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Fig. 11. Response of fuzzy and PID controller.

Journal: Journal of Applied Research and Technology

Article Title: Online tuning of fuzzy logic controller using Kalman algorithm for conical tank system

doi: 10.1016/j.jart.2017.05.004

Figure Lengend Snippet: Fig. 11. Response of fuzzy and PID controller.

Article Snippet: A certain amount of a riori information about the system is necessary in constructing he control rules for adapting the filter parameters. . Simulink model of fuzzy and PID controller Simulink is a Matlab toolbox designed for the dynamic simuation of linear and nonlinear systems as well as continuous and iscrete-time systems.

Techniques: