Results 231 to 240 of about 956,969 (294)

Advances in Crosstalk Reduction Techniques for Ultrasonic Transducer Arrays. [PDF]

Sensors (Basel)
Boujenoui A, El Atlas N, Bybi A, Reskal H, Elmaimouni L.   +4 more
europepmc   +1 more source

Reinforcement learning driven adaptive active frequency drift for fast and reliable islanding detection. [PDF]

Sci Rep
Abo-Khalil AG, Sayed K, Mbungu NT, Elnady A, Ismail AAA, Siti MW.   +5 more
europepmc   +1 more source

Prescribed-Time Leader-Follower Synchronization of Higher-Order Nonlinear Multi-Agent Systems via Fuzzy Neural Adaptive Sliding Control. [PDF]

Sensors (Basel)
Ullah S, Babar MZ, Alghamdi S, Alsafran AS, Kraiem H, Algethami AA.   +5 more
europepmc   +1 more source

Design of modified fractional-order PID controller for lower limb rehabilitation exoskeleton robot based on an improved elk herd hybridized with grey wolf and multi-verse optimization algorithms. [PDF]

Front Robot AI
Mohammed Ali NS, Saleh MH, Abbas NH.
europepmc   +1 more source

Integrated bionic LiDAR for adaptive 4D machine vision. [PDF]

Nat Commun
Chen R, Wu Y, Zhang K, Liu C, Li W, Chen Y, Shen B, Chen Z, Feng H, Ge Z, Zhou Y, Tao Z, Zhang X, Xu W, Wang Y, Cai P, Pan D, Shu H, Zhou L, Wang C, Wang X.   +20 more
europepmc   +1 more source

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Adaptive Signal Processing for Adaptive Control

IFAC Proceedings Volumes, 1983
A few of the well established methods of adaptive signal processing are modified and extended for application to adaptive control. An unknown plant will track an input command signal if the plant is preceded by a controller whose transfer function approximates the inverse of the plant transfer function.
B. Widrow, E. Walach
openaire   +1 more source

Adaptive traffic signal control using fuzzy logic

[Proceedings 1993] Second IEEE International Conference on Fuzzy Systems, 2002
We present a distributed approach to traffic signal control, where the signal timing parameters at a given intersection are adjusted as functions of the local traffic condition and of the signal timing parameters at adjacent intersections. Thus, the signal timing parameters evolve dynamically using only local information to improve traffic flow.
S. Chiu, S. Chand
openaire   +1 more source

Adaptive Traffic Signal Controlling With Transfer Learning

2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON), 2021
Traffic crowding is becoming a serious nuisance in cities and metros. Currently the system used for traffic management is not that efficient because it is static in nature which means it works the same for all the traffic circumstances. This results in an increase in the waiting queue length of vehicles at a traffic intersection. Hence we are proposing
Rupali Pawar, Kirti Tambare, Shweta Shahane, Shravani Pachkor   +3 more
openaire   +1 more source