Results 81 to 90 of about 427,912 (276)
Boundedness of solutions of matrix nonlinear volterra difference equations
Discrete Dynamics in Nature and Society, 2002 Nonlinear discrete-time Volterra equations in a Euclidean space are considered. Conditions for the boundedness of solutions are established by virtue of recent estimates for the norm of the resolvent of Volterra operators.
Michael I. Gil', Rigoberto Medina
doaj +1 more source
Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies
Advanced Robotics Research, EarlyView.An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley +1 more source
On the Euclidean operator radius and norm [PDF]
, 2023 In this paper, we show several bounds for the numerical radius of a Hilbert space operator in terms of the Euclidean operator norm. The obtained forms will enable us to find interesting refinements of celebrated results in the literature. Then, the $f$-
Moradi, Hamid Reza +2 more
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A low complexity Euclidean norm approximation
, 2019 The need for real-time computation of the Euclidean norm of a vector arises frequently in many signal processing applications such as vector median filtering, vector quantization and multiple-input multiple-output wireless communication systems.
Seol, C, Cheun, K
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Advanced Robotics Research, EarlyView.Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings +6 more
wiley +1 more source
Riemannian Optimal Model Reduction of Stable Linear Systems
IEEE Access, 2019 In this paper, we develop a method for solving the problem of minimizing the H2 error norm between the transfer functions of the original and reduced systems on the product set of the set of stable matrices and two Euclidean spaces. That is, we develop a
Kazuhiro Sato
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Autonomous Navigation of Pollen‐Inspired Magnetic Microrobots for Biomedical Applications
Advanced Robotics Research, EarlyView.A sunflower pollen‐inspired magnetic microrobot enables controlled rolling navigation in vessel‐like environments. Its open geometry reduces hydrodynamic drag, while vision‐based closed‐loop control, shortest‐path planning, and reinforcement learning support target‐reaching and maze navigation with microrobot‐scale accuracy, highlighting a route toward
Ali Anil Demircali +6 more
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Revisiting the Definition of Vectors—From ‘Magnitude and Direction’ to Abstract Tuples
FoundationsVectors are almost always introduced as objects having magnitude and direction. Following that idea, textbooks and courses introduce the concept of a vector norm and the angle between two vectors.
Reinout Heijungs
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Norm estimates for inverses of Euclidean distance matrices
, 1992 In this paper, we obtain a better estimate for the norm of inverses of Euclidean distance matrices of low ...
Sun, Xingping
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Nonreciprocal Swarmalators With Reconfigurable and Controllable Formations for Robot Collectives
Advanced Robotics Research, EarlyView.Nonreciprocal swarmalator interactions are enabled through control barrier functions to transform self‐organizing robot collectives into reconfigurable, constraint‐aware systems. Complex two‐ and three‐dimensional shapes, continuous morphing, obstacle‐aware navigation, collective splitting, and object transport emerge from modulating agent‐level ...
Kush Patel +3 more
wiley +1 more source