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Furthermore, implementation is very simple.
The implementation is very simple by means of complex arithmetic which is readily available in many FORTRAN compilers.
The voltage-mode hardware implementation is very simple and is based on input capacitors and MVL or analog inverters and buffers.
The numerical implementation is very simple and convenient because it is only necessary to construct an array of nodes in the targeted domain.
The control implementation is very simple in the sense that the knowledge of the robot parameters is not needed, and the only requirement on the PD and learning gains is the positive definiteness condition.
The implementation is very simple given the Matlab Parallel Computing Toolbox but is described nonetheless.
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The paper generic control scheme was designed to facilitate industrial implementation where tuning is very simple and only concerns one parameter.
Under others loading cases, the numerical implementation of the criterion is very simple and can be easily integrated in a damage model or in a finite element code.
The implementation of this scheme is very simple: the interpolation of the volume fraction in the monotonicity-upwind-scheme-for-conservation-law (MUSCL) solver is just replaced by the hyperbolic tangent interpolation, while the MUSCL interpolations for other variables are maintained.
Unlike conventional Luenberger observers, where the design calculations are rather intensive and the implementation is a challenge in real time even for low order systems, the design and implementation of the neural observer is very simple and straightforward.
This coordination policy is very simple but allows to perform the complete experiment including implementation as shown in next section.
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