Neural network continuous sliding-mode robot control /

In this paper a method for neural network control design with sliding modes in which robustness is inherent is shown. Neural network control is formulated to be a class of variable structure system control. Sliding-mode is used to determine best values for parameters in neural network learning rules...

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Main Authors: Šafarič, Riko. (Author), Jezernik, Karel. (Author), Rojko, Andreja. (Author), Uran, Suzana. (Author)
Format: Book Chapter
Jezik:English
Teme:
Sorodne knjige/članki:Vsebovano v: Advanced robotics
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040 |a KTFMB  |b slv  |c SI-MaIIZ  |d KTFMB  |e ppiak 
080 |a 007.52 
245 1 0 |a Neural network continuous sliding-mode robot control /   |c Riko Šafarič ... [et al.].  
300 |a Str. 383-386.  
500 |a Soavtorji: Karel Jezernik, Andreja Rojko, Suzana Uran.  
520 |a In this paper a method for neural network control design with sliding modes in which robustness is inherent is shown. Neural network control is formulated to be a class of variable structure system control. Sliding-mode is used to determine best values for parameters in neural network learning rules, thereby robustness in learning control can be improved. A switching manifold is prescribed and the phase trajectory is demanded to satisfy both, the reaching condition and the sliding condition modes. Derived equations of the adaptive continuous neural-network sliding mode controller were verified on a real 3 D.O.F.PUMA mechanism. The new controller was successfully tested for trajectory tracking control tasks with respect to two criteria: convergence properties of the proposed control algorithm and adaptation capability of the algorithm for sudden load changes in manipulator dynamics. 
653 0 |a robotika  |a avtomatska regulacija  |a drsni režim  |a nevronske mreže 
653 0 |a robotics  |a automatic control  |a sliding mode  |a neural networks 
700 1 2 |a Šafarič, Riko.   |4 aut 
700 1 2 |a Jezernik, Karel.   |4 aut 
700 1 2 |a Rojko, Andreja.   |4 aut 
700 1 2 |a Uran, Suzana.   |4 aut 
773 0 |a International symposium on robotics (29 : 1998 : Birmingham)  |t Advanced robotics  |d [Birmingham : s.n.], 1998  |w 3621142  |z 0952445476  |g Str. 383-386