The phrase "convergence capabilities" is correct and usable in written English.
You could use it when discussing the ability of a system or organization to combine several different elements into a cohesive whole. For example, "This company has excellent convergence capabilities, being able to easily combine disparate processes from its various departments into a data-driven system."
Simulation results indicate that the PSO-IAC algorithm provides the fastest convergence capability.
Memetic algorithms (MAs) are widely recognized to have better convergence capability than their conventional counterparts.
Tabu search (TS) based local search is embedded in the proposed algorithm to enhance the convergence capability.
Taking advantage of the collective computational ability and energy convergence capability of the Hopfield network, the noises will be effectively removed.
Taking advantage of the collective computational ability and energy convergence capability of the Hopfield neural network, the experiment received a good result.
This nonlinear control strategy shows comparatively better closed-loop performance than the gain-scheduled proportional integral (GSPI) controller due to the exponential error convergence capability of the estimation scheme and the high-quality control of the GMC law.
Considering the high nonlinearity and uncertainty in the dynamic model, an inner-and-outer loop combined control strategy based on feedback linearization theory and adaptive terminal sliding mode control is proposed with finite-time convergence capability and good robust performance.
The proposed adaptive control scheme is shown to be quite promising due to the exponential error convergence capability of the ASE estimator in addition to the high-quality performance of the GMC controller.
It is worthy to say that the proposed strategies reduce the number of searches within the solution space and enhance the convergence capability and the performance of the GA.
Besides, the CSA is compared to the genetic algorithm (GA), and particle swarm optimization (PSO) techniques and the results show the fast convergence capability and the effectiveness of the proposed algorithm in solving the problem of optimal design of third-order resonance-free passive filters in distribution networks.
