A synovium control method, system, device and computer readable storage medium

Abstract

The invention discloses a slide form control method, system and device based on a Markov jump system and a computer readable storage medium. The system comprises a controlled system, a sensor, a firstevent detector, a first zero-order holder, an observer, a second event detector, a second zero-order holder and the closed loop Markov jump system of a controller, and the controlled system, the sensor, the first event detector, the first zero-order holder, the observer, the second event detector, the second zero-order holder and the closed loop Markov jump system of the controller satisfy a preset stable condition; according to the stable condition, a first positive weighting matrix preset in the first event detector is larger than 0, a second positive weighting matrix preset in the first event detector is larger than 0, a positive definite matrix is larger than 0, and a matrix carrying unknown and known conditions of the transition probability is considered. According to the slide formcontrol method, system and device based on the Markov jump system and the computer readable storage medium, by presetting the stable condition in which the unknown and known conditions of the transition probability of the controlled system are considered, the overall system is more stable; meanwhile, through the event detectors, the communication frequency of the overall system is reduced, and blockage of an information channel is avoided; the observer can observe the state of unknown states in the controlled system, so that the controlled system also runs more stably.

Description

technical field [0001] The present invention relates to the field of synovium control data processing, in particular to a method, system, device and computer-readable storage medium for synovium control based on a Markov jumping system. Background technique [0002] In order to deal with model parameter uncertainty and nonlinearity, sliding mode control method has been applied in many complex dynamic systems. In the past few years, many synthetic problems in sliding mode control have been studied, and the feasibility of the proposed method has been confirmed by theoretical results, but the transition probabilities of Markov systems studied by most people are known, and Most transition probabilities are unknown in practical systems. [0003] Therefore, it is very necessary to study this special case, how to solve the part of the system whose transition probability is unknown becomes the focus of our research. Contents of the invention [0004] In view of this, the purpose...

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Problems solved by technology

In the past few years, many synthetic problems in sliding mode control have been studied, and the feasibility of the proposed method has been confirmed by theoretical results, but the transition probabilities of Markov systems studied by most people are known, and In practical systems most transition probabilities are unknown

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