The rapid advancements in edge computing have opened new avenues for optimizing real-time control systems in maritime environments. Traditional centralized systems face challenges such as high latency, limited scalabi...
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automation is the technique to reduce manpower. automation can be done using a microcontroller-based system to monitor and control production operations. Many advanced versions of Loom Data Monitoring such as Automati...
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In this paper, we investigate the reactive control synthesis problem for discrete-time dynamic systems under signal temporal logic (STL) specifications. Our focus is on addressing this problem within the model predict...
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ISBN:
(纸本)9798350358513;9798350358520
In this paper, we investigate the reactive control synthesis problem for discrete-time dynamic systems under signal temporal logic (STL) specifications. Our focus is on addressing this problem within the model predictive control (MPC) framework, which involves iteratively solving optimization problems at each time instant. Traditional MPC controllers for STL tasks necessitate sampling the system state at every time instant. To mitigate sensing costs and conserve communication bandwidth during sensor measurement transmission, we introduce a novel concept termed self-triggered MPC for STL tasks. Our proposed approach aims to reduce the overall sampling rate of the system, resulting in considerable energy savings. We provide case studies to demonstrate the effectiveness of the proposed algorithm.
In this modern age, everything is converting to smart systems where people want to be able to conveniently monitor and control processes. In this regard, indoor substation monitoring and control is also very important...
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ISBN:
(纸本)9798350395334;9798350395327
In this modern age, everything is converting to smart systems where people want to be able to conveniently monitor and control processes. In this regard, indoor substation monitoring and control is also very important in the upcoming 4th generation automation system. In this paper, a prototype of an indoor substation system was developed that could be monitored and controlled from any location using a variety of sensors with the help of Internet of Things (IoT). In monitoring part, temperature, voltage, power factor and the load current through the relay can be remotely monitor. The system is also capable of operating automatically when any incident occurs. Additionally, how both monitoring and controlling operation can be accomplished was demonstrated through the use a mobile application. The design and implementation had been done in such a way that safety was prioritized, so that accident would not occur. By adding bunch of features, this project has been designed within a very low cost. Finally, all the initial goals have been achieved successfully.
Interplanetary rovers are vital for exploring space, performing tasks like traversing terrain and collecting samples. They are essential for missions to Mars, planned moon expeditions, and proposed exploration of othe...
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ISBN:
(纸本)9798350385939;9798350385922
Interplanetary rovers are vital for exploring space, performing tasks like traversing terrain and collecting samples. They are essential for missions to Mars, planned moon expeditions, and proposed exploration of other celestial bodies. Planetary terrains pose challenges for navigation. Effective motor control systems, like PI speed control, are crucial for smooth and precise operation, enhancing rover performance in diverse extraterrestrial environments. The uneven terrain present in interplanetary environments provides disturbances to the motor, causing it to slow down or speed up erratically. In order to address these malfunctions, a proper control system is necessary. A closed-loop controller is necessary to run the motor at the desired set speed despite the disturbances present. This paper investigates a simulated model of a GA12-N20 12V DC motor, modelled on Simulink. The model is established through the estimation of motor parameters, utilizing the parameter estimation app on Simulink, to closely mimic real-world behaviour. During our investigation, we have utilized a Simulink model of the motor, constructed by deriving motor parameters through optimization techniques, and simulating the step response of the system. This has enabled to fine-tune the motor using Proportional-Integral (PI) controller and achieve the desired response. Following the tuning of the PI controller, we derived a specific set of K-p and K-i values, facilitating effective control of the DC motor's speed, particularly in navigating through disturbances encountered in the interplanetary environment's terrain.
To reduce the sensor utilization and improve security in data communication without undermining the control decisions, the supervisory controller dynamically adjusts which set of events needed to observe in response t...
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ISBN:
(数字)9781665495721
ISBN:
(纸本)9781665495721
To reduce the sensor utilization and improve security in data communication without undermining the control decisions, the supervisory controller dynamically adjusts which set of events needed to observe in response to its previous observations. In previous work, building upon existing methods for computing a transition-based minimal sensor activation policy, algorithms for computing the set of all minimal transition-based sensor activation policies are developed. In this paper, we extend this result for networked supervisory controls, in which delays are involved in implementing control decisions.
Herding is performed by people or trained animals to control the movement of livestock under the desired direction of an operator. This paper presents a novel decentralized control strategy for a group of robots to he...
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ISBN:
(数字)9798350384574
ISBN:
(纸本)9798350384581;9798350384574
Herding is performed by people or trained animals to control the movement of livestock under the desired direction of an operator. This paper presents a novel decentralized control strategy for a group of robots to herd animals which consists of two phases, a surrounding phase and a driving phase. In the surrounding phase, a custom artificial potential field is employed to simultaneously guide the robots to encircle the herd by tracking the outmost animals and maintaining a safe distance from other neighboring robots. Once the encirclement is complete, the robots transition to drive the animals toward a designated goal by simply maintaining their initial formation and traversing to it. Unlike existing works on herding using flocking control, local observations of the nearest animals and communication with other robots within the sensing range are the only requirements for the robots to surround and herd the animals effectively. Moreover, the animal-robot behavior model resembles the interaction of livestock in the presence of an external predatory threat, where robots act as predators. An analytical proof and empirical results collected from different simulators demonstrate that the proposed control enables the robots to converge around the boundary of the animals and guide them toward the designated goal.
Edge computing sinks part of the central station's computational processing work to the edge node, which can reduce the resource overhead of the central station's servers and other equipment, alleviate the com...
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Reinforcement mastering is an area of synthetic intelligence that enables machines to adopt actions that optimize their environment or maximize a pre-defined reward. This paper investigates the potential makes use of ...
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This paper mainly considers the wireless communication scenario where equipment in different working conditions switches its channel state in the actual industrial field. To address the problem of uncertain communicat...
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