Dear Editor,Two-dimensional(2-D) systems have wide applications in image data processing,gas absorption and fluid dynamics analysis [1]-[3].When there exist abrupt changes in 2-D systems,they are usually modeled by 2-...
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Dear Editor,Two-dimensional(2-D) systems have wide applications in image data processing,gas absorption and fluid dynamics analysis [1]-[3].When there exist abrupt changes in 2-D systems,they are usually modeled by 2-D Markov jump systems(MJSs) or 2-D semi-Markov jump systems(SMJSs).This letter investigates the control of 2-D SMJSs based on a novel mode generation mechanism,which could avoid mode ambiguousness phenomenon caused by the evolution of system mode in two different *** criterion that guarantees the almost surely exponential stability of the system is obtained.A thermal process is studied to demonstrate the availability of the proposed method.
This paper considers the problem of finding quasi-optimal control for an object with an incomplete mathematical model. The main difficulty in practice is obtaining a system of differential equations that describe the ...
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ISBN:
(数字)9798331517564
ISBN:
(纸本)9798331517571
This paper considers the problem of finding quasi-optimal control for an object with an incomplete mathematical model. The main difficulty in practice is obtaining a system of differential equations that describe the dynamics of an object. In the absence of an accurate verified mathematical model of the system, the use of classical methods of optimal control theory is impossible. To solve the problem, it is proposed to use a neurosimulator of the control object and its use in the Chernousko-Krylov numerical iterative method, based on the Pontryagin maximum principle. This approach makes it possible to find quasi-optimal control for "black box" type objects. An example of using a neurosimulator in the problem of maximizing the output phase variable of a dynamic system when setting restrictions on the control signal and control time is given. A comparative analysis of the results obtained for an object specified using differential equations and its neurosimulator was carried out, and the advantages and disadvantages of this approach were identified.
INSPIRED by the insight from American political scientist Lasswell, who summarized the environmental role in societal surveillance [1], Schramm coined the term “social radar” [2] as it resembles the activities of ra...
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INSPIRED by the insight from American political scientist Lasswell, who summarized the environmental role in societal surveillance [1], Schramm coined the term “social radar” [2] as it resembles the activities of radar in collecting and processing information, playing a crucial role in helping humans perceive changes in the internal and external environment and promptly adjusting adaptive behaviors.
In robotic control sectors, the image-based visual servo method is an advanced approach used to control the robot to the desired position by using pixels from cameras. We can control the robot flexibly to achieve high...
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Multi-agent systems have advantages over single vehicles when performing scalable tasks, such as area monitoring. For area monitoring it is reasonable to use a heterogeneous multi-agent system, where part of the agent...
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ISBN:
(数字)9798331517564
ISBN:
(纸本)9798331517571
Multi-agent systems have advantages over single vehicles when performing scalable tasks, such as area monitoring. For area monitoring it is reasonable to use a heterogeneous multi-agent system, where part of the agents has on board optical sensors to search for objects, and the remaining agents have a device for interaction with the found objects, for example, a capture device. In this case, it is useful to provide monitoring by formations of agents, such as pairs of agents with optical sensors and capture devices to enable the multi-agent system to respond to found objects as quickly as possible. A swarm control method, named the thermal motion equivalent method, was previously proposed to solve the problem of searching for objects in an unknown environment. This method induces agents to Brownian chaotic motion in a given area. In this paper, a method of coupling and synchronization of agent motion is proposed to solve the formation problem. The quality of the method is evaluated by numerical simulation of a nonlinear model of the agent. Numerical simulation results are also presented, considering the data transmission delays in the agent network. The simulation results show the stability of the multi-agent system and formation of several agents.
One of the directions of development of methods for group control of swarm agents is formation. Formation of agents is useful in solving transport problems, navigation problems and others. Currently, there are various...
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ISBN:
(数字)9798350389234
ISBN:
(纸本)9798350353051
One of the directions of development of methods for group control of swarm agents is formation. Formation of agents is useful in solving transport problems, navigation problems and others. Currently, there are various approaches for controlling agent formations such as virtual leader method, vector method and potential field method. However, these methods usually show good results only under certain conditions and tasks. One of the methods of group control is the thermal motion equivalent method, the current development of which provides the Brownian character of the agents’ motion. Mutual relative energetically inefficient oscillations arise between the agents when the method is used in the formation problem. The synchronization of the agents’ motion proposed in the paper eliminates the mutual oscillations and preserves the swarm stability. One of the advantages of the proposed controller is the absence of the need for complete information about the system. The workability of the proposed solution is demonstrated by numerical simulation using a simplified linear model of the agent - a quadrocopter. The numerical simulations conducted with a linear quadcopter model demonstrate the method’s effectiveness, even when facing external disturbances and interacting with other autonomous agents.
In this paper, we explore how to use a Nvidia Jetson Nano and Python to create a system that detects weariness in a person’s face using computer vision and machine learning techniques. The system captures the person...
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In this paper, we explore how to use a Nvidia Jetson Nano and Python to create a system that detects weariness in a person’s face using computer vision and machine learning techniques. The system captures the person’s face in real time, preprocesses the picture to cut noise, then detects the face using Haar cascades. Next, using computer vision algorithms, characteristics associated with weariness, such as the eyes, are retrieved. These characteristics are then used to build a machine learning model that can predict weariness in the live stream feed. Lastly, using a graphical user interface, the findings are shown, and the system may be fine-tuned to increase accuracy. This device might be used in applications such as driver monitoring and traffic safety.
The paper presents software that allows a user to control and program a robot using virtual reality. The user will be equipped with a Virtual Reality kit and will be able to use it to manipulate the robot arm as if th...
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ISBN:
(数字)9798350362343
ISBN:
(纸本)9798350362350
The paper presents software that allows a user to control and program a robot using virtual reality. The user will be equipped with a Virtual Reality kit and will be able to use it to manipulate the robot arm as if they were physically interacting with it. One key feature of the software will be the ability to set the robot in a specific position, allowing the user to create and execute complex movement sequences for the robot to follow. The use of VR technology in this context offers a unique and immersive way for users to interact with and program the robot, making it an exciting and innovative approach to robotic control.
This paper addresses the key question that when faults occur either the aircraft system dynamics changes due to the fault or these dynamics are unknown (precisely). This question is addressed for the important case of...
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This paper addresses the key question that when faults occur either the aircraft system dynamics changes due to the fault or these dynamics are unknown (precisely). This question is addressed for the important case of Air Data Sensor failures, due to e.g. icing, for fixed wing aircraft operating in a nominal fight condition. The solution to this question uses basic ideas from subspace Identification to cast this problem in linear least squares problem with convex constraints (nuclear norm and 1-norm constraints). The latter are relaxations of a rank and cardinality constraint. The presented solution is validated using real-life fight test data.
The design of swing and stance control for path following of a prosthetic leg robot subject to uncertain dynamics and exterior disturbances is a serious issue, which affects the development of wearable robots. In wear...
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