1821Distributed Control

Traditionally, distributed control refers to a class of concepts and techniques used to solve complex control problems which may be formulated as a number of smaller interconnected sub-problems. The sub-problems involve some degree of coordination in their solutions. Distributed control systems are appropriate for large-scale systems with hundreds of variables that make centralized control infeasible. A typical application of distributed control is for designing fault tolerant systems where the failure of a single subsystem must not lead to catastrophic failure of the whole system.

Another related area, intelligent control, deals with methods aimed at enhancing the capability and flexibility of controllers from the servo level to the level of process management and process coordination in complex systems. In intelligent control, techniques such as expert systems, neural networks, and genetic algorithms are used along with recent communication, distributed processing, and operations research strategies to extend the performance and range of controller operation. These techniques rely on the accuracy of system models and the reliability and response characteristics of inter-process communications and are firmly rooted in conventional control theory. While there are several viable distributed control strategies, choosing a particular strategy depends on application-specific tradeoffs.

Solar Stirling Engine Basics Explained

Solar Stirling Engine Basics Explained

The solar Stirling engine is progressively becoming a viable alternative to solar panels for its higher efficiency. Stirling engines might be the best way to harvest the power provided by the sun. This is an easy-to-understand explanation of how Stirling engines work, the different types, and why they are more efficient than steam engines.

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