The phrase "articulation control" is correct and usable in written English.
It can be used in contexts related to speech, communication, or mechanical systems where precise movement or expression is required.
Example: "The speech therapist focused on improving the child's articulation control to enhance their clarity of speech."
Alternatives: "speech clarity management" or "pronunciation regulation".
The advantage of using cerebellar model articulation control (CMAC) network has been well documented in many applications.
The two craft are nearly identical, down to their redundant sets of three computers: the flight data subsystem, the computer command subsystem, and the attitude and articulation control subsystem.
The adaptive output recurrent cerebellar model articulation control (AORCMAC) is an adaptive system with simple computation, good generalization capability and fast learning property.
In this paper, we propose a sensorless wind energy conversion system (WECS) maximum wind power point tracking using Takagi Sugeno fuzzy cerebellar model articulation control (T-S CMAC).
Here we report measurements of the total mass density (gas plus dust, a combination not reported before except in the engineering literature) deduced from telemetry of Cassini's Attitude and Articulation Control System (AACS), as the spacecraft's thrusters or reaction wheels worked to maintain the desired attitude in the presence of drag torques during close flybys.
These errors include dysfunction not only of the velopharyngeal sphincter, but also of the entire vocal tract and higher levels of articulation control in the central nervous system [ 23].
A direct adaptive output feedback CMAC (cerebellar model articulation controller) control based on only output measurements is proposed with unknown control gain function for a class of affine nonlinear systems.
An adaptive fuzzy cerebellar model articulation controller-based (CMAC) nonlinear control with the advantage of architecture learning is proposed.
This paper attempts to propose a hybrid adaptive cerebellar model articulation controller (CMAC) sliding mode control (SMC; called HAC-SMC) with a supervisory controller for a class of nonlinear system, in which the HAC composed of a direct adaptive CMAC and an indirect adaptive CMAC control is performed as the SMC.
This paper proposes a hybrid control architecture and an algorithm which integrates cerebellar model articulation controller (CMAC) or fuzzified CMAC with fuzzy logic control and bang bang control under an intelligent supervisor.
In the proposed control system, an adaptive recurrent cerebellar model articulation controller (RCMAC) is used to mimic an ideal backstepping control and a robust controller is designed to attenuate the effects caused by unmodeled dynamics, disturbances and approximate errors.
