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The article gives consideration to the problem of the open dynamic systems' modeling. We propose its solution with the help of stochastic systems of differential equations. We provide the methodology of modeling and analyze the certain example.
This paper reviews the literature of technology assessment published over 1977 to 2016 to identify the major research themes over the past four decades. We retrieve 5493 articles from the Web of Science database and construct the citation network among them. By applying the edge-betweenness clustering technique to the citation network and splitting the data into groups, 4 major groups with more than...
This paper explores the predictive power of perhaps the most well-supported human performance model in the context of a complex ecological task. The model is Fitts Law, which describes the classic speed-accuracy tradeoff of goal-directed motor behavior. The task is modern pistol shooting competition, which demands explicit cognitive strategy and full-body biomechanical coordination. Data obtained...
This paper is concerned with the sliding mode control of decaying-dimerizing system with three molecular species and four reaction channels. An integral sliding surface is designed, and the resulting dynamics is a nonlinear biochemical reaction system. By introducing some specified matrices, a sufficient condition is proposed in terms of strict linear matrix inequality (LMI), which guarantees the...
In this paper, bio-inspired models are introduced, combining with the backstepping control. A three-dimensional dynamic velocity trajectory tracking controller is designed. In order to solve the problem of “differential explosion” in the backstepping control of the underactuated unmanned underwater vehicle (UUV) three-dimensional trajectory tracking and reduce the complexity of the dynamics controller,...
The healthy human nervous system accurately and robustly controls movements despite nonlinear dynamics, noise, and delays. After a stroke, motor ability frequently becomes impaired. To provide insight into the relative impact of specific sensorimotor deficits on motor performance, we modeled neural control of reaching with the human upper limb as a near-optimally feedback-controlled two-degree-of-freedom...
Indoor localization techniques proposed to date have assumed costly resources in terms of computation, power, or sensing modality for many wearable end-devices in the Internet of .ings (IoT). To make localization a universal feature for IoT devices, we propose EcoLoc, an indoor localization system using collaborative version of Conditional Random Fields (CCRF) integrated with our encounter model to...
Spiral waves of electrical excitation appear in many physical, chemical and biological active media, and it is especially important to study spiral waves in the myocardium because they arise only in dangerous arrhythmias and therefore must be eliminated. It is known that spiral waves disappear when moving toward the medium boundary. Inducing spiral waves to drift towards the boundary is one of the...
In the article the game-theoretic model of limited resource extraction by competitive enterprises in terms of differential non-zero sum games is considered. The Nash equilibrium is found and the cooperative variant of the game investigated, the Shapley value constructed and its dynamic stability (time-consistency) investigated. As the results of this work were found the conditions on the input parameters...
In this paper, a 3-player cooperative differential game with negative externalities is considered. We assume constant constraints on controls. For this game, a delta-characteristic function is constructed. Numerical example of such delta-characteristic function is presented.
This report contributes to the modeling of GDP's per capita trajectories of the world's largest countries using nonlinear trend-stationary models. Three main clusters of countries are identified and the lack of convergence of their trajectories is shown. A significant shift of the trajectory for the G7 countries is shown under the impact of the 2008 crisis. As the factors of this shift, trends in...
System sensitivity analysis (SSA) is a mathematical method used in the study of behaviour of dynamic systems. From engineering practice is well known that a dynamic system did not respond in the same way to all external stimulus (command or disturbance). The results of SSA study for anaerobic digestion bioprocess, provides important information for synthesis of control system. Also, it is possible...
In this paper, the falsification of predefined requirements of a control system is formulated as an optimal control problem. We propose a framework that can be used to design input trajectories such that multiple requirements can be falsified by a single test trajectory. Furthermore, an algorithm based on gradient techniques is proposed for unknown nonlinear systems. A numerical example, treating...
We build an ubiquitous abnormal activity detection system, namely NotiFi, for accurately detecting the abnormal activities on commercial off-the-shelf (COTS) IEEE 802.11 devices. In contrast to the traditional wearable sensor based and computer vision based systems which require additional sensors or enough lighting in line-of-sight (LoS) scenario, we proceed directly with abnormal activity characterization...
This article describes the design and implementation of a Biologically-Inspired Optimal Control Strategy (BIO-CS) for hybrid energy systems. The proposed strategy mimics the ant's rule of pursuit idea in combination with optimal control and multi-agent concepts. This novel approach is developed to address coupling effects among different components of a cyber-physical fuel cell-gas turbine hybrid...
The use of extrinsic stimulation to control activity in neuronal networks i.e., neurocontrol, is a key problem in control engineering and neuroscience. Here, we study the general problem of selective spiking in a population of neurons. The goal is to use an input stimulus in order to induce a spike in a specific neuron of a population while keeping all others suppressed. We formulate a strict version...
This paper shows a detailed modeling process for a hexacopter, taking as a control variables, the force and torques actuating on the vehicle. It also shows the hexacopter equilibrium manifold, with some numerical results that evidence the symmetry along the x and y axis. Finally, a nonlinear optimal control problem is formulated in order to see the hexacopter maneuverability capabilities, showing...
The central nervous system directs a large number of muscles to produce complex motor behaviors. By using Artificial neural networks (ANNs) where more number of hidden layers are used for learning a specific task, we propose a method to understand the representations of neuromuscular control in the central nervous system as representations of movement plans that are eventually executed by the spinal...
This paper presents preliminary results for motion behavior analysis of Madagascar hissing cockroach biobots subject to stochastic and periodic neurostimulation pulses corresponding to randomly applied right and left turn, and move forward commands. We present our experimental setup and propose an unguided search strategy based stimulation profile designed for exploration of unknown environments....
Accurate prediction of clinical changes of Mild Cognitive Impairment (MCI) patients at future time points is important for early diagnosis and possible prevention of Alzheimer's disease (AD). In this paper, future clinical changes in Neuropsychological Measures (NM) of MCI patients are estimated via three different predictive models employing linear regression and extrapolation. The completed time...
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