A Fuzzy Proportional-Integral State Estimation Method for Nonlinear Systems with Redundant Delay Channels
A nonlinear system and state estimation technology, applied in general control systems, control/regulation systems, instruments, etc., can solve problems such as state estimation of nonlinear systems, and achieve the effect of ensuring easy execution and good estimation effect
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[0086] This embodiment describes a fuzzy proportional-integral state estimation method for nonlinear systems with redundant channels, which is based on fuzzy proportional-integral technology to solve a class of state estimation problems for nonlinear systems with redundant time-delay channels .
[0087] Such as figure 1 As shown, a fuzzy proportional-integral state estimation method for nonlinear systems with redundant channels, the steps are as follows:
[0088] S1. Establish a system state space model based on T-S fuzzy modeling technology, as shown in formula (1):
[0089]
[0090] Among them, x(k) represents the state variable of the nonlinear system at time k, and x(k) is n x dimensional column vector; y(k) represents the measurement output signal of the nonlinear system at time k, and y(k) is n y dimensional column vector; z(k) represents the signal to be estimated at time k, and z(k) is n z dimensional column vector; ω(k) represents energy bounded noise, ω(k) is ...
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