2010 International Conference on Electrical and Control Engineering 2010
DOI: 10.1109/icece.2010.178
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Design and Simulation of LQR Controller with the Linear Inverted Pendulum

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Cited by 41 publications
(22 citation statements)
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“…Where y is the state column-vector, r is the desired state column-vector, Q and R are weight-defining matrices and F is determined by the state feedback law [23]. LQR control was achieved by using a linearization of the system presented in Eq.…”
Section: Lqr Controlmentioning
confidence: 99%
“…Where y is the state column-vector, r is the desired state column-vector, Q and R are weight-defining matrices and F is determined by the state feedback law [23]. LQR control was achieved by using a linearization of the system presented in Eq.…”
Section: Lqr Controlmentioning
confidence: 99%
“…The rule base is given in Table 2. The membership functions for the velocity and yaw angle of the robot are given in Figure 4 [15] had discussed about the Implementation of LQR controllers on Inverted pendulum. Also [7] has an extensive section about how to implement using Matlab.…”
Section: Fuzzy Logicmentioning
confidence: 99%
“…Therefore, the airship shape are designed based on circle and arc, with rounded features and non-directional, the internal structure to rely on the principle of the honeycomb conjecture. [9][10][11] In order to achieve the purpose of the flight, the use of mathematics in the relationship between point and surface, rational distribution its forward Motor System and balanced Motor System, and they are on the function both independent and cooperation [12]. They can achieve independently operation under artificial conditions.…”
Section: Research Of Software Systemmentioning
confidence: 99%