2018 19th International Carpathian Control Conference (ICCC) 2018
DOI: 10.1109/carpathiancc.2018.8399625
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Linear and nonlinear optimal controller design for a 3 DOF helicopter

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Cited by 4 publications
(3 citation statements)
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“…The difference of this approach from the linear approach is that in the linear case, the locations of the eigenvalues in the disc are fixed, whereas in the nonlinear case, the locations of the pointwise eigenvalues can move inside the disc at each time instant because of the changing dynamics of the system. In this section, we will first describe the methodology of the state-dependent regional eigenvalue assignment (SDREA) introduced in our previous studies [31,32]. Then, we will define two different update algorithms to update the disc parameters at each time instant, and we will complete the section with a simulation study to verify the effectiveness of the proposed algorithms.…”
Section: Methodsmentioning
confidence: 99%
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“…The difference of this approach from the linear approach is that in the linear case, the locations of the eigenvalues in the disc are fixed, whereas in the nonlinear case, the locations of the pointwise eigenvalues can move inside the disc at each time instant because of the changing dynamics of the system. In this section, we will first describe the methodology of the state-dependent regional eigenvalue assignment (SDREA) introduced in our previous studies [31,32]. Then, we will define two different update algorithms to update the disc parameters at each time instant, and we will complete the section with a simulation study to verify the effectiveness of the proposed algorithms.…”
Section: Methodsmentioning
confidence: 99%
“…The state-dependent Riccati equation (SDRE) can be also used to design the rEA controller for nonlinear systems. In [31], a state-dependent regional pole assignment controller design was proposed for a class of nonlinear systems. The SDRE was modified using the given disc parameters to ensure that eigenvalues located into the desired disc using the modified optimal control law.…”
Section: Introductionmentioning
confidence: 99%
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