Results 251 to 260 of about 855,672 (314)

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

open access: yesAdvanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam   +2 more
wiley   +1 more source

A Bioresorbable Neural Interface for On‐Demand Thermal Pain Block

open access: yesAdvanced Functional Materials, EarlyView.
Bioresorbable, implantable neural electronics provide dynamic, on‐demand thermal modulation of peripheral nerves for safe, drug‐free pain relief. A microscale thin‐film heater and temperature sensor embedded within biodegradable encapsulants enable precise temperature control via real‐time feedback.
Jeonghwan Park   +23 more
wiley   +1 more source

Elastic feedback control

Proceedings 12th Euromicro Conference on Real-Time Systems. Euromicro RTS 2000, 2002
In many real time control applications, the task periods are typically fixed and worst case execution times are used in schedulability analysis. With the advancement of robotics, flexible visual sensing using cameras has become a popular alternative to the use of embedded sensors. Unfortunately, the execution time of visual tracking varies greatly.
Marco Caccamo   +2 more
openaire   +2 more sources

Cooperative-feedback control

ISA Transactions, 2007
In this work a control structure capable of handling controllability problems, which emerge from the presence of constraints, and improve the performance of the system by coordinating the use of several manipulated variables is introduced. In this scheme, the primary manipulated variable is used to handle the transient response while the auxiliary ...
openaire   +3 more sources

Predictive feedback control

ISA Transactions, 2003
In this work a new method for designing predictive controllers for linear single-input/single-output systems is presented. It uses only one prediction of the process output J time intervals ahead to compute the correspondent future error. Then, the predictive feedback controller is defined by introducing a filter which weights the last w predicted ...
openaire   +3 more sources

Feedback control of canards

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2008
We present a control mechanism for tuning a fast-slow dynamical system undergoing a supercritical Hopf bifurcation to be in the canard regime, the tiny parameter window between small and large periodic behavior. Our control strategy uses continuous feedback control via a slow control variable to cause the system to drift on average toward canard orbits.
Joseph, Durham, Jeff, Moehlis
openaire   +2 more sources

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