Sentence examples for network control design from inspiring English sources

In this paper, we develop a decentralized neural network control design for robotic systems.

In this paper, an adaptive critic design (ACD -based robust on-line neurACD -based controbustsign is developed for a class of parabolic partial differeneuralequationetwork systems with unknown nonlinear dynamicontrol

Although we take signal times into account, but this approach has a far more reaching application in urban network control and design.

In this paper, we discuss opportunities and challenges in the Grid resource management infrastructure and network control plane design, critical to the provision of network-assisted extensible Grid services on the metropolitan scale.

For a class of unknown nonlinear time-delay systems, an adaptive neural network (NN) control design approach is proposed.

MPLS and GMPLS are revolutionary new network control capabilities designed and standardized in the Internet Engineering Task Force (IETF).

Combining the adaptive backstepping technique with neural network, an adaptive neural-network-based fin control design method is proposed for the ship roll stabilization.

In this paper, by incorporating the dynamic surface control technique into a neural network based adaptive control design framework, we develop a backstepping based adaptive control design approach for uncertain non-affine pure-feedback nonlinear systems.

In this paper, the synergism and saturation system (S-systems) representations are used to describe signal transduction networks and a control design idea is presented.

The packet dropouts and network-induced delays, which are two typical network constraints of data transmission through network, are considered in control design.

This paper investigates the adaptive neural network optimal output feedback control design problem for nonlinear continuous-time systems with actuator saturation.