We consider a situation when due to a crisis a deficit of credit ability of banks arises while real sector enterprises still have to refinance their comparatively short-term debt having very high current capital retur...
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ISBN:
(数字)9798331532178
ISBN:
(纸本)9798331532185
We consider a situation when due to a crisis a deficit of credit ability of banks arises while real sector enterprises still have to refinance their comparatively short-term debt having very high current capital return rate while total capital return rate might simultaneously be negative and substantially negative. So, we have scarce supply and considerably inelastic demand with very high-level (nearly)horizontal saturation due to the high current capital return rate. That may easily blow up the current bank rate, pushing real sector enterprises to bankruptcy. All that produces a parametrically dependent discrete mapping that depends on the same parameters as the Z-score classical Altman model. Parametrical surfaces of bifurcations of this mapping may be considered as some analog of fixed Z-score surfaces, while the corresponding scoring index, demonstrates proper dependence on the long-term return rate, debt-to-equity (debt-to-asset) ratio, and current capital share.
The article proposes the concept of joint navigation and communication for a heterogeneous group of autonomous uncrewed vehicles located in different environments. The theory of multi-agent systems forms the basis for...
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The statement and solution of the nonlinear estimation problem by the minimization of the root-mean-square criterion based on neural algorithms are given both within the Bayesian approach using a training set for supe...
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This paper deals with the peculiarities of navigation algorithms for uncrewed vehicles operating in airspace, on land and water surfaces, and underwater. These peculiarities are due to the available means of measuring...
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ISBN:
(数字)9798350375718
ISBN:
(纸本)9798350375725
This paper deals with the peculiarities of navigation algorithms for uncrewed vehicles operating in airspace, on land and water surfaces, and underwater. These peculiarities are due to the available means of measuring navigational parameters, motion models, and communication capabilities between the vehicles. An example illustrates the information processing in an inertial navigation system.
This paper deals with the possibility of constructing models neural network spatial and surface of the Earth fields for navigation of uncrewed vehicles. The authors present the possibility of constructing a neural net...
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ISBN:
(数字)9798350375718
ISBN:
(纸本)9798350375725
This paper deals with the possibility of constructing models neural network spatial and surface of the Earth fields for navigation of uncrewed vehicles. The authors present the possibility of constructing a neural network model of a multigeophysical field based on their combination. An example illustrates the neural network model realization for a relief field.
The statement of the problem of adaptive estimation of the processes having disorders is presented in the paper. The traditional approach and the neural network approach are used to solve the task. In the first of the...
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The problems of implementing IT systems in companies, risks and threats to information security in connection with the use of AI, positive and negative aspects of informatisation for society are considered. The specia...
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The article reviews algorithms used to determine the position and orientation of a wheeled robot based on the odometric data, inertial sensors, and a camera. The authors present mathematical models of robot navigation...
The article reviews algorithms used to determine the position and orientation of a wheeled robot based on the odometric data, inertial sensors, and a camera. The authors present mathematical models of robot navigation for a flat surface. The authors consider the problem solution to exemplify the position determining for a TurtleBot3 Burger mobile robot.
The paper deals with the statement of the nonlinear task of estimating the dynamic system state, unknown parameters, and fractional order. The solution uses the decomposition approach, which includes Kalman filters, w...
The paper deals with the statement of the nonlinear task of estimating the dynamic system state, unknown parameters, and fractional order. The solution uses the decomposition approach, which includes Kalman filters, wavelets, fuzzy systems, neural networks, and their combinations. An example illustrates the problem solution with estimating algorithms accuracy and speed.
The statement and solution of problem of estimating the state, parameters, and fractional order of fractional dynamical systems are given. Extended and unscented fractional Kalman filters are presented. Illustrative e...
The statement and solution of problem of estimating the state, parameters, and fractional order of fractional dynamical systems are given. Extended and unscented fractional Kalman filters are presented. Illustrative examples of using the extended and unscented fractional order Kalman filters are given.
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