In this brief, we propose a new neuro-fuzzy reinforcement learning-based control (NFRLC) structure that allows autonomous underwater vehicles (AUVs) to follow desired trajectory in large-scale complex environments precisely. The accurate tracking problem is solved by unique online NFRLC method designed based on actor-critic (AC) structure. Integrating the framework including an adaptive multila...

The correlation between GDP and research publications is an important issue in scientometrics. This article provides further empirical evidence connecting revealed comparative advantage in national research with effects on economic output. Using quantitative time series analysis, this study attempts to determine the nature of causal relationships between research output and economic growth. One...

The Internet is facing two problems simultaneously: there is a need for a faster switching/routing infrastructure, and a need to introduce guaranteed qualities of service (QoS). Each problem can be solved independently: switches and routers can be made faster by using input-queued crossbars, instead of shared memory systems; and QoS can be provided using WFQ-based packet scheduling. However, un...

The notion of output-input stability, recently proposed in [2], represents a variant of the minimum-phase property for general smooth nonlinear control systems. In the spirit of the input-to-state stability (ISS) philosophy, the definition of output-input stability requires the state and the input of the system to be bounded by a suitable function of the output and derivatives of the output, mo...

This paper proposes a novel type of Output-Output Correspondence (OO-Corr) termed Transparadigmatic Output-Output Correspondence, which I contrast against two other types of OO-Corr. This is summarized in Table 1. One is Classic OO-Corr (case studies in Benua 1997), which involves a correspondence relation between an output (candidate) [X-Y] and another output [X], which is referred to as the b...