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- W4377231503 abstract "In this work, a Linear-Quadratic Regulator (LQR)-based control scheme is designed for a highly nonlinear and unstable inverted pendulum system. The system is linearised about its vertical position based on certain assumptions. Initially, weight matrices of the LQR controller are selected based on a trial and error method. These matrices are then optimised using a multi-objective genetic algorithm (GA) and whale optimization algorithm (WOA). The robustness of designed controllers is tested by reference tracking and parametric uncertainty analysis. The results reveal that optimisation of LQR by WOA provides superior performance compared to GA." @default.
- W4377231503 created "2023-05-23" @default.
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- W4377231503 date "2023-01-01" @default.
- W4377231503 modified "2023-09-29" @default.
- W4377231503 title "Optimum LQR Controller for Inverted Pendulum Using Whale Optimization Algorithm" @default.
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- W4377231503 doi "https://doi.org/10.1007/978-981-99-0969-8_31" @default.
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