Results 121 to 130 of about 816,103 (361)
A Hybrid Controller for a Soft Pneumatic Manipulator Based on Model Predictive Control and Iterative Learning Control. [PDF]
Dai Y, Deng Z, Wang X, Yuan H.
europepmc +1 more source
We describe a microfluidic tumor‐stroma co‐culture model, engineered to resist collagen‐hydrogel contraction driven by fibroblast activity. Surface silanization with APTES covalently anchors the matrix to the chip, while Genipin crosslinking progressively increases stiffness and elasticity without harming cells. This supports >10 days of co‐culture and
Doriane Le Manach +4 more
wiley +1 more source
H∞ and guaranteed cost control of discrete linear repetitive processes
Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest.
Owens, D H +7 more
core +1 more source
On Iterative Learning Control for Remote Control Systems with Packet Losses
The problem of iterative learning control (ILC) is considered for a class of time-varying systems with random packet dropouts. It is assumed that an ILC scheme is implemented via a remote control system and that packet dropout occurs during the packet ...
Chunping Liu +3 more
doaj +1 more source
Learning of Iterative Learning Control for Flexible Manufacturing of Batch Processes. [PDF]
Xu L +5 more
europepmc +1 more source
Surface‐host dialogue at the implant interface governs biological fate and osseointegration. Surface physicochemical properties of titanium (Ti) dental implants, including microgrooves, nanopatterns, nanotopography, roughness, and wettability, modulate the initial adsorption of proteins and the formation of a dynamic biointerface.
Daniela Moreira Cunha +9 more
wiley +1 more source
Frequency domain iterative tuning for active noise and vibration control [PDF]
In this thesis a new adaptive control method, called Iterative Tuning in the Frequency Domain (FD-IT), is proposed for Active Noise and Vibration Control (ANVC).
Luo, Jian
core
Data-driven optimal terminal iterative learning control
This paper presents a data-driven optimal terminal iterative learning control (TILC) approach for linear and nonlinear discrete-time systems. The iterative learning control law is updated from only terminal output tracking error instead of entire output ...
Chi, Ronghu +3 more
core +1 more source
Velocity Tracking Control of Wheeled Mobile Robots by Iterative Learning Control
This paper presents an iterative learning control (ILC) strategy to resolve the trajectory tracking problem of wheeled mobile robots (WMRs) based on dynamic model.
Xiaochun Lu, Juntao Fei
doaj +1 more source
Physiologic Data-Driven Iterative Learning Control for Left Ventricular Assist Devices. [PDF]
Magkoutas K +3 more
europepmc +1 more source

