Abstract— This paper deals with constant disturbances rejection in limit cycle tracking for an underactuated mechanical system. The feedback controler presented in [1] is enhance...
Particle Swarm Optimization (PSO) has recently emerged as a nature inspired algorithm for real parameter optimization. This article describes a method for improving the final accur...
Working in the context of a process-algebraic language for Probabilistic I/O Automata (PIOA), we study the notion of PIOA behavior equivalence by obtaining a complete axiomatizatio...
Eugene W. Stark, Rance Cleaveland, Scott A. Smolka
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
— A number of active contour models have been proposed that unify the curve evolution framework with classical energy minimization techniques for segmentation, such as snakes. Th...