2007
DOI: 10.1109/tcst.2006.886438
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A Fuzzy Lyapunov-Based Control Strategy for a Macro–Micro Manipulator: Experimental Results

Abstract: A class of model-free fuzzy controllers based on the Lyapunov-function reasoning is presented for a Macro-Micro Manipulator (M3) system. The control strategy uses the structural properties of the system model and assumes no other a priori knowledge about the system dynamics. Although, in general, the control structure can be regarded as a fuzzy controller, it may also be interpreted as a nonlinear multi-input multi-output (MIMO) proportional-integral-differential (PID) controller. An experimental setup consist… Show more

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Cited by 22 publications
(13 citation statements)
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References 20 publications
(33 reference statements)
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“…Introduction of dynamic fuzzy controller structures with the aim of control system performance improvement leads to PD-, PI-or PID-fuzzy controllers [19,25,56,58]. Several controllers have been developed:…”
Section: Introductionmentioning
confidence: 99%
“…Introduction of dynamic fuzzy controller structures with the aim of control system performance improvement leads to PD-, PI-or PID-fuzzy controllers [19,25,56,58]. Several controllers have been developed:…”
Section: Introductionmentioning
confidence: 99%
“…3 The flexible arm with two connections [1] of tracking the position of a connection target with high flexibility. Its structuring is as follows: two neural networks are as the learning section of recursive errors, in order to educate the inverted dynamic correspondence to redefine the output of target position, the third neural network participates in the controlling operation with target function by learning the steepest decent technique and the fourth neural network which consists of two neural networks is applied to implement the online learning section and the appropriate output feedback (on the implementation of a system with minimal fuzzy-based behavior) [13][14][15][16][17].…”
Section: Yesmentioning
confidence: 99%
“…In a certain sense, intuitive symbolic expression can be obtained no matter how complicated the operation relations are [4]. The following contents briefly explain some symbol commands.…”
Section: Matlab Symbol Derivation Of Dynamics Modelmentioning
confidence: 99%