reisner D (2006) Design and implementation of a fuzzy logic-based state-of-charge meter for Li-ion batteries used in portable defibrillators. J Power Sources 162 829-836. doi 10.1016/j.jpowsour.2005.04.039... [Pg.46]

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