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Brain-state drifts could significantly impact on the performance of machine-learning algorithms in brain computer interface (BCI). However, less is understood with regard to how brain transition states influence a model and how it can be represented for a system. Herein we are interested in the hidden information of brain state-drift occurring in both simulated and real-world human-system interaction...
Bayesian Optimization or Efficient Global Optimization (EGO) is a global search strategy that is designed for expensive black-box functions. In this algorithm, a statistical model (usually the Gaussian process model) is constructed on some initial data samples. The global optimum is approached by iteratively maximizing a so-called acquisition function, that balances the exploration and exploitation...
The present paper describes the behavior of the input key parameters selected in the analysis of the early stages of a Station Blackout scenario simulated in a CANDU 6 reactor. The event timing of an SBO accident progression was described in this paper. However, “time” is merely one of many aspects to be referred for the comparison of the level of safety. An overall comparison of the level of safety...
Linear two-criteria problems of efficiency and risk control are considered. The minimax risk function and the risk function in the polyhedral 1-metric as risk assessment are used. Two-criteria problems are formalized in the form of the sum type convolution of the efficiency and risk criteria and of the ratio type convolution. It is shown that the solutions of the corresponding linear decision-making...
The paper presents a variation of the systems' synthesis problem setting, where it is proposed to use the values of the entropy potentials of the output parameters as an optimization criterion. The use of such criteria makes it possible to improve the quality of the process dynamics assessment, what creates the prerequisites for the control efficiency improvement. With the reference to this specific...
The paper observes methods of qualimetry of dynamic processes based on the “entropy” approach. Also the paper presents variants of criteria for the processes quality assessment, adapted to different situations, as well as justifies the expediency of their application. The proposed models are based on the use of typical statistical characteristics of the analyzed parameters, are compact and convenient...
The need to improve the quality of management at minimum costs, the complexity of the structure of the management object, the functions performed by it, leads to an increase in uncertainties that need to be taken into account. The use of fuzzy logic to control pumping equipment will reduce the likelihood of erroneous decisions, which will increase the life of technological equipment.
In this paper, the maneuver flight control scheme is proposed for the hypersonic glide vehicle (HGV). The system uncertainty, unknown external disturbances and input saturation are explicitly considered in the controller design. Firstly, the maneuver control architecture of lateral turning for the HGV is developed, and then a robust attitude controller is constructed to execute the maneuver command...
This paper presents an analyzing on the prediction of a primary signal in cognitive radio networks using a hybrid algorithm based on two parts, know as: an alpha-beta filter and a neyman-pearson (NP) detector. Today, it is important to predict a primary signal in a cluttered environment and especially when the secondary user (SU) is moving. However, the challenges of this contribution are based on...
In this paper we consider the broadband-narrowband coexistence scenario where the unused spectral gaps in the professional mobile radio (PMR) frequency band are used for broadband data communications. Spectrally confined filter bank based multicarrier (FBMC) waveform is applied for broadband transmission in order to minimize the interference leakage between the new broadband system and the legacy...
This paper presents the implementation of a nonlinear robust controller in a boost converter, which operates in an uncertain environment. The proposed controller deals with uncertainties, which are unknown but bounded, and occur in the input voltage and the output pure resistive load. Mathematical proof of the efficiency of the controller and quantitative results about the amount of the uncertainty...
Traditional power allocation algorithms in heterogeneous networks (HeNets) are given under the assumption of perfect channel state information (CSI). However, the perfect CSI is difficult to obtain due to the efficiency of channel fading and feedback delays. In this paper, a robust power allocation algorithm is proposed to minimize the total transmit power of femtocell users under the constraints...
This paper addresses the robust beamforming design for a downlink cloud radio access network (cloud RAN) subject to per-base-station (BS) power constraint and individual signal-to-interference-plus-noise ratio (SINR) requirements. Our objective is to minimize the overall network power and backhaul cost while guaranteeing the users' SINR constraints for every channel realization by designing the joint...
Improving electric energy conservation has been a topic of interest to the electric power industry for a long time. Conservation Voltage Reduction (CVR) is a proven method for saving energy and reducing peak demand. However, due to highly stochastic load behavior and increasing the market penetration by intermittent renewable energies, energy conservation remains a challenge. We propose an improved...
This paper, considering the complexity of university internal governance effect and particularity of the university itself, aims to build a indicator system to evaluate university internal governance effect, using the Grey Multilayer Comprehensive Assessment Method to evaluate this indicator system, whilst applying the Analytical Hierarchical Process (AHP) and Entropy Evaluation Method to define the...
We explore the use of adaptive control for a hydraulic actuator model in an engine with variable cam timing (VCT) system. The hydraulic actuator is modeled as a Hammer-stein system with an asymmetric, uncertain input nonlinearity followed by known time delay and linear dynamics. We begin the presentation by designing a fixed-gain baseline controller, which consists of a PI controller with high robustness...
The intuitionistic fuzzy set which is characterized by a membership degree and a non-membership degree, is a very powerful and useful tool to cope with fuzziness and uncertainty. Recently, the Pythagorean fuzzy set which is an extension of the intuitionistic fuzzy set has been introduced. In this paper, we focus on multi-attribute decision making with Pythagorean fuzzy information. First of all, considering...
In this paper, we propose a mechanism for cancer cell differentiation therapy based on a game-theoretic rough set model with intuitionistic fuzzy set. We introduce an intuitionistic fuzzy relation with the help of fuzzy compatibility relation. The approximation space classification is controlled with a pair of intuitionistic fuzzy thresholds. It provides a flexibility to set up tolerance level depending...
In multiple attribute decision analysis (MADA) problems, one often needs to deal with assessment information with uncertainty. The evidential reasoning approach is one of the most effective methods to deal with such MADA problems. As a kernel of the evidential reasoning approach, an original evidential reasoning (ER) algorithm was firstly proposed by Yang et al, and later they modified the ER algorithm...
Supply chain risk management is one of significant issues in the design and operations of supply chains. It is well-known that leader-follower relationship influences the decision making of decentralized supply chains. In this paper, we address a game theoretical analysis of the leadership structure in the decentralized supply chain with risky supplier under demand uncertainty. The risky supplier...
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