2019
DOI: 10.1155/2019/7340392
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Neural Adaptive PID and Neural Indirect Adaptive Control Switch Controller for Nonlinear MIMO Systems

Abstract: This paper proposes an adaptive switch controller (ASC) design for the nonlinear multi-input multi-output system (MIMO). In fact, the proposed method is an online switch between the neural network adaptive PID (APID) controller and the neural network indirect adaptive controller (IAC). According to the design of the neural network IAC scheme, the adaptation law has been developed by the gradient descent (GD) method. However, the adaptive PID controller is built based on the neural network combining the PID con… Show more

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Cited by 19 publications
(11 citation statements)
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“…Gaussian function usually called Gaussian and used to arbitrary real constant and non-zero variable; it is simple and using it with the RBF network does not increase the computational complexity when using it with a significant variable or large dataset. where better analysis results can be obtained when executing the data set [22], [23]. The Gaussian function expressed as (14):…”
Section: Radial Basis Function (Rbf) With Gradient Descent Pid Tuningmentioning
confidence: 99%
“…Gaussian function usually called Gaussian and used to arbitrary real constant and non-zero variable; it is simple and using it with the RBF network does not increase the computational complexity when using it with a significant variable or large dataset. where better analysis results can be obtained when executing the data set [22], [23]. The Gaussian function expressed as (14):…”
Section: Radial Basis Function (Rbf) With Gradient Descent Pid Tuningmentioning
confidence: 99%
“…Generally, the fixed parameters reduce the control performance [28]. In order to overcome this problem, many researchers focusing on the inventing of new modified PID, like integrating the neural network with traditional PID controller (NN-PID) in references [29][30][31].…”
Section: Introductionmentioning
confidence: 99%
“…Above all these classical trajectory tracking methods, many researchers start introducing neural network into the UAV control system, especially in recent years. In reference [20], an adaptive switch controller (ASC) is proposed for the nonlinear multi-input multi-output system (MIMO). In this paper, the ASC is an online switch between the neural network adaptive PID (APID) controller and the neural network indirect adaptive controller (IAC).…”
Section: Introductionmentioning
confidence: 99%