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The problem of sampled-data $\mathcal {L}_{2}-\mathcal {L}_{\infty }$ consensus control for the multi-agent systems with nonlinear dynamics and external disturbances is investigated via dynamic output feedback (DOF) strategy. Both the control input and the measured output are sampled. By employing the input/output delay approach, the multi-agent system with sampled-data DOF control protocol is transformed...
This paper study the adaptive robust sliding mode controller design of a class of uncertain systems with time-varying delay. The uncertainty is norm-bounded, but the upper bound is unknown. Firstly, an integral sliding surface is designed so that the reaching phase has been eliminated. A sufficient condition such that the sliding mode is asymptotically stable is given in term of LMIs(Linear Matrix...
In wireless sensor network studies the main objective is minimizing the energy consumption so that the lifetime is maximized under the limited battery capacity constraints. In most event-driven surveillance applications, the end-to-end delay should also be minimized. In this paper we present a new BT-MAC (balanced energy-latency tradeoff Media Access Control) which reaches a good balance between energy...
In wireless sensor network studies the main objective is minimizing the energy consumption so that the lifetime is maximized under the limited battery capacity constraints. In most event-driven surveillance applications, the end-to-end delay should also be minimized. In this paper we present a new EDO-MAC (energy and delay optimization Media Access Control) which reaches a good balance between energy...
To the lack of a common positive matrices in the stability of fuzzy control system with time delay, combing the information of membership functions, the piecewise Lyapunov functional is used and the controller is designed in different sub-space. Finally, example show the correctness and validity of theorem.
The problem of robust control for time-delay system with nonlinear uncertainty is considered, a state observer is exploited to reconstruct the state of system, then controller is designed by using a new theory of exponential stability and a new analysis method. The result is dependent on the upper of time delay. A example is finally presented to illustrate the efficient of the result.
This paper presents an intelligent coordinate control method and its application. An intelligent coordinate controller was designed based on the combination of expert intelligent coordinator, expert controller and fuzzy neural network controller. The expert intelligent coordinator assigns the expert controller and fuzzy neural network controller to control the plant independently or coordinately....
At present, earth conductivity is a key factor which influences the calculation accuracy of the correction value of low-frequency ground-wave propagation time delay. Based on the practically metrical data and academic estimate method of time delay of low-frequency ground-wave propagation, this paper adopt the immune clonal computation method to inverse the earth equivalent conductivity of the propagation...
Stabilization of nonlinear uncertain fuzzy system with time delay is discussed in this paper, combining the describe system approach, two slack matrixes are bring into matrix P . The result is given by linear matrix inequality. The introduction about slack matrixes not only improves the inequalities resolvable, but the result dependents on delay. An example is finally presented to demonstrate the...
The system in different faulty state can be represented by different model. The multi-model approach based on Bayesian decision is used for fault detection and isolation. The system with different time delay of input, which is regarded as different level of fault, will be detected by this method. The effectiveness of the proposed method will be tested by the Monte Carlo simulations even in the presence...
The data of complex industrial system were usually arrayed in the form of time series. This paper put forward the multivariate time-delayed principal component regression (MTPCR) method, which utilized the historical time series in the production process so as to establish a systematic prediction model. This method can calculate the delayed time of each input and output tunnel by which the modeling...
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