This paper aims at investigating the superiority of power allocation strategies, based on calculus of variations in a point-to-point two-way relay-assisted channel incorporating the amplify and forward strategy. Single and multilayer coding strategies for two cases of having and not having the channel state information (CSI) at the transmitters are studied, respectively. Using the notion of cal...

We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal strategy in incomplete information settings. Specifically, an agent learns the optimal strategy to play against an opponent whose strategy varies with time, assuming no prior information about its negotiation parameters. In so doin...

According to a definition found in the summary of the Workshop on Adaptable and Adaptive Software[LL95]: “A program is called adaptive if it changes its behaviour automatically according to its context”. Within this context, we restrict our research domain to the automatic runtime adaptation of existing behaviours. In this paper, we propose an Adaptive Strategy Design Pattern that can be used t...

Multivariate integration problems arising in the real world often lead to computationally intensive numerical solutions. If the singularities and/or peaks in the integrand are not known a priori, the use of adaptive methods is recommended. The eeciency of adaptive methods depends heavily on focusing on the sub-regions that contain singularities or peaks in the integrands. In this paper, we pres...

This paper presents a self–adaptive bacteria swarm optimization algorithm, and its application in a suite of optimization benchmark problems, where the self–adaptive algorithm outperformed in most cases the non adaptive version. The algorithm follows a methodology that uses some concepts included in the Evolution Strategies for the parameter control, allowing the algorithm to select online the ...

As a large number of converters composed power electronic devices are connected to the grid, system has gradually decreased stability. How increase dynamic response converter become one research hotspots. Virtual synchronous generator technology (VSG) can endow with moment inertia and damping characteristics, thereby enhancing response, but traditional VSG cannot achieve optimal control effect....

An adaptive version of growing and pruning RBF neural network has been used to predict the system output and implement Linear Model-Based Predictive Controller (LMPC) and Non-linear Model-based Predictive Controller (NMPC) strategies. A radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.An Unscented Kal...

This paper presents a robust control scheme for distributed generations (DGs) in islanded mode operation of a microgrid (MG). In this strategy, assuming a dynamic slack bus with constant voltage magnitude and phase angle, nonlinear equations of the MG are solved in the slack-voltage-oriented synchronous reference frame, and the instantaneous active and reactive power reference for the slack bus...