Widespread deployment of multicast depends on the existence of congestion control protocols that are provably fair to unicast traffic. In this work, we present an optimization-based congestion control mechanism for single-rate multicast communication with provable fairness properties. The optimization-based ...
Birattari, M., Ligot, A. & Hasselmann, K. Disentangling automatic and semi-automatic approaches to the optimization-based design of control software for robot swarms.Nat Mach Intell2, 494–499 (2020). https://doi.org/10.1038/s42256-020-0215-0 ...
For verification, the results of the proposed GWO-based modified SPWM control scheme are compared with those obtained using both the Particle swarm Optimization (PSO) and Genetic algorithm (GA) used in the literature. Simulation results declared that the proposed control scheme improves performance, ...
PanelBasedOptimizationControl 属性 IsSupported Panel PhotoConfirmationControl RedialRequestedEventArgs RedialRequestedEventHandler RegionOfInterest RegionOfInterestType RegionsOfInterestControl SceneModeControl SendCommandStatus TelephonyKey TorchControl VideoDeviceController ...
It can have various roles in the operation and control of power systems, such as scheduling power flow; decreasing unsymmetrical components; reducing net loss; providing voltage support; limiting short-circuit currents; mitigating subsynchronous resonance (SSR); damping the power oscillation; and ...
This chapter presents a predictive closed-loop flow control mechanism, which is used to predict the congestion level in the network. Based on this information, the proposed scheme controls the packet injection rate at traffic sources in order to regulate the total number of packets in th...
OpTaS is an OPtimization-based TAsk Specification library for trajectory optimization and model predictive control. Code:https://github.com/cmower/optas Documentation:https://cmower.github.io/optas/ PyPI:https://pypi.org/project/pyoptas/
To control flyrock distance in open-pit mines, blast design parameters, also known as controllable parameters, have been suggested. These parameters include hole diameter (d), powder factor (PF), burden (B), explosive charge per meter (CPM), and stemming length (ST) (Workman and Calder, 19...
where ut is the control vector, wt is the process noise, and wt~Ν(0,Qt), Qt is the variance. The IMU status is expressed as a 16-dimension vector. 𝑥I=[𝑞̲𝑇WI 𝑝ITW 𝑣ITW 𝑏T𝑔 𝑏T𝑎]T xI=[q¯TWI pITW vITW bgT baT]T (2) where 𝑞̲𝑇WIq...
To carry out the effective task, an effective PID control based on fuzzy logic has been employed together with the method of Particle Swarm Optimization (PSO) approach for the estimate of the parameter. This offline technique determines the lowest number of optimal robotic arm control parameters. ...