This elaboration presents the synthesis of the Takagi-Sugeno type Fuzzy Logic controller realizing the programmable parameters of the state feedback controller together with the steady state current for the active mag...
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The paper presents studies on the effectiveness of the use of solar trackers in mobile platforms of solar panels. It has been proven that the use of solar trackers allows more than doubling the zone of maximum energy ...
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With increasing energy prices, greater attention is being directed towards alternative energy sources. Common households are increasingly adopting photovoltaic systems to reduce their electricity costs. However, many ...
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We propose a method for learning decision makers’ behavior in routing problems using inverse optimization (IO). The IO framework falls into the supervised learning category and builds on the premise that the target b...
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An indirect data-driven control and transfer learning approach based on a data-driven feedback linearization with neural canonical control structures is proposed. An artificial neural network auto-encoder structure tr...
An indirect data-driven control and transfer learning approach based on a data-driven feedback linearization with neural canonical control structures is proposed. An artificial neural network auto-encoder structure trained on recorded sensor data is used to approximate state and input transformations for the identification of the sampled-data system in Brunovsky canonical form. The identified transformations, together with a designed trajectory controller, can be transferred to a system with varied parameters, where the neural network weights are adapted using newly collected recordings. The proposed approach is demonstrated using an academic and an industrially motivated example.
The introduction of autonomous vehicles (AVs) presents a novel approach to regulating and optimising traffic flow through the automated control of AVs. In this context, the AV is defined as the actuator and an optimal...
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The problem of synthesizing reduced order filter, that forms an unbiased estimate of linear functional from an unknown phase vector of a continuous time stochastic system with sampled measurements and additive noises,...
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In the automation control field, the model predictive controller is a modern controller with a simple control method, applied in the process of controlling the robot, motor,... In order to achieve desired quality, the...
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Ultra-wideband (UWB) positioning technology stands out from many indoor positioning technologies with its advantages of high precision. However, non-line-of-sight (NLOS) propagate leads to heavy range error and reduce...
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This paper investigates the problem of searching for a moving object in a bounded area using a multi-agent system of quadrocopter-type aircraft. The Thermal Motion Equivalent Method (TMEM) method is proposed as a cont...
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ISBN:
(数字)9798331532178
ISBN:
(纸本)9798331532185
This paper investigates the problem of searching for a moving object in a bounded area using a multi-agent system of quadrocopter-type aircraft. The Thermal Motion Equivalent Method (TMEM) method is proposed as a control algorithm. The main idea of TMEM is to simulate the behavior of gas particles, where parameters known from thermodynamics, such as RMS velocity and frequency of interactions, are used to evaluate the system stability and swarm task performance. An analogy between aircraft motion and molecular dynamics is achieved by the control system of each agent, which allows them to exchange information. This paper shows the effectiveness of the TMEM method for searching for a moving target in a limited space on the basis of numerous simulations performed in a specially developed MASPlatform environment, which is a virtual polygon. The simulation considers the motion of ten agents in a 10 km
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space, where the dynamics of each agent is described by a system of nonlinear differential equations using a quaternionic controller. The simulation results confirm the effectiveness of TMEM for solving the search problem. The paper also provides estimates of swarm size depending on the size of the search area. An approach for calculating the search time of a TMEM-based system for a moving object with known dynamics in a limited space is proposed. The calculations are based on the thermodynamic parameter “mean free path length”, which is important for real systems with limited energy resources of agents.
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