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This paper is motivated by the practical control considerations that non-uniformly sampled data systems with time delay and unknown colored noise (NUDSTC) are abundant in industrial process. First of all, the lifted state space model of NUDSTC is derived and the corresponding input-output relationship is obtained. Next, a recursive general extended identification algorithm is used to estimate the...
This paper is motivated by the practical control considerations that scarce measurements or missing measurements of systems are abundant in control systems like chemical process control and network-based control. An auxiliary model based recursive least squares algorithm is derived to estimate the parameters of the input-output representation with scarce measurements. Further, we present an adaptive...
For the control issue of non-uniformly sampled data systems, a novel control scheme is proposed by using multiple sub-models. The input-output relationship model is obtained by using mathematical analysis and derivation for a class of multi-rates systems non-uniformly sampled from their continuous-time systems. For unmeasurable information vectors arising in the identification model, an auxiliary-model-based...
In this paper, an active queue management (AQM) algorithm is investigated based on adaptive fuzzy sliding mode control for the problem of congestion control in TCP complex systems with unknown nonlinear disturbance. A sliding surface is constructed based on Lyapunov-Krasovskii method for the particular network model, and a sufficient condition is proposed for robust asymptotic stability of the system...
With the continuous progress of the society, requirement of the position control precision for the crane is becoming higher and higher. The running laws of the crane are analyzed and the electromechanical coupling model is established in this paper, thereby the state of the motor and the load's motion are unified effectively. Based on this model, the adaptive backstepping strategy is designed by regarding...
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