2015
DOI: 10.14257/ijbsbt.2015.7.6.30
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Adaptive Control of Active Dental Joint

Abstract: In this paper, a PID model-based

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Cited by 1 publication
(6 citation statements)
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“…In sliding mode controller, sliding surface slope (λ) is the second factor to control the chattering, as a result the main task in the first objective is reduce or eliminate the chattering in sliding mode controller based on design parallel linear control methodology and discontinuous part. Sliding mode controller and linear control methodologies are robust based on Lyapunov theory, therefore; Lyapunov stability is proved in proposed chattering free sliding mode controller based on switching theory [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29].…”
Section: Figure 2 Nonlinear Fuzzy Saturation Boundary Layer Functionmentioning
confidence: 99%
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“…In sliding mode controller, sliding surface slope (λ) is the second factor to control the chattering, as a result the main task in the first objective is reduce or eliminate the chattering in sliding mode controller based on design parallel linear control methodology and discontinuous part. Sliding mode controller and linear control methodologies are robust based on Lyapunov theory, therefore; Lyapunov stability is proved in proposed chattering free sliding mode controller based on switching theory [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29].…”
Section: Figure 2 Nonlinear Fuzzy Saturation Boundary Layer Functionmentioning
confidence: 99%
“…The dynamic modeling describes the relationship between motion, velocity, and accelerations to force/torque or current/voltage and also it can be used to describe the particular dynamic effects (e.g., inertia, coriolios, centrifugal, and the other parameters) to behavior of system. Spherical motor has nonlinear and uncertain dynamic parameters 3 degrees of freedom (DOF) motor [20][21][22][23][24][25][26].…”
Section: Figure 2 Nonlinear Fuzzy Saturation Boundary Layer Functionmentioning
confidence: 99%
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