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2017 Iranian Conference on Electrical Engineering (ICEE) 2017
DOI: 10.1109/iraniancee.2017.7985108
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Development of stochastic optimal controller for Itô uncertain model of active suspension system

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“…The quarter-car active suspension system has been also studied for other topics and algorithms, for example, an adaptive control method to adjust the controller parametrization for the current driving state, 23 an approach to the design of road adaptive active suspensions by a combination of linear parameter-varying control and non-linear backstepping techniques, 24 an adaptive fault detection and isolation scheme to guarantee good suspension reliability, 25 a fixed-order procedure utilizing convex optimization and linear matrix inequalities to control a quarter-car uncertain active suspension system, 26 a bioinspired adaptive tracking control, 27 a modal control to alter the complex eigenvalue of the body-bounce mode of a quarter-car suspension model, 28 a linear model and control, 29 a pneumatic muscle based active suspension control system, 30 a comparison of linear quadratic regulator and model predictive controller, 31 a Itô-type stochastic optimal control approach. 32…”
Section: Related Studiesmentioning
confidence: 99%
“…The quarter-car active suspension system has been also studied for other topics and algorithms, for example, an adaptive control method to adjust the controller parametrization for the current driving state, 23 an approach to the design of road adaptive active suspensions by a combination of linear parameter-varying control and non-linear backstepping techniques, 24 an adaptive fault detection and isolation scheme to guarantee good suspension reliability, 25 a fixed-order procedure utilizing convex optimization and linear matrix inequalities to control a quarter-car uncertain active suspension system, 26 a bioinspired adaptive tracking control, 27 a modal control to alter the complex eigenvalue of the body-bounce mode of a quarter-car suspension model, 28 a linear model and control, 29 a pneumatic muscle based active suspension control system, 30 a comparison of linear quadratic regulator and model predictive controller, 31 a Itô-type stochastic optimal control approach. 32…”
Section: Related Studiesmentioning
confidence: 99%