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The problem of topology identification is valuable to understand and control complex networks. Furthermore, many complex networks are spatio-temporal in the real world. This study proposes a method to identify the topology of complex spatio-temporal networks with coupling time delay. Adaptive observer and novel updating laws are designed to provide the estimation of the topology. Finally, a numerical...
This paper deals with the problem of measurement feedback impulsive control for synchronization of uncertain delayed stochastic complex networks with switching topologies. The network topology consists of r modes and switches from one mode to another according to a Markovian chain. The parametric uncertainties are assumed to be of a linear fractional form. Based on the Lyapunov functional method and...
This paper investigates the tracking performance of continuous-time, multi-input multi-output, linear time-invariant systems in which the output feedback is subject to an additive white Gaussian noise corruption. The problem under consideration amounts to determining the minimal error in tracking a Brownian motion random process, which emulates a step reference signal in the deterministic setting...
Internet-based control is the way of monitoring and adjusting plants from a remote site over the Internet. The major challenge of this new kind of control systems is how to deal with Internet time delay. Our recent study illustrated that there is a great potential to overcome Internet time delay from the control system architecture aspect such as by using multi-rate control schemes. In this paper,...
In this paper, a direct learning control method for a class of switched systems is proposed. The objective of direct learning is to generate the desired control profile for a newly switched system without any feedback, even if the system may have uncertainties. This is achieved by exploring the inherent relationship between any two systems before and after a switch. The new method is applicable to...
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