This article presents the design and application of an Arduino UNO-based system incorporating nine red Light Emitting Diodes (LEDs) and a temperature and humidity sensor (DHT22) for research on mesenchymal stem cells ...
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Brain-computer interface (BCI) technology, particularly those based on electroencephalography (EEG), holds significant potential for controlling powered lower limb exoskeletons in rehabilitation contexts. This study i...
This work proposes an event-triggered model-free adaptive sliding mode control (smc) strategy for a class of discrete-time nonlinear networked control systems. Under the data-driven framework, a nonlinear dynamic line...
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In this paper, we investigate the motion of wheeled mobile robots on rough terrains modeled as noisy nonholonomic constraints. Such constraints are the natural extension of ideal nonholonomic constraints when the Stra...
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The intentional design and fitting of intelligent autonomous systems (IAS) swarms to operating environments is a system of systemsengineering priority. IAS are artificial, physical systems that modify their behaviors...
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ISBN:
(纸本)9798350365924;9798350365917
The intentional design and fitting of intelligent autonomous systems (IAS) swarms to operating environments is a system of systemsengineering priority. IAS are artificial, physical systems that modify their behaviors in response to environmental stimuli, without needing external approval: a swarm, or cooperative team, of IAS is, therefore, a system of systems. Importantly, the extent to which the structure of an IAS swarm fits its operating environment, particularly how it cooperatively coordinates task performance, is a significant determinant of group performance and mission accomplishment. This study computationally investigated the impact of three cooperative coordination designs on swarm performance, using the scenario of monitoring for and reporting indications of illegal, unreported, and unregulated fishing activities. Consistent with expectations, a design characterized by greater decentralized decision-making and employment of distributed, differentiated specializations outperformed other designs. Future studies should explore the impacts of these cooperative coordination designs on the performance of other swarm missions and assess the relevancy of the designs in field experimentation.
In this work, we explore the use of the Koopman operator for controlling nonlinear dynamic systems. By applying deep variational learning techniques, we probe the existence of multiple Koopman operators in an extended...
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ISBN:
(纸本)9798350385731;9798350385724
In this work, we explore the use of the Koopman operator for controlling nonlinear dynamic systems. By applying deep variational learning techniques, we probe the existence of multiple Koopman operators in an extended state space. Our investigation reveals that different operators can differently influence the success of control strategies, as shown through our experiments with pendulum systems. We find that selecting an optimal Koopman operator is crucial for effective control in settings where a model is not explicitly defined. To address this, we propose an optimization algorithm that combines offline Bayesian optimization with an online adaptive method. This dual-phase strategy not only pinpoints the most suitable operator but also guarantees the stability of the system in real-time, presenting a new direction for the analysis and model-free control of nonlinear dynamics.
This study examines a three-phase, three-wire shunt active filter (SAF) integrated with the grid via an LCL filter, which mitigates distortions induced by the high switching frequency of the voltage source inverter (V...
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This research presents a comprehensive analysis of quadrotor stabilization and trajectory tracking control using Proportional-Integral-Derivative (PID) and Sliding Mode Control (smc) with integrated disturbance reject...
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This paper presents a preliminary analysis of an Indoor Positioning system (IPS) designed for forklifts using Wi-Fi signal fingerprinting and the K-Nearest Neighbors (KNN) algorithm. The system utilizes M5stack (ESP32...
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This study proposes a robust Sliding Mode Control algorithm, utilizing a Nonlinear Disturbance Observer (smcNDO) to enhance the trajectory tracking performance of quadrotor Unmanned Aerial Vehicles (UAVs) in the prese...
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