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Event triggering-based control method for T-S fuzzy network system

An event-triggered, fuzzy network technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve problems such as information confusion and data packet loss, and achieve the effect of saving cost and reducing communication load

Inactive Publication Date: 2018-12-21
HUZHOU TEACHERS COLLEGE
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

In previous studies, the delay, packet loss and information confusion caused by the network are mainly caused by the limited network bandwidth.

Method used

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  • Event triggering-based control method for T-S fuzzy network system
  • Event triggering-based control method for T-S fuzzy network system
  • Event triggering-based control method for T-S fuzzy network system

Examples

Experimental program
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Embodiment Construction

[0048] Such as figure 1Shown: The controlled object existing in the network is a kind of nonlinear discrete object, described by T-S fuzzy model, the controlled object includes external disturbance ω(k), the controlled output vector sampler z(k), and The received control input variable u(k) from the executor comes and executes the control command; the state of the controlled object is sampled by a time-driven sampler, and the sampling period is h; the sampler cooperates with the keeper, respectively Sampled data x at the current moment i (k) and the sampling data at the previous moment By introducing event-triggered tact (ETM) to compare the relative error between them to determine the sampling data Whether it should be passed to the controller.

[0049] The operation control method of the specific method in the computer is described in detail as follows:

[0050] Step 1: Add an event trigger mechanism in the network control system, and establish a closed-loop system mod...

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Abstract

The invention provides an event triggering-based control method for a T-S fuzzy network system. Stability and H<infinity> performance analysis is conducted on nonlinear NCSs based on an event triggering mechanism. A system model is built through a T-S fuzzy model; a transmission strategy of the event triggering mechanism (ETM) is provided by adopting a relative error threshold idea on the basis ofthe system model; a corresponding state feedback controller is designed by introducing a parallel distribution compensation (PDC) technology; and by constructing an appropriate Lyapunov-Krasovskii function method and combining a linear matrix inequality (LMI) idea, a sufficient condition for ensuring the mean square stability of the system and an index for ensuring the system to meet the certainH<infinity> performance are obtained.

Description

technical field [0001] The invention relates to the field of event-triggered network control systems, in particular to a method for controlling an event-triggered T-S fuzzy network system. Background technique [0002] Networked control systems (NCSs) are gaining prominence due to the rapid increase in demand for automation, industrial process control, manufacturing, robotics, and many other applications over the past few decades. In previous studies, the delay, packet loss and information confusion caused by the network are mainly caused by the limitation of network bandwidth. To solve the many problems posed by bandwidth, we need to find a new way to improve the system. [0003] It is well known that the Takagi-Sugeno (T-S) fuzzy model system has been widely used in the past few decades, and it can fully and effectively represent a class of linear systems. Nowadays, complex nonlinear functions can also be generated by using T-S fuzzy model, and only a small number of fuz...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 李祖欣崔琛焕杜树新许冬芹钱懿陈慧英王燕锋薛彦
Owner HUZHOU TEACHERS COLLEGE
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