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Given an existing closed-loop system where a basic controller controls the rigid body modes, the problem of interest consists in designing an adaptive controller that could deal with the flexible modes of the system in such a way that the performance of the first controller is not deteriorated even in the presence of parameter variations.
The paper summarizes the basic controller design steps, describes a technique for practical implementation of the nonlinear control systems derived, and presents experimental results obtained with the INFANTE AUV during tests at sea.
The paper summarizes the basic controller design steps, describes a technique for practical implementation of the nonlinear control systems derived, and presents experimental results obtained with the AUV during tests at sea.
The basic controller follows a Modified State-Dependent Riccati Equation MSDRE scheme.
Based on the augmentation of spacecraft dynamics and kinematics, a pseudo-linear formulation is derived and used for the development of the basic controller.
Therefore, an internal model control structure is proposed to compensate these errors in order to overcome this deficiency where the basic controller is an inverse type-2 fuzzy model.
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But whereas Broadcom specializes in basic controllers, the parts that regulate the flow of data, NetLogic focuses on designing advanced processors embedded in routers, which rapidly analyze data for quality and security issues.
The basic controllers of this architecture are the emotional processes that decide which behaviors the robot must activate to fulfill the objectives.
In this sense, simple controllers can achieve the basic control problems and controllers with more computational resources can be in charge of more complicated decisions.
A hierarchical control system comprised of a DMC and a basic regulatory controller was constructed.
To facilitate the integration of the dDAQ system in control and measurement networks the module includes a basic Input/Output Controller (IOC) functionality of the Experimental Physics and Industrial Control System (EPICS) architecture.
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