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This controller architecture separates the control design into two steps: (a) a performance controller and (b) a robustness controller.
An alternative to control them is a supervisory multi-mode controller architecture that allows to meeting multiple control objectives.
We propose a controller architecture for soft-landing control with quantized input.
Because of implementation constraints, cost, and reliability considerations, a decentralized controller architecture is often required for controlling large-scale interconnected dynamical systems.
The library components belong to the control objects layer of the open controller architecture and implement functionality for sensor interfacing, sensor modeling, pattern recognition, state estimation and state regulation.
Moreover, the optimal fixed-point realization and controller architecture are selected as a tradeoff between control performances and FPGA resource occupancy.
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The resultant adaptive fuzzy decentralized control with multi-controller architecture guarantees stability and convergence of the output errors to zero asymptotically by local output-feedback.
A multi-realization can be used to efficiently implement a multi-controller architecture for multiple model adaptive control.
As future work, it is intended to include the generation of a complete multi-portable Model-View-Controller architecture.
Ruby on Rails is an open source web application framework written in Ruby that follows the MVC or Model-View-Controller architecture.
They've moved away from XML/XSLT transformations and towards a MVC (model-view-controller) architecture, with significant leverage of Microsoft's ASP.NET.
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