In power distribution systems, with their great vastness and various outage
causes, one of the most important problems of power distribution companies is to
select a suitable maintenance strategy of system elements and method of
financial planning for the maintenance of system elements with the two
objectives of decrease in outage costs and improvement of system reliability. In
this article, a pra... hiện toàn bộ
AbstractThe use of equilibrium models in economics springs from the desire for
parsimonious models of economic phenomena that take human reasoning into
account. This approach has been the cornerstone of modern economic theory. We
explain why this is so, extolling the virtues of equilibrium theory; then we
present a critique and describe why this approach is inherently limited, and why
economics ne... hiện toàn bộ
In this article, a new methodology based on fuzzy
proportional‐integral‐derivative (PID) controller is proposed to damp low
frequency oscillation in multimachine power system where the parameters of
proposed controller are optimized offline automatically by hybrid genetic
algorithm (GA) and particle swarm optimization (PSO) techniques. This newly
proposed method is more efficient because it cope w... hiện toàn bộ
This article discusses a new methodology, which combines two efficient methods
known as Monte Carlo (MC) and Stochastic‐algebraic (SA) methods for stochastic
analyses and probabilistic assessments in electric power systems. The main idea
is to use the advantages of each former method to cover the blind spots of the
other. This new method is more efficient and more accurate than SA method and
also ... hiện toàn bộ
Josephson junction oscillators can generate chaotic signals with a wide
frequency spectrum. An improved scheme of Lyapunov functions is proposed to
control chaotic resonators of this type and forces them to converge to an
arbitrary selected target signal. A changeable gain coefficient is introduced
into the Lyapunov function, and the controllers are designed analytically. The
controllers operate a... hiện toàn bộ
AbstractInformation processing and two types of memory in an analog neural
network model with time delay that produces chaos similar to the human and
animal EEGs are considered. There are two levels of information processing in
this neural network: the level of individual neurons and the level of the neural
network. Similar to the state of brain, the state of chaotic neural network is
defined. It ... hiện toàn bộ
Israr Ahmad, Azizan Saaban, Adyda Ibrahim, Mohammad Shahzad
Chaos synchronization is a procedure where one chaotic oscillator is forced to
adjust the properties of another chaotic oscillator for all future states. This
research paper studies and investigates the global chaos synchronization problem
of two identical chaotic systems and two non‐identical chaotic systems using the
linear active control technique. Based on the Lyapunov stability theory and
usi... hiện toàn bộ
At the macroeconomic level, the movement of the stock market index, which is
determined by the moves of other stock market indices around the world or in
that region, is one of the primary factors in assessing the global economic and
financial situation, making it a critical topic to monitor over time. As a
result, the potential to reliably forecast the future value of stock market
indices by taki... hiện toàn bộ
Yuting Bai, Xue‐Bo Jin, Xiaoyi Wang, Tingli Su, Jianlei Kong, Yutian Lu
The prediction information has effects on the emergency prevention and advanced
control in various complex systems. There are obvious nonlinear, nonstationary,
and complicated characteristics in the time series. Moreover, multiple variables
in the time‐series impact on each other to make the prediction more difficult.
Then, a solution of time‐series prediction for the multivariate was explored in
... hiện toàn bộ
Many human manipulation skills are force relevant, such as opening a bottle cap
and assembling furniture. However, it is still a difficult task to endow a robot
with these skills, which largely is due to the complexity of the representation
and planning of these skills. This paper presents a learning‐based approach of
transferring force‐relevant skills from human demonstration to a robot. First,
t... hiện toàn bộ