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A special class of recurrent neural network termed Zhang neural network (ZNN) depicted in the implicit dynamics has recently been introduced for online solution of time-varying convex quadratic programming (QP) problems. Global exponential convergence of such a ZNN model is achieved theoretically in an error-free situation. This paper investigates the performance analysis of the perturbed ZNN model...
In this paper, the performance of a gradient neural network (GNN), which was designed intrinsically for solving static problems, is investigated, analyzed and simulated in the situation of time-varying coefficients. It is theoretically proved that the gradient neural network for online solution of time-varying quadratic minimization (QM) and quadratic programming (QP) problems could only approximately...
Redundancy resolution has been widely investigated at the joint-velocity and joint-acceleration levels for robot manipulators in the past three decades, but in a separate manner. In this paper, two redundancy-resolution schemes (i.e., a velocity-level based scheme and an acceleration-level based scheme) are presented, and more importantly the relationship between such two different-level schemes is...
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