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This paper presents an adaptive gain scheduling control strategy for vehicle suspension design. A quarter car suspension model with a nonlinear dynamic model of the hydraulic actuator is employed. The feedback control gains of the controller designed using a combination of LQR control and nonlinear backstepping techniques are adapted to the changes of road input in order to provide optimal suspension...
This paper presents an adaptive gain scheduling control strategy for vehicle suspension design. A quarter car suspension model with a nonlinear dynamic model of the hydraulic actuator is employed. The feedback control gains of the controller designed using a combination of LQR control and nonlinear backstepping techniques are adapted to the changes of road input in order to provide optimal suspension...
Direct NDP is in the family of approximate dynamic programming designs aiming at using learning and approximation methods to solve dynamic optimization problems formulated in dynamic programming, and to overcome the curse of dimensionality. Due to the statistical learning nature of the approaches, researchers usually make use of statistical measures to evaluate the design performance of the learning...
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