Design And Performance Evaluation Of A Fuzzy-logic
... simulation study and then fine tuned by experimentation. The advantages of fuzzy control in this case are obvious. It provides adaptively decreasing step size in the search that leads to fast convergence. Besides, the controller will accept noisy and inaccurate signals. Note that it does not need wi ...
... simulation study and then fine tuned by experimentation. The advantages of fuzzy control in this case are obvious. It provides adaptively decreasing step size in the search that leads to fast convergence. Besides, the controller will accept noisy and inaccurate signals. Note that it does not need wi ...
Designing smart transducers using feedforward neural networks
... systems [2]. A newer area of applications for neural networks is that of instrumentation systems, more specifically, the development of intelligent transducers. As instrumentation equipment and measurement procedures become more automated, the need for sophisticated sensors and a control approach in ...
... systems [2]. A newer area of applications for neural networks is that of instrumentation systems, more specifically, the development of intelligent transducers. As instrumentation equipment and measurement procedures become more automated, the need for sophisticated sensors and a control approach in ...
Field Control – Transfer of Control Persons Responsibility for Work
... 11.1.1 Immediately prior to the release to Field Control, the Distribution Control Person shall agree, normally in one communication with the Field Control Person who is to assume Field Control, all Switching necessary to transfer the required part of the System, and shall record the time of issue o ...
... 11.1.1 Immediately prior to the release to Field Control, the Distribution Control Person shall agree, normally in one communication with the Field Control Person who is to assume Field Control, all Switching necessary to transfer the required part of the System, and shall record the time of issue o ...
Implementing Complex Motor Control Algorithms with a
... The open source Eclipse IDE has become a standard among embedded developers. Many MCUs are supported via an Eclipse-based IDE provided either by a third party tool supplier or by the silicon vendor themselves. An Eclipse plugin from one supplier can be inserted into the Eclipse environment from anot ...
... The open source Eclipse IDE has become a standard among embedded developers. Many MCUs are supported via an Eclipse-based IDE provided either by a third party tool supplier or by the silicon vendor themselves. An Eclipse plugin from one supplier can be inserted into the Eclipse environment from anot ...
Distributed control system
A distributed control system (DCS) is a control system for a process or plant, wherein control elements are distributed throughout the system. This is in contrast to non-distributed systems, which use a single controller at a central location. In a DCS, a hierarchy of controllers is connected by communications networks for command and monitoring.Example scenarios where a DCS might be used include: Chemical plants Petrochemical (oil) and refineries Boiler controls and power plant systems Nuclear power plants Environmental control systems Water management systems Metallurgical process plants Pharmaceutical manufacturing Sugar refining plants Dry cargo and bulk oil carrier ships Formation control of multi-agent systems