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LinkedIn Learning is an American online learning platform. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology, and Certifications.
An electronic speed control (ESC) is an electronic circuit that controls and regulates the speed of an electric motor. It may also provide reversing of the motor and dynamic braking. Miniature electronic speed controls are used in electrically powered radio controlled models. Full-size electric vehicles also have systems to control the speed of ...
A modern digital test controller. Digital test controllers are devices (usually computer based) that provide motion control [1] by processing digital signals. Typically a controller has inputs connected to sensors on the device they control, which measure the feedback, its current state (for example the current position), and process this signal to provide an output to a hydraulical ...
Iterative Learning Control (ILC) is an open-loop control approach of tracking control for systems that work in a repetitive mode. [1] Examples of systems that operate in a repetitive manner include robot arm manipulators, chemical batch processes and reliability testing rigs.
Additionally, open-source hardware organizations such as OpenCores are collecting free IP cores, paralleling the open-source software movement in hardware design. Soft macros are often process-independent (i.e. they can be fabricated on a wide range of manufacturing processes and different manufacturers).
BELBIC is one such nonlinear controller – a neuromorphic controller based on the computational learning model shown above to produce the control action. This model is employed much like an algorithm in these control engineering applications; intelligence is not given to the system from the outside but is actually acquired by the system itself.
It is also known as the cerebellar model articulation controller. It is a type of associative memory. [2] The CMAC was first proposed as a function modeler for robotic controllers by James Albus in 1975 [1] (hence the name), but has been extensively used in reinforcement learning and also as for automated classification in the machine learning ...