Optimal input design concerns the design of an input sequence to maximize the information retrieved from an experiment. The design of the input sequence is performed by optimizing a cost function related to the intended model application. Several approaches to input design have been proposed, with results mainly on linear models. Under the linear assumption of the model structure, the input des...

In this paper, we establish an event-triggered intelligent control scheme with a single critic network, to cope the optimal stabilization problem of nonlinear aeroelastic systems. The main contribution lies in design novel triggering condition input constraints, avoiding Lipschitz assumption on inverse hyperbolic tangent function. Based improved weight updating criterion that eliminates require...

We consider several fading channel models for which we aim to maximize ergodic capacity subject to different power constraints assuming that channel state information (CSI) is available at both the transmitter and the receiver. We characterize the optimal power allocation structure in the single-inputsingle-output (SISO), multiple-input-single-output (MISO), and multiple-input-multiple-output (...

A feedback linearizing control strategy for discrete-time nonlinear systems subject to input constraints is proposed. The control system comprises: (i) a feedback linearizing controller; ( ii) a constraint mapping algorithm that transforms the actual input constraints into constraints on the feedback linearized system; and (iii) a linear model predictive controller that regulates the resulting ...