In order to solve the path planning problem of Unmanned Ground Vehicle (UGV) in cross-country condition, the influence of different terrain and slope on UGV mobility was studied. The Spectral Angle Mapper (SAM) algori...
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Model mismatch often presents significant challenges in model-based controller design. This paper investigates model predictive control (MPC) for uncertain linear systems with input constraints, where the uncertainty ...
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This paper mainly completes a research on real-time optimal path planning and guidance method for ground targets to be evaded, proposes an artificial repulsive field modeling method for different area sizes and differ...
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Segment anything model (SAM) is the first foundation model in computer vision, following the footsteps of natural language processing. Based on SAM, researchers have conducted a suite of works on a variety of applicat...
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ISBN:
(数字)9798350384185
ISBN:
(纸本)9798350384192
Segment anything model (SAM) is the first foundation model in computer vision, following the footsteps of natural language processing. Based on SAM, researchers have conducted a suite of works on a variety of applications in the past year, including image segmentation, object detection, image editing, video object tracking, etc. This paper conducts a comprehensive review on the works derived from SAM and makes a comparison concerning computational efficiency, model size, and the quality of the processing results. A bunch of evidenceable results indicates that the visual foundation model is able to advance vision task performance, and it is worth further exploring the application mode from the edge equipment. Finally, future developing trend on visual foundation model is discussed and concluded.
Indoor Unmanned Aerial Vehicles have often been tasked with performing SLAM, and the sensors most used in literature and industry have been cameras. Spanning from stereo to event cameras, visual algorithms have often ...
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In the shallow sea environment, array of small array elements may not be able to accurately locate targets due to undersampling. To address this issue, the paper proposed a method called sound field extension based on...
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The rocket has a variety of working modes after delivery, and according to its unique aircraft characteristics, this paper proposes an exponentially smooth rocket mode switching algorithm. The fixed delay caused by mo...
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This paper presents a study of the autonomous guidance reconfiguration of a launch vehicle, which improves the adaptability of the launch vehicle after the thrust drop fault with the online replanning of the transfer ...
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This paper investigates the problem of iterative learning control in sensor/actuator networks for hyperbolic distributed parameter systems with time delays. For systems with known delays, this study firstly proposes a...
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We develop the resilient observer-based event-triggered control update strategy in this *** is utilized to achieve the input-to-state stability(ISS) of cyber-physical systems(CPSs) when there is an asynchronous de...
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We develop the resilient observer-based event-triggered control update strategy in this *** is utilized to achieve the input-to-state stability(ISS) of cyber-physical systems(CPSs) when there is an asynchronous denial-of-service(DoS) attack, which is launched by malicious adversaries both on measurement channel and control channel in a random attack strategy. To estimate the unmeasurable states while saving the limited networked bandwidth, an H∞observer-based event-triggered control scheme is first designed to guarantee the ISS of CPSs with economic communication. Moreover, the occurrence of Zeno behavior can be eliminated by providing the existence of a lower positive bound of any two inter-event times. Then, a recursive model of asynchronous DoS attacks is introduced. A resilient control update strategy is proposed and further analyzed to derive the stability criterion of CPSs. At last, a numerical simulation example is given to demonstrate the effectiveness of the introduced control update policy.
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