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Nonlinear networked system filter under multipath fading channel and design method

A multi-path fading channel and filter design technology, applied in the field of wireless networks, can solve problems such as filter parameters cannot be set accurately, system performance degradation, component aging and rounding errors, etc., to achieve easy programming, Good anti-interference performance and high computing efficiency

Active Publication Date: 2019-06-21
SHANGHAI OCEAN UNIV
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Problems solved by technology

[0003] In practical applications, when the filter is implemented, there are always some unavoidable disturbances or drifts, such as limited word length, aging of components and rounding errors, etc., which makes the designed filter parameters cannot be accurately set Certainly
Once the filter parameters are perturbed, even a small change may lead to serious degradation of system performance or even complete failure
Traditional robust filtering is only designed for the parameter uncertainty or structural uncertainty of the system model, but ignores the influence of the gain uncertainty of the filter itself, which means that the traditional filter is highly vulnerable

Method used

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  • Nonlinear networked system filter under multipath fading channel and design method
  • Nonlinear networked system filter under multipath fading channel and design method
  • Nonlinear networked system filter under multipath fading channel and design method

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Embodiment Construction

[0021] According to one or more embodiments, such as figure 1 and 2 As shown, a non-fragile H ∞ Filtering method, comprises the following steps:

[0022] Step 1: Establish and analyze the nonlinear networked system, and establish the following discrete T-S fuzzy nonlinear model

[0023]

[0024] Where θ(k) is the antecedent variable of fuzzy rules, r is the total number of fuzzy rules, g i (θ(k)) is the fuzzy membership function of the i-th rule, satisfying g i (θ(k)) ≥ 0 (i=1, 2, ..., r), are the state vector of the system, the measured output and the estimated signal, respectively. System Matrix A i ,E i ,B i , F i ,C i ,D i and L i is a constant matrix of appropriate dimension; φ(s) is the initial state. is l 2 External input disturbance on [0, ∞); is l 2 Output measurement disturbance on [0,∞); is a zero-mean white Gaussian noise sequence, satisfying δ ks is a Kronecer function and w(k) and n(k) are independent of each other.

[0025] Step 2...

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Abstract

A method for designing a nonlinear networked system filter under a multipath fading channel comprises steps of establishing a discrete T-S fuzzy nonlinear model based on the analysis of a nonlinear networked system; establishing an L-order Rice fading model to describe the multipath fading phenomenon of a wireless communication channel; and constructing a non-fragile H[infinite] filter.

Description

technical field [0001] The invention belongs to the technical field of wireless networks, and in particular relates to a nonlinear networked system filter and a design method in a multipath fading channel. Background technique [0002] The wireless network control system based on wireless network technology is used in some special extreme or high-risk environments, such as in the military field, a large-scale offensive and defensive system based on a networked control system, through the cooperative control of the weapon platform, making the attack and defense more effective. In such applications, the channel attenuation phenomenon of wireless communication is ubiquitous. Generally, the radio beam emitted by the communication ground station is relatively wide. Due to the influence of many factors such as ground objects, landforms and sea conditions during its transmission, the signal received by the receiver is an electromagnetic wave arriving through multiple paths such as...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
Inventor 韩华翔朱建平霍海波
Owner SHANGHAI OCEAN UNIV
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