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Internet advertising is a relatively new area where feedback control has become critically important for scalable optimization. But using feedback control in this space is challenging due to nonlinear, time-varying, and uncertain plants. In this paper we propose a high-fidelity model reference adaptive controller for reference tracking of budget-constrained advertisement campaigns.
The adaptive state feedback control problem for multivariable piecewise linear systems with switched parameters is considered in this paper. A direct state feedback model reference adaptive control (MRAC) scheme is developed based on high frequency gain matrix decompositions. This scheme relaxes a key design condition, namely the high frequency gain matrices sharing a common L matrix in their LDS...
This paper studies some key technical issues of discrete-time adaptive control of a continuous-time nonlinear aircraft flight system with uncertain structural damage. A linearized discrete-time aircraft model with a dynamics offset is obtained from the discretized nonlinear aircraft model, which characterizes large unknown system parametric and structural changes caused by structural damage. The invariance...
In this paper, an adaptive feedback-based stable fault detection scheme is developed for linear time-invariant systems with sensor uncertainties and system parameter uncertainties. A parametric sensor uncertainty model with additive faults and multiplicative faults is introduced. To employ the model-based fault detection method, the sensor dynamics is derived. Based on the newly developed sensor dynamic...
This paper studies the discrete-time multivariable model reference adaptive control (MRAC) design for discrete-time linearized aircraft systems under damage conditions. A discrete-time sequential linear system with uncertain parameters and an unknown dynamics offset is used to model the large uncertain system parametric and structural changes caused by damage. The invariance properties of the two...
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