— In this paper, we propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifierFbased feedback linea...
We examine the problem of reliable networked control when the communication channel between the controller and the actuator periodically drops packets and is faulty i.e., corrupts...
Shreyas Sundaram, Jian Chang, Krishna K. Venkatasu...
This article contributes to our major study of decentralized controller design using a multiple-derivative and multiple-delay paradigm for control. In this installment, we pursue ...
Yan Wan, Sandip Roy, Ali Saberi, Anton A. Stoorvog...
For discrete time nonlinear systems satisfying an exponential or finite time controllability assumption, we present an analytical formula for a suboptimality estimate for model pre...
— We present a networked control scheme which uses a model based prediction and time-stamps in order to compensate for delays and packet dropouts in the transmission between sens...