This paper presents an approach to implementing a cloud-based smart home monitoring system using the ESP32 microcontroller and ThingSpeak as the cloud platform. The proposed system provides an efficient solution for r...
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Research of discrete event systems is strongly motivated by applications in flex ible manufacturing, in traffic control and in concurrent and real-time software verification and design, just to mention a few imp...
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ISBN:
(数字)9783034891202
ISBN:
(纸本)9783034899161
Research of discrete event systems is strongly motivated by applications in flex ible manufacturing, in traffic control and in concurrent and real-time software verification and design, just to mention a few important areas. Discrete event system theory is a promising and dynamically developing area of both control theory and computerscience. Discrete event systems are systems with non-numerically-valued states, inputs, and outputs. The approaches to the modelling and control of these systems can be roughly divided into two groups. The first group is concerned with the automatic design of controllers from formal specifications of logical requirements. This re search owes much to the pioneering work of P.J. Ramadge and W.M. Wonham at the beginning of the eighties. The second group deals with the analysis and op timization of system throughput, waiting time, and other performance measures for discrete event systems. The present book contains selected papers presented at the Joint Workshop on Discrete Event Systems (WODES'92) held in Prague, Czechoslovakia, on Au gust 26-28, 1992 and organized by the Institute of Information Theory and Au tomation of the Czechoslovak Academy of sciences, Prague, Czechoslovakia, by the automaticcontrol Laboratory of the Swiss Federal Institute of Technology (ETH) , Zurich, Switzerland, and by the Department of Computing science of the University of Groningen, Groningen, the Netherlands.
This paper addresses the problem of implementing predictive controllers for supervisory level control systems. In this configuration the manipulated variables calculated by the Predictive controller are used as comman...
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In this paper, we propose the novel emotional engine like human's emotion and its parameter tuning using by hybrid system bacterial foraging (BF) and agent machine learning. The most general method uses neural net...
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ISBN:
(纸本)9781424444779
In this paper, we propose the novel emotional engine like human's emotion and its parameter tuning using by hybrid system bacterial foraging (BF) and agent machine learning. The most general method uses neural networks to classify emotion by using speech and face image data for human's emotion recognition. But high-dimension and large size of this data cause low-speed learning of neural network. The main idea of the proposed method is to suggest emotion engine and to express emotion by hybrid system composed of bacterial foraging and multi-agent system. Experimental result shows that this method can achieve better performance for human's emotion recognition than others and express emotion.
It is attractive to extract and determine the key features of traffic patterns for mitigating road congestion and predicting travel time of vehicles in traffic analysis. Based on previous works that is a scalable appr...
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In this paper is described possibility of nondestructive diagnostics of solid objects by software analysis of vibration spectrum. With using platform MATLAB, we can process and evaluate information from accelerometer,...
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Artificial intelligence is increasingly becoming important to businesses since many companies have realized the benefits of applying Machine Learning (ML) and Deep Learning (DL) into their operations. Nevertheless, ML...
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This paper proposes a solution for solving a specific problem that requires a team of identical robots to collect in a specific order different types of resources scattered throughout an environment. A Petri net with ...
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This paper proposes a solution for solving a specific problem that requires a team of identical robots to collect in a specific order different types of resources scattered throughout an environment. A Petri net with outputs models the environment, the team possible movements and the regions with resources. An iterative solution plans the team such that each robot collects and assembles resources in the required order. Each iteration step is based on a linear programming problem that is guaranteed to return a feasible firing vector for the Petri net system. A pseudocode description of the procedure is given and a simulation example is included.
Speech recognition is being addressed as one of the key technologies for a natural interaction with robots, that are targeting in the consumer market. However, speech recognition in human-robot interaction is typicall...
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In this paper, a novel approach to visual servo control robotic systems is proposed. It is focused on developing a solution using 3D point features without recovering the rigid object’s pose. Pose-free motion is achi...
In this paper, a novel approach to visual servo control robotic systems is proposed. It is focused on developing a solution using 3D point features without recovering the rigid object’s pose. Pose-free motion is achieved using motion parameterization techniques based on dual numbers and dual vectors. Considering an imposed velocity field over the motion of the 3D point features ensemble, this work proposes a close-form solution to a visual servoing problem. The solution provides stable motion control while preserving the image features in the field of view. However, when some point features leave the field of view, their contribution to the control law is dropped without losing stability. The proposed solution is easy to tune and implement. Various scenarios are used in simulations and real experiments to show how the proposed solution overcomes classic servoing problems.
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