Modern physical experiment imposes stringent requirements on the speed of computing devices built into an experimental setup. The purpose of them is to manage the simulated processes in a timely manner synchronized with the rate of parameters change. Coordinated by the interaction of physical and computational processes in the experiment most often determines the receipt of adequate results. At developing of control systems for experimental installations, not only calculations of functional characteristics and dependencies are required, but also a logical analysis of the input information. Survey of a large number of sensors, the need to control numerous devices and physical installations results in an avalanche of the software growth, slowing down information traffic, and increasing of the computing load on computers. All this complicates the task of coordinating of computational and physical processes in the experiment, and reduces the reliability of control systems. The proposed approach to increasing the efficiency of computing systems is based on the distribution of computers within the experimental setup. Methods of continuum computing devices embedding into the control of interacting processes and their transformation into one of the links in the system are considered. On the basis of continuum processors, a hardware implementation of a distributed knowledge processing system is created, which is built into the complex of control and management tools for complex experimental installations.
The use of embedded processors is the most promising direction in the development of automatic control systems. The article is devoted to analog models and technical solutions that allow continuous analysis of information in a technical system in order to synthesize control signals. Technical solutions are obtained on the basis of continuum logic methods, which aim to increase the speed of embedded computing networks, reduce power consumption, and unify the element base of analog processors. The effect of high speed is achieved due to the transition from sequential digital calculations to parallel synthesis of analog control signals. Examples of the implementation of schemes for the synthesis of control commands using the developed models of logical operations are given.
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